cloud2030: Recent Episodes
the2030.cloud Podcast
An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud
We discuss the acquisition of Mirantis by the neocloud company IREN, and use it to examine the current market for infrastructure and AI deployment. We look at Mirantis’ consulting business, Kubernetes distribution, and its earlier acquisition of parts of Docker, including the registry and enterprise components.We also consider whether trusted registries could play a role in distributing agents and tools for AI systems, and we compare this idea to package management. We get into an interesting discussion on neoclouds and managed agent providers as part of the operational layer for running AI workloads, including GPU capacity, model hosting, and repeatable deployment.Transcript: https://otter.ai/u/ZBtX6hwwHIqqOBbLDiJwM66wFuM?utm_source=copy_url
In this episode we discuss whether AI and LLMs are changing the role of open source, including the pressure on maintainer review queues and the growing appeal of private forks and internal maintenance. We also talk about the security tradeoffs of those forks, especially around visibility, dependency tracking, and audits. We also get into how domain expertise, documentation, interfaces, and operational knowledge may become more important than the code itself, and why documenting archival knowledge and provenance matters.Transcript: https://otter.ai/u/h61DNW_fV-5QrNBepX7NZvq8dCU?utm_source=copy_url
In this episode we work through a Vibe Coding Operations session using Claude AI inside Digital Rebar as an analysis tool. We describe a three-phase flow of plan, execute, and analyze for inspecting a machine, gathering command output, and reviewing the results. We also talk about troubleshooting an installer problem, differences in user account flag behavior, and improvements in Claude’s debugging across sessions.Transcript: https://otter.ai/u/-wk5QfPFPgYOxm_dOvTSIezDwTs?utm_source=copy_url
This episode we discuss a failure in vibe coding with Claude and Digital Rebar. We try to build a CloudMD-driven setup for running Claude in a container and analyzing inputs, and we run into some problems when the generated design becomes too complex and leads to wrong assumptions. We discuss the broader lesson that too much context can reduce reliability, and that an incremental design approach may work better before extending the idea into FlexiFlow, templates, and other AI-assisted infrastructure tasks.Transcript: https://otter.ai/u/aW8p_bf235g4Eg8nr-YkoiuyUsQ?utm_source=copy_url
In this episode, we continue our exploration of vibe coding, this time we build a prompt for installing Digital Rebar. We test and refine the prompt across multiple runs, focusing on readiness checks, firewall ports, SSH keys, license file handling, and keeping the model within the provided instructions.We also look at where the install keeps failing, including NAT gateway setup, DNS configuration, key selection, and bootstrap completion, and use those failures to make the instructions more explicit. Finally, we discuss using prompts as install instructions for an agent system and how the same approach could apply to other complex setups like as OpenShift.Transcript: https://otter.ai/u/usI73DAlEbWw-3ukeN-wpYSobng?utm_source=copy_url
This week, we continue our Vibe Coding, and use the lessons and prompt instructions we’ve learned from previous sessions to restart the project using the latest version of Vibe Code. We walk through the process of restarting and see the significant difference made by the new tech! We also talk through some alternatives to using Visual Studio. Another great session! The video is available on the2030.cloud. Transcript: https://otter.ai/u/HowJk3d6_RPrRCsE2TOTl1rLQHU?utm_source=copy_url
In this episode, we explore AI's transformative impact on user experience (UX) and the relevance of stochastic and deterministic systems in designing effective AI interfaces. We give our predictions about the decline of traditional form-based UX in favor of conversational interfaces that allow users to interact with AI more naturally.We go into how AI can enhance user experiences by dynamically gathering information, while also addressing security concerns related to sensitive data. It’s a great conversation, hope you enjoy!Transcript: https://otter.ai/u/_KLPdnZ6UvfApikAAtUiBei8cMc?utm_source=copy_url
This week we examine the emergence of Kubernetes as a common infrastructure platform. We contrast cloud assumptions with bare-metal reality and dig deep on supportability, repairability, and the operational challenges of networking, storage, GPUs, and other specialized systems. We also get into brittle vendor tooling, version changes, and how these can make remediation difficult. I think you’ll like this one!Transcript: https://otter.ai/u/cA80HK4iVJWflodPqIYf9mW3Mec?utm_source=copy_url
In this episode, we debrief several industry events I went to last year, including Supercomputing, KubeCon, Stack, the AI Infrastructure Show, and the Red Hat AI Infrastructure Summit. We dive deep into some observations from the shows and what they tell us about the gaps and fractures in how we are working to build AI infrastructure. We focus on how observability is being used for evaluation, tuning, performance issues, GPU dropouts, and cluster management, while anomaly detection and root cause analysis remain less common, and we note that networking is still underserved. We also get into the shift from building clusters to observing and fixing them after deployment, especially for agentic systems, and we end by highlighting the need for observability across application, identity, networking, and infrastructure layers.Transcript: https://otter.ai/u/y6FNvERJRe_8qnmAgVlmvd6kwb8?utm_source=copy_url
In this episode, we discuss the October 2025 Amazon outage. The conversation took place during the outage, and though it’s been a few months now, the insights and discussions are still very interesting. We trace how a DynamoDB and DNS-related failure cascaded through core AWS services and had a larger blast radius than expected. We also look at whether the outage was accidental or malicious and compare it to previous large cloud outages caused by internal errors or cascading failures. Some really interesting ideas come up around redundancy, failover, local infrastructure, and how data-centered business models change priorities around accountability, compliance, and valuation.Transcript: https://otter.ai/u/0SHTGqt3cmSEDX5v8YLsK7eDyIE?utm_source=copy_url
In this episode, we discuss the rising cost of using AI and how usage-based pricing, model changes, and capacity limits are affecting daily work as AI moves from experimentation into operational use. We also talk about multi-model workflows, hybrid infrastructure, and examples of using hosted models alongside open models locally for tasks such as writing and named entity resolution. We get into the need for enterprises to run their own AI infrastructure, including questions around GPU pooling, routing, reservation, data sovereignty, and service levels.Transcript: https://otter.ai/u/pihJkUzDWWcqBnWyM24CIyxX4Qs?utm_source=copy_url
In this episode, we continue our Vibe Coding experiment. Now that we’ve figured out how to interface with MaaS, this time we wrestle with mapping and how different systems interact with each other. We’re joined by Greg Althaus, RackN CTO, who reviews the project and asks some really great questions. We talk about our decision to restart the experiment, taking the lessons we’ve learned to the newer software available. Enjoy!Video available at the2030.cloudTranscript: https://otter.ai/u/NohM8_D7DfbUu9iZc1MSpxi00kg?utm_source=copy_url
in crisis management, and we share some personal stories related to the themes in the book. We analyze the differences between personal and organizational crises, emphasizing storytelling, transparency, and trust as keys to effective leadership. Even if you haven’t read the book, there’s a lot to get out of this great conversation. Transcript: https://otter.ai/u/acAsrwSOpObslvjSVgP59hzucwE?utm_source=copy_url
In this episode, we do some live vibe coding– using AI to write code. We share tips and tricks on having the best vibe coding experience and avoiding some common pitfalls. You'll get to hear what we do, how we discover what the steps are, just how easy it is to interact with the system, to set up a basic environment. We also start to explore the limitations of vibe coding. We encourage you to listen along and try on your own! Transcript: https://otter.ai/u/CqKdtWZWYb3AdPtcb-Ra_kU8HAU?utm_source=copy_url Video available the2030.cloud
Rich Miller and I debrief our experiences at the AI Infrastructure and Edge Summit in Santa Clara. This show was interesting in the way it combined a lot of different pieces together related to AI. We share our thoughts and critiques on the event's sales-oriented focus, which overshadowed meaningful discussions on AI applications and data governance. Transcript: https://otter.ai/u/5zn42OkdumP-HXIdi5YlicUmYRc?utm_source=copy_url
Today we continue our exploration of vibe coding by digging into the Model Context Protocol, or MCP. We look at how MCPs connect chatbots to backend systems, why natural language matters for complex queries, and what it takes to build smarter, more adaptable interfaces. The discussion covers practical strategies for refining and automating these systems using API docs, making this a solid deep dive into the future of human-to-machine interaction.Transcript: https://otter.ai/u/5zn42OkdumP-HXIdi5YlicUmYRc?utm_source=copy_url
In this episode, we talk about scale and the hard realities of system failure in large tech operations. We explore why rare failures become common at scale, and what it takes to build systems that can handle that pressure. From predictive diagnostics to component redundancy, we share practical insights on keeping high-performance and AI infrastructure resilient. This is not theory, it is grounded in real-world lessons from managing complex environments and learning how to plan, isolate, and adapt when things go wrong.Transcript: https://otter.ai/u/X8JYiADfPPLEfQ-ggexAP5P_jGc?utm_source=copy_url
Today we tackle the generational infrastructure shift that's keeping IT leaders awake at night: OpenShift virtualization adoption. We dig deep into why organizations are struggling to migrate from traditional VM-focused infrastructure to Kubernetes-managed infrastructure. We explore the real hurdles blocking this transition and unpack the strategic positioning that matters when you're moving to container-orchestrated infrastructure. This isn't about dumping everything into Kubernetes and calling it done, we examine what it really takes to use Kubernetes as your infrastructure abstraction layer while navigating the operational realities that make or break these migrations.Transcript: https://otter.ai/u/IY2Y0a4aFN99ILg9daArE1nwe-c?utm_source=copy_url
In this episode we dive into the practice of recapturing gear from data centers and how it can be used in the secondary market and the ramifications for that market. What started off as a tangent ended up as a rabbit hole rewarding conversation!Transcript: https://otter.ai/u/QR43ePMfKLNrxH1bZo0Ik8YyKo0?utm_source=copy_url
Today we dive deep into the mystery of Kubernetes installation, specifically OpenShift installation. We help explain why Kubernetes installs look so weird compared to traditional operations, install processes, and where are the playbooks? Where are the scripts? Are the runbooks describing all the steps you need to take? All of it seems to be missing, and in this podcast, we explain why.Transcript: https://otter.ai/u/J802BlcVs3K_OU8B5K5pnQ9fAq8?utm_source=copy_url
We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it's not whether or not you can control AI chips, but what does it actually take to build innovative product? That's where we really have challenges on export and controls. There's military manufacturing and goods, and that's part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are.Transcript: https://otter.ai/u/k6Thp-TOfwKc_RjXHCnTd7tdepc?utm_source=copy_url
In this episode, we talk about how to use AI and agentic AI specifically to rethink log collection and analysis, and find and solve really difficult problems generally. There's a bit of a build up and understanding how we got there will help you appreciate the conversation.Resources:https://www.usenix.org/conference/srecon24americas/presentation/cruzTranscript: https://otter.ai/u/P-p1tfjPhD4lbX8cy6pjRb_icQ0?utm_source=copy_url
Today we riff on vibe coding, and we talk about the human and economic impacts. Can this agentic coding paradigm the use of AI and how will it impact people just starting their careers or building real applications? What is the trajectory for AI, generated systems and code and what is the risk of AI slop?Transcript: https://otter.ai/u/5G4AnR858BJnYVZiPV7w5tgAh0Y?utm_source=copy_url
NOTE: It appears that the Trump administration decided to allow nVidia chips... even so, this is a very interesting discussion.We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it's not whether or not you can control AI chips, but what does it actually take to build innovative product? That's where we really have challenges on export and controls. There's military manufacturing and goods, and that's part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are.Transcript: https://otter.ai/u/k6Thp-TOfwKc_RjXHCnTd7tdepc?utm_source=copy_url
DevOps Lunch and Learn focuses on home labbing versus enterprise use cases and why it is so tricky to satisfy the home user with enterprise products. This really is a dilemma because we love to see more crossover and we're going to talk about why.Transcript: https://otter.ai/u/CgO1zVnY5wDFgRNb7XpdUNyIgr0?utm_source=copy_url
In this episode, we continue our dive into the changing architecture of IT infrastructure and look at how containers and container platforms are changing. We also look at the fundamental nature of what people want to buy, accelerated by VMware Broadcom, making virtualization platforms much less attractive, and the shifting landscape here. This is work that is based on a presentation that I've been giving around the shift towards open shift virtualization and Kubernetes in general.Transcript: https://otter.ai/u/BnYKzI0zzOLqqWi45vck9gMwsDk?utm_source=copy_url
In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems - keeping VMs but with what changes are necessary to make a containerized virtualization platform dominant instead of a virtualized virtualization platform.Reference: https://kubevirt.io/user-guide/architecture/https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization
This episode of the TechOps series goes into high availability troubleshooting. Not just high availability, not just troubleshooting, but actually talking through what it takes to manage and maintain and fix HA systems. This is part of a longer discussion we've been having and so there's some really interesting ideas in the middle of these discussions that I hope will shape your thinking as you build high availability systems, diagnostics and troubleshooting for people who are in high availability very complex environments.Transcript: https://otter.ai/u/wM__4w1YIzZnhVdgLuXLsDDu0Ng?utm_source=copy_urlReferences:https://status.openai.com/incidents/ctrsv3lwd797\
We review 2025 predictions today and dig into why I think this year is going to be both boring and terrifying for a lot of enterprise IT leaders. That, of course, spans Amazon, Reinvent storage, VMware, AI, and Agentic AI - we run the gamut on what is coming and why this is actually going to be a very challenging year.Transcript: https://otter.ai/u/H6UvLC-r2zmBO9A5jffUkhnjr5o?utm_source=copy_urlReference: https://zenoh.io by ZettaScale
In this episode, we dive into all things quantum computing, starting from the idea that Microsoft managed to put a new quantum silicon chip together. We go all over quantum from compute to entanglement and everything in between.Transcript: https://otter.ai/u/Tt282iKZEkt5nL3C3zCDf_-pEIE?utm_source=copy_urlReferences:https://naumanahmad86.medium.com/is-the-mac-mini-m4-cluster-the-ultimate-machine-for-running-large-ai-models-0b6c6a2d9a18 https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/https://arxiv.org/abs/2502.19118
We step back in this episode of our Tech Ops series and talk about cloud self managed infrastructure and how you balance the competing concerns. We started from a report that RackN had commissioned talking about on premises Kubernetes, and mixing that into your IT infrastructure. Can you have a cloud broker? Can you do multi cloud, some sort of tried and true topics for cloud consideration, but through a new filter and through this repatriation idea of mixing and matching your IT Infrastructure? Transcript: https://otter.ai/u/FKGuQpV-5bQFVASAYDhNQJtuoKM?utm_source=copy_urlResources:https://store.repebble.com/https://rackn.com/2025/03/18/ready-for-kubernetes-on-bare-metal/https://www.reuters.com/technology/cybersecurity/google-agrees-buy-cybersecurity-startup-wiz-32-bln-ft-reports-2025-03-18/https://gabrielsimmer.com/blog/kubernetes-plus-oneplus
We springboard from DeepThinking AI and have a robust conversation about what impact DeepThink is having on the industry. We also discuss where we see things going into the dilemma of people building AI infrastructure and working to do that quickly, robustly and with strong governance. This is necessary to ensure that they can quickly update and manage that AI infrastructure that they're spending so much money to build, and this leads into a broader conversation about virtualization, containers and open shift.Recorded Jan 30, 2025Transcript: https://otter.ai/u/79JxdYOiXUoSS44pYP9bnZc4xN0?utm_source=copy_urlReference: https://www.perplexity.ai/search/provide-an-extensive-and-detai-HmRlePfiTQ6LJG_X0SlB5g#8
We deep dive into something seemingly very small, but with a lot of repercussions for how you manage and run a data center, and that is test scripts for servers. As you're going through a production cycle or a provisioning cycle, how do you test? What do you test? This topic was from a Reddit thread that we answered and then had a whole hour conversation about just how important and impactful this type of script is.Transcript: https://otter.ai/u/Cb3yac8JHvlM2yqh72bA_CBPWgs?utm_source=copy_url
Today we dive into RackN high availability technology and what we did to build consensus based raft HA capabilities directly into Digital Rebar. This is one of those episodes where we are talking specifically and only about Digital Rebar, so it is a vendored conversation from that perspective.If you are building HA systems, or are interested in how HA systems work, this is a great session to learn firsthand from our experience!Transcript: https://otter.ai/u/9lA9djczp5GkJbj12k0EzFUXw4g?utm_source=copy_url
The cloud2030 Tech Ops series is an ongoing discussion for us to create what I think of as 200 level content for tech and operations leaders, exploring really complex, deep topics in a thoughtful way to really extend your knowledge base and capabilities in the data center and infrastructure space. Today's episode talks about gitops and immutability, and what we're doing here is connecting together the operational concepts between controls and desired state communications and how that gets executed in infrastructure in an operations sense. Rather than a developer approach, this takes an operations approach. So if you are interested in how to manage immutability and what that means in infrastructure, this discussion is for you.
This is one of those fun conversations where we're really diving not just into the tech but the enterprise consumption of the tech and how people are thinking about it. How does technology like Kubernetes evolve and get used in ways that the community is not thinking about and find a whole new path for adoption and commercialization?If this is going on in your organization, we want to hear from you. We want you to be part of the conversation, because this is a really important transition point for the industry, for people questioning their VMware consumption, and for people looking to expand their Kubernetes footprints. Transcript: https://otter.ai/u/nEzH4t1JDEa51fvQFcWcFzMXmkE?utm_source=copy_url
We talk about current events, the acquisition of data stacks and the closing of the HashiCorp acquisition by IBM. Later, we dive into the productivity of AI and what's going on - are companies really getting the benefits that they expect from AI chat bot integrations and what the challenges are? We touch base on a little bit of something more infrastructure focused, where I give a preview of work I've been doing on separating Kubernetes virtualization from Kubernetes development use cases, which is something that we will be talking about more in the future.References:https://www.windowscentral.com/software-apps/microsoft-just-put-this-controversial-notepad-feature-behind-a-paywallhttps://www.ibm.com/new/announcements/ibm-to-acquire-datastax-helping-clients-bring-the-power-of-unstructured-data-to-enterprise-ai-applicationshttps://www.youtube.com/watch?v=Ioc3r70HNLMhttps://www.linkedin.com/posts/dhinchcliffe_major-agentic-ai-news-for-cios-this-week-activity-7303122989498138624-jR2R/ 20250227
In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems - keeping VMs but with what changes are necessary to make a containerized virtualization platform dominant instead of a virtualized virtualization platform.Reference: https://kubevirt.io/user-guide/architecture/https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization
We discuss Symbolic AI via LLMs for advanced reasoning in manufacturing and real-time analytics. Key points included leveraging symbolic representations and algebraic equations, utilizing knowledge graphs to improve model accuracy, and exploring agentic AI frameworks with specialized agents working together using swarm intelligence principles to tackle complex problems like anomaly detection and process optimization. The group also discussed the challenges of building trust in AI systems and the importance of capturing and storing questions and answers to build a knowledge base.
We revisit edge infrastructure and the motivations behind building and managing edge infrastructure with an unusual take. In this case, we ask ourselves if all of these edge devices are becoming more software defined or becoming more standardized, off the shelf component tree. And will that change how we look at managing and running edge infrastructure? Will we shift compute and operations processes into these ever smarter devices? The answer is going to surprise you.Transcript: https://otter.ai/u/tGIcIC1bijvaW4OkJNm9YCEBdOE?utm_source=copy_url
We explore the certificate issue in which secure boot is potentially compromised because of certificates that have been compromised in ways they could be easily used as for an attack vector. This is a very significant flaw and something that should be on your purview and radar to fix. We're going to talk about what the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. This is a really important episode for anybody running or managing desktops, data centers or infrastructure of any type.Transcript: https://otter.ai/u/59uYpJpra5SutJOpEB_bPZ2CUqI?utm_source=copy_url
Today we go back to our book club and talk about Nonviolent Communication by Marshall Rosenberg. It's really foundational work that has elements pulled into a lot of other books that we've already discussed, and I think it’s essential for people who are looking to be better leaders. It’s also great to learn how to communicate with more empathy, to frame and phrase questions and engagement that explains your feelings, needs and intents, and hear other people's needs. If that sounds a little bit too foo-foo for you, bear with me. This is a really, really, really powerful communication technique.Transcript: https://otter.ai/u/2p1NpJOZbuLxixQVOKETzFZWk8A?utm_source=copy_url
We dive deep into the current state of the venture capital (VC) market, exploring the significant shifts and challenges faced by entrepreneurs and investors alike in the post-COVID landscape.Key topics discussed include:The decline in the allure of VC funding and the impact of "pump and flip" modelsThe market volatility and caution among venture firms due to economic factorsThe changing focus of VCs towards sectors like healthcare, fintech, and deep techThe challenges in building sustainable, billion-dollar companiesThe rise of corporate venture capital and strategic investmentsThe potential for rational valuation adjustments and market consolidationThe importance of clearly articulating the problem being solved and achieving product-market fitThe conversation provides valuable insights for founders navigating the evolving VC ecosystem, as well as investors seeking to adapt their strategies to the changing market dynamics. Join Rob and Rich as they explore the future of VC and the strategies needed to succeed in this dynamic landscape.
We dive deep into the technical details of BootC - a Red Hat-led technology that uses container-like definitions to describe machine boot processes. BootC is an important development, especially as companies embrace containers and seek a unified approach to machine configuration. RackN CTO, Greg Althaus, provides an in-depth overview of how BootC works, its key capabilities, and the potential benefits and challenges for operations teams. They explore topics like BootC's relationship to containers, the concept of immutability, different deployment methods, and the operational considerations around managing BootC at scale.This conversation offers a balanced, non-Red Hat perspective on BootC, highlighting both its technical merits and the significant operational work required to successfully adopt and integrate it. Listeners will come away with a nuanced understanding of this emerging technology and the factors organizations should weigh as they evaluate BootC for their infrastructure.
This episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems downstream from eventing and logging systems. Key topics include the trade-offs between real-time and delayed event processing, the principle of least privilege, and strategies for handling event buffering and dropping. The conversation also touches on security concerns related to event and log data. The episode concludes with plans for future discussions on adding events and logging to scripts to make them more useful.
We dive deep into logging, tracing, metrics, observability, with a specific filter for automation and systems and infrastructure. There's a real challenge here of how you capture information from a running system in a way that provides the right information at the right time. That fundamentally is the question that we are working to answer throughout this really fascinating discussion about logging.Transcript: https://otter.ai/u/msNO2gn1b0FP2lK7rSfplQrCrPQ?utm_source=copy_url
Reference: https://en.wikipedia.org/wiki/Pebble-bed_reactorDo nuclear power and a potential renaissance in nuclear power, driven by the voracious power demands for data centers, have the potential of becoming accepted, local and an economic boom for communities? If you're scratching your head thinking, no way, maybe this conversation will change your mind. Enjoy!Transcript: https://otter.ai/u/yUJapxBhVAhGnPUKgJDMqEJNt8I?utm_source=copy_url
This TechOps episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems downstream from eventing and logging systems. Key topics include the trade-offs between real-time and delayed event processing, the principle of least privilege, and strategies for handling event buffering and dropping. The conversation also touches on security concerns related to event and log data.The episode concludes with plans for future discussions on adding events and logging to scripts to make them more useful.
In this episode, we dive deep into the emerging world of building and training small language models. We'll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we'll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations.Transcript https://otter.ai/u/xJ5T-x70WUFQ55ZAsRQr57q6zwEReference: https://www.composabl.com/
This podcast episode explores the challenges of process improvement in IT operations, using examples from data centers, automotive, and cybersecurity. The discussion covers the slow evolution of secure boot, the difficulties cloud providers face in translating their processes to the broader market, and the emergence of vehicle-to-anything ecosystems. The group delves into the need for standardization and security in vehicle ecosystems, as well as the policy management and automation challenges enterprises face.The conversation also examines the balance of trust in technology versus human expertise, particularly around the use of AI and the risks of generative AI. The CrowdStrike incident is analyzed, with debate around the responsibility of CrowdStrike, Microsoft, and Delta's operational controls. The impact on cyber insurance and the need for broader risk management approaches are also discussed, highlighting the interconnectedness of process improvement and risk management, and the call for greater industry collaboration to address these challenges.Transcript: https://otter.ai/u/93JhNjmekqf0ttX21gsupz4OeBY?utm_source=copy_url
In this episode, we continue our TechOps series, diving deep into the topic of container management. As containers become increasingly mainstream, the need to effectively manage and orchestrate these lightweight, purpose-built environments is crucial. We'll explore the distinctions between container management and orchestration, discussing the different tools, techniques and trade-offs involved. We'll also hear insights from the RackN team on how they've approached container lifecycle management within their own infrastructure management platform, Digital Rebar.This is a rich discussion that touches on everything from Kubernetes to system design trade-offs. So let's jump in and learn how to wrangle those containers!
In this episode, we dive deep into a recent and highly sophisticated SSH intrusion attack that was discovered in the Linux kernel. We'll discuss how the attackers were able to inject a backdoor into a critical compression library, leveraging social engineering tactics to become a trusted maintainer over several years. The attack was designed to bypass security checks and evade detection, even from advanced techniques like eBPF monitoring. We'll explore the technical details of how the backdoor was triggered, the potential impact on various Linux distributions, and the broader implications for software supply chain security.This incident highlights the challenges of maintaining trust in open-source projects and the need for robust security measures to protect critical infrastructure. Join us as we unpack this fascinating case and consider the lessons it holds for the future of secure software development.
A software bill of materials is the idea that we can define and document exactly what goes into a system. We look at governance today and SBOMs as we put it together, both from a software and an operation side. From an operations perspective, it truly is a big challenge. This conversation is a little bit more theoretical than some of the TechOps discussions have been. Enjoy!Transcript: https://otter.ai/u/VXWwg-ltdlwYBFYI_jNCOUmJz6M?utm_source=copy_url
SSH and Secure Shell is one of those topics that people take for granted because it is a ubiquitous way to log in and access systems. True to form for the TechOps series, though, we break that down into much more detailed and granular components. We talk about how to secure it and what best practices are. We also discuss how to use it for tunneling, or, more specifically, not use it for tunneling, and why all of this matters to your operations environment. Listen to what new things we're doing that avoid having to have network access at all.Transcript: https://otter.ai/u/XSRBfnifZOF0-nlNU5Vo_hyoSVU?utm_source=copy_url
Is high availability always a good thing? Today our discussion takes an operations perspective. We look at places where you were over or under committing high availability, where you were confusing disaster recovery for high availability, and perhaps even securing the wrong service or looking at it the wrong way. We cover all of these scenarios with practical, hands-on examples that I know you will get a lot out of. This is good prep for talking about HA clusters, because the idea of coordinating and monitoring systems is core to HA and HA clusters. In our journey with RackN, a lot of customers who thought they needed very aggressive HA systems, once they are confronted with the overhead of maintaining an HA system, have to ask if you really need it. We started with an active/passive HA implementation using third party monitoring to monitor for when the system failed and spin up the second system, creating a live streaming back up to the failover system.Transcript: https://otter.ai/u/vOVZadHvRTFCZGqcI2DC3nQzDgY?utm_source=copy_url
We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data. If you are interested in manufacturing or advanced applications of AI and digital twins - which is where we create accurate representations of physical items - this episode will hit all of your favorite topics!Transcript: https://otter.ai/u/xNB0GZQXB4hQMly991Wk1MwFhjw?utm_source=copy_url
We explore the UEFI certificate issue in which secure boot is potentially compromised. Certificates that are included in most UEFI BIOSes have been compromised in ways that could easily be used as an attack vector, a very significant flaw and something that should be on your purview and radar to fix and patch. We're going to talk about what the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. An important episode for anybody running or managing desktops, data centers or any infrastructure of any type.Transcript: https://otter.ai/u/H15Z2NZDom8Hta8gHJn2mQwziFM?utm_source=copy_url
We discuss the impact AI and data sovereignty data protection will have on platforms, consolidated management of your data like in Office by Microsoft or Google, on premises, and systems. This includes a whole bunch of data that you will want to use to train AI models to improve your day to day operations, but you probably don't want a lot of vendors pulling that data apart and transiting it. We have a fascinating discussion about how the market is impacting these forces.Transcript: https://otter.ai/u/gpyotjoYz5ev-1Q2yvokQi--ipg?utm_source=copy_url
This episode is one of our book club episodes starring John Walpole, who wrote the Two But Rule, which is very tongue in cheek while also very serious about momentum thinking and using a negative bouncy discussion pattern. I like to think of it as a bouncy discussion pattern to really explore ideas and drive ideation in a positive way by asking and challenging people's ideas in a constructive way. Transcript: https://otter.ai/u/2-CzhoZXo1U9URwEc3xnrV-f6-w?utm_source=copy_url
This episode explores the intersection of infrastructure automation and security through the lens of the Crowd Strike outage. We'll discuss the tension between maintaining stable, reliable data center infrastructure and the need to embrace change and innovation.Recent events like the CrowdStrike outage demonstrate the paradox that infrastructure teams face. We'll dive into the importance of having multiple control planes and standardized processes that can adapt to rapid industry changes.Transcript: https://otter.ai/u/Wos9IOPfpSGPOYNT-A4muQccA5w
We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future. In this case, we used up a lot of time before this recording talking about Kubernetes and what's next for Kubernetes and containers, as well as how that ecosystem has been shaping up. This conversation is about the wall gardens that could be broken down, and in some cases, have actually been built taller because of containerization and Kubernetes and infrastructure and how infrastructure works. After that background before going into the discussion, we pick it up on how these ecosystems and walled gardens are self reinforcing as well as chinks in the armor that will allow us to go back to interoperable standards.Transcript: https://otter.ai/u/oZiuGGiJwjsvycVosq4FA7-r4gc?utm_source=copy_url
Power, electrical power, and how the upcoming trend of AI data centers is intersecting as a load with generation, storage, transportation, Bitcoin mining and mining all use power. These are all highly interconnected in how we use and manage the grid, but are using power in different ways.Transcript: https://otter.ai/u/mszdgZE5_TG_H6lywY6S8-RqPsw?utm_source=copy_url
Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices. But they're making a comeback, in part because they're very fast and efficient, but also because with AI tooling and digital twinning, we can design these circuits much more effectively. With 3D fabrication we can actually create these circuits more effectively if they're mechanical. Transcript: https://otter.ai/u/WRIb_V_hWt9KBcbCXYX6z_dD1Ps?utm_source=copy_url
We revisit where we are with Crypto - more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong.Transcript: https://otter.ai/u/1je6MzCQuv0U_9_MOaQtDNMWAQw?utm_source=copy_url
Martez Reed and I have an in depth conversation about the challenges of propagating technology inside of enterprises, this core challenge of selling silos and individual technologies. What Martez describes as beneficial tool sprawl versus building up systems and integrating things and end to end technology. This is what I've been calling infrastructure pipelining. We break down what's going on in the street related to Open Source technology, Kubernetes, other aspects of what's happening and how things fit together in an interesting and dynamic way. Transcript: https://otter.ai/u/2M4P8U1haMsoT2ahg3s4V4_sf-A?utm_source=copy_url
We dive into Shoshana Zuboff’s book The Age of Surveillance Capitalism. Full of amazing insights, predictions and really insightful work, you can literally scan every page and read something fascinating. You don't need the book to follow today’s discussion. We start by watching Apple's new iPad ad before we dive into the book, and I highly recommend that you watch it as well, link in the show notes. It's a good tie into the surveillance capitalism discussion and I think you will enjoy our commentary about it.References:https://www.theverge.com/2024/5/8/24152236/apple-ipad-pro-commercial-artists-aihttps://www.amazon.com/gp/product/1541758005/ref=ppx_yo_dt_b_search_asin_titleTranscript: https://otter.ai/u/Y-bm0QL3Vnfjcy4hgmTIiqkUpNU?utm_source=copy_url
How do you define infrastructure to support inferencing? Today we discuss that and more, including training. We walk through what it's going to take to understand what to buy, what to build, how to build, how to put it together, and how hard it is to actually know what goes into the infrastructure behind an AI cluster. Importantly, exploring why we don't have the answers is the first phase of understanding.Transcript: https://otter.ai/u/2SIZyiLDtfyi_zGrol8qHvHc0gA?utm_source=copy_url
We continue our TechOps series, this case diving deep and cheap into out of band management. One of the things about out of band management is that it quickly turns into an alphabet soup of protocol names, vendor names, specific pieces and even the way we talk about out of band management. We have different acronyms for the same action. In this conversation. Greg Althouse reckons CTO and my co-founder explores lessons learned and things that you need to understand for technical details and a really core understanding of how to build BMC integrations. We even cover why it's so hard to do this well. Even if you have no plans in ever touching an out of band interface, the architectural lessons will help you.Transcript: https://otter.ai/u/Feahh05PQI-1fxVXDRuiFDkgt5M?utm_source=copy_url
System D is our topic for today discussing system processes, how do you manage and control processes, services, and fundamental components of Linux operating systems. In this discussion, we cover how to think about it, how it works, alternatives, process controls, and even how they get applied to containers. Containers were a nice bridge from our previous discussions when we were talking about container management systems. If you are interested in Linux and Linux management, Linux automation, this is a good episode for you!Transcript: https://otter.ai/u/KCK3f95lbUEAEzLgA60k-HbDlGk?utm_source=copy_url
Edge technology versus OT was the focus of discussion today, and in this conversation we cover infrastructure information technology versus operations technology, and the ongoing dilemma of edge sites specifically. This includes factories, retail locations, data center technology and 10th standard cloud with operational tech. Operational tech being vendor locked, narrowly controlled siloed technologies versus general purpose technology. In this case, we're talking about OT as specific vendor locked islands of technology versus IP, which is multipurpose, multifunction shared infrastructure technologies. This podcast addresses the tension and how to resolve it between those two technology approaches.Transcript: https://otter.ai/u/8-ufJsQAb0yrCXkZTBoUM8Detdc?utm_source=copy_url
In the wake of the Baltimore Key Bridge collapse, we discuss how we can improve resilience in the systems that we manage.
DHCP PXE is our subject today. We cover UEFI BIOS and all of the things necessary to do network installs of servers. This incidentally includes thin clients, PCs and other network switches. Specifically, we talked about the process of having secure and robust network provisioning. We go through all the pieces that you need to know how the processes work, both in legacy and in modern current systemsTranscript: https://otter.ai/u/F1u-2ipyfIZ93yp5qdzcpArLtOg?utm_source=copy_url
This episode really highlights the danger of contributor burnout and overload. But it also shows that we're not very good as an industry at sustaining work.Today we dissect what the XZ SSH intrusion attack is, how it happened, what the social engineering was, and the pressure that involved to make that happen.Transcript: https://otter.ai/u/kRqADDwa6DmoZcnQEmqQD1UaxZ8?utm_source=copy_urlReferenceshttps://www.openwall.com/lists/oss-security/2024/03/29/4https://news.ycombinator.com/item?id=39865810https://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/
We explore the synergy of humanoid robots and LLM AI. This episode delves into how robots can learn and interpret their environment in human-like ways, based on a key video listed below. Whether or not you view the video, the discussion offers deep insights into AI's evolving role in human interaction.Transcript: https://otter.ai/u/VqiTSDMDLAKcaF1XuAH8ExhJnLE?utm_source=copy_urlReferences:https://youtu.be/Sq1QZB5baNw?si=dAxLQIws3xkra_mfhttps://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/amp/prompt-engineering-is-dead-2667410624 https://arxiv.org/abs/2402.17764v1 https://www.emergentmind.com/papers/2402.17764
We delve into spatial computing today and discuss Apple's Vision Pro face computer. Everyone in the club2030 group is very interested in augmented reality and virtual reality, and the release of thApple Vision Pro, seems to meet many thresholds that make us surprisingly optimistic about its potential. We discuss aspects we like as well as what we thought was going to be a challenge. Whether you are already watching this space or are new to this concept of a spatial computer from Apple, you'll get a lot out of this conversation.Resources:https://www.barnesandnoble.com/w/rainbows-end-vernor-vingehttps://www.tomsguide.com/reviews/rabbit-r1Transcript: https://otter.ai/u/h61-B-2G9RdWT4gQuguLLDtkkx0?utm_source=copy_url
The compliance death curve is something I’ve been working on as an evolving concept that tries to explain how companies fight compliance governance and standardization efforts, something that is critical to platform team and infrastructure operations. Today we try to decompose some of the mathematics that I've been using into more universal, more easily understood components. We built a compliance flywheel that I found really fascinating which you can see an example of that work in our podcast description. It could also be helpful to check out my previously recorded compliance death curve talk that has been released.Resources:https://www.youtube.com/watch?v=4RUKsakKZI0Transcript: https://otter.ai/u/k9q5ZZ81Hm-EAAtfkVVtKNNqXwE?utm_source=copy_url
TechOps series episode 3 covers how to automate against API's. We discuss exactly the ways in which you can use API's effectively, and ways you can run into trouble. We also discuss how we should be consuming API's, both as a consumer but also in times when we have produced API's. Many ideas discussed were pulled from learning how people consume our API's and what we can do to help make them better and safer. Enjoy this broader TechOps series where we are diving in deep in tips and techniques that improve your journey as an Automator.https://otter.ai/u/5akxcG83FBS1m9PBUnB4rjLzWac?utm_source=copy_urlImage by Dall-E
Our quarterly book club meeting we picked Never Split the Difference by Chris Voss. This book is about negotiation, which we found fascinating because we are all entrepreneurial in some way and handle sales. Next quarter, we'll talk about a related book that we brought up, which is The Two Butt Rule.https://otter.ai/u/g1zFW444R5NseB8rsVe4StMYWEU?utm_source=copy_url
How can we understand agility and adaptability? In this discussion, we get very concrete about the differences between agility and adaptability and why that's important for you as you go on your own innovation journey. This includes looking for places where standards can be applied and accelerate your team, where it's too early, and learning iterations that we would call agile processes more appropriate. We also discuss how teams get caught in the middle between standardization and agility. Transcript: https://otter.ai/u/vsWqEiJpssWnyqlOCm4G-IuDi80?utm_source=copy_urlImage by DALL-E
We dive into data operations in today’s episode! We cover the idea that with all of the work we're doing in AI and ML data analytics analysis, you actually have to steward your data. We also cover processes controls, like what we have with DevOps in infrastructure, but with similar types of concepts (governance controls automation) around how your data is flowing in your system.Transcript: https://otter.ai/u/pesotDnHCCD5lyPVx795EZIhTlA?utm_source=copy_urlImage by DALL-E
We dive into the chaos created by Broadcom’s acquisition of VMware. In this episode, we discuss what Broadcom is doing, why it's a problem, how enterprises are reacting, and what alternatives are on the market. We cover the whole mess in all its glory, and even provide some love for Broadcom.Resources:https://www.thestack.technology/vmware-is-killing-off-56-products-including-vsphere-hypervisor-and-nsx/https://www.siderolabs.com/platform/saas-for-kubernetes/Transcript: https://otter.ai/u/SO8PD-p8AHwwsKfGsNqolSoYTlk?utm_source=copy_urlImage by DALL-E
Join us as we embark on a comprehensive journey to master intermediate and advanced skills crucial for operators, DevOps, and platform engineers. From scripting and service setup to running complex systems, we address the critical gap in training for building, automating, and maintaining resilient and robust systems. Over the coming months, the Cloud 2030 crew will delve into the core skill sets required in this rapidly evolving field.Our series will cover an array of topics, including tools, processes, and methodologies essential for excelling in tech operations. We plan to explore a variety of subjects, aiming to equip you with the knowledge to automate effectively and build resilient systems. This kickoff meeting sets the stage for a year-long exploration into the depths of tech operations, inviting you to contribute your expertise and curiosity. Prepare for an enlightening journey as we lay out our comprehensive Tech Ops agenda.Agenda: https://docs.google.com/document/d/1Yvr8loVNfkxKmaQN5XWEaskzrV9-OsJ4oeKnUcnQ90s/edit?usp=sharing Transcript: https://otter.ai/u/FP_1Ose_jJ7qLezuAVZjFovSyVE?utm_source=copy_urlPhoto by Bence Szemerey: https://www.pexels.com/photo/brown-wooden-frame-with-brown-metal-pipe-6804254/
Departing from our typical podcast format, today’s episode is part of a presentation that I've been preparing about comparing 125 year old house building architecture to modern DevOps. We also analyze as things that work and don't work. There are a lot of home maintenance stories and comparison notes. Particularly in the back half of the episode we get into how this type of challenge relates to Operations Management.Refereces: https://nationalpost.com/news/canada/after-the-second-world-war-canada-thought-it-would-be-a-good-idea-to-install-cardboard-sewer-pipes Transcript: https://otter.ai/u/jf8at50nf0KKQG7DrlQAAbCdqH4?utm_source=copy_urlImage by DALLE: Victorian house with the second floor redesigned in a modern style, featuring extensive use of glass. Each image also includes the porch with rockers and a poodle.
After a brief hiatus, thecloud2030 group is back and deep in tech, talking about things that we think are going to come on the tech front, sans AI. In this episode, we take some time to go through Kubernetes, hardware, software, bill of materials, and some governance. This includes a smattering of predictions to get your year started off with a bang.From there, we are going to be moving into our tech-ops series. Find more details about that in today’s outro!Resources: https://www.theregister.com/2023/12/27/bruce_perens_post_openhttps://developersalliance.org/open-source-liability-is-coming/Transcript: https://otter.ai/u/UQyqHKJ9oNd1SquAWWNqGp6oAcE?utm_source=copy_urlImage by DALLE: cartoon images of a robot reviewing a long bill of materials on a scroll of paper.
How can companies, enterprises and individuals become more innovative? We investigate the idea of innovation and disruption and continue past where we were with the three horizons model in our previous discussions. Today’s podcast focuses on breaking this apart into adapting an agile disruption, the use of standardization and the cognitive dissonance of innovation, even digging down into distinguishing between inventions and applications. Transcript: https://otter.ai/u/XCidE-0xG7zNmIC7FKEwRrJsPi4?utm_source=copy_urlDALL-E Prompt: a factor of rubber chickens getting stretching and upgraded into cybertoys
Let's celebrate the work that we've done as a community in the Cloud2030 group this year, and talk about some really exciting things we have planned for next year for 2024. It's remarkable to look back on how this podcast has evolved from a meeting place during COVID, as a place where we could have those hallway tracks that we had been missing, into something that is really discussing technology at the forefront. The forefront of not just tech, but actually of the human and business implications of that technology.Transcript: https://otter.ai/u/d4Rq_a_tdyihTp5EyzOsnRbQ8jg?utm_source=copy_urlImage by DALL-E
This is our annual year review and prediction episode and it is a doozy. We talk through what has been an incredibly busy year in Open Source, cloud repre, repatriation, AI, ML, chatGPT. We laid down some really interesting insights and then looked forward not just into 2024 but two years of predictions and trends that we see happening. We cover what we think will be shaking, shaping and shaking the market.Referenceshttps://basecamp.com/cloud-exithttps://world.hey.com/dhh/the-big-cloud-exit-faq-20274010Transcript: https://otter.ai/u/13Wdve1WQVCPjXtsf8QnJtg6r0M?utm_source=copy_urlDALL-E Prompt: futeristic graphic of a hall of mirrors with 2023 turning into 2024 and the cast of the wizard of oz
How do we apply the principles of lean to data science and data engineering? We discuss this broadly into using AI and machine learning more generally. This is a topic that we had discussed over the summer and wanted to come back to six months later because so much has changed and transformed in the industry. What does agile lean process control look like in an infrastructure automation platform? How can we make these very difficult and challenging components of data and data management, more agile, more lean? I think you will get a lot out of this conversation considering our current hypercharged AI ml and LM environment.Transcript: https://otter.ai/u/1ZuALgSXcPw-bIf2GOumDFZH0UU?utm_source=copy_urlDALL-E Prompt: please create a picture of a very large truck stuck under a low bridge. please label the truck as ai and the bridge as lean
If you haven’t had a chance to join in on our book groups, I strongly recommend you take a look at the upcoming books we are reading! Today we discussed Data Science and Context, which is a relatively academic book by a series of doctors, PhDs, Specter, Norvig, Wiggins and Wing. The book gets into some really fascinating analysis techniques, addressing both the practical and ethical implications of data science applications. We discuss the biases inherent in the book, the things that are missing and potentially disruptive to the core assumptions of the book. So even if you haven't read this book, I think you will find the discussion fascinating. This week I'm keeping our warm up discussion about open AI in the podcast. So you will get about 10 minutes of bonus content before the book group discussion as a warm up and it is very related. Our conversations about what has been going on with open AI, their board and Q* are directly related to the concluding ideas in our discussion about Data Science and Context.Transcript: https://otter.ai/u/qYBKNhDBKqaghEaxE-I-mz6xDvg?utm_source=copy_urlImage: Data Science In Context cover
How can digital identity be used to build better trust and systems in our daily transactions? There are really significant challenges and consequences to having a national guaranteed identity - a single identity provider. Knowing who you're interacting with, in every form, in every situation is not as simple as you might think. There's a lot of analogues to physical identity that are worth considering. What would it mean for us to not have privacy? Does identity mean we don't have privacy in our interactions? Who can we trust and what authority do they have?Transcript: https://otter.ai/u/o_43fyGjxu24Ur5rpzzy_D6aZCI?utm_source=copy_urlImage by Dall-e prompte: a cartoon like image of a humanoid robot looking into a mirror and seeing a masked pirate version of itself
What incidental, or accidental, surveillance state is being created by all of the video and listening devices that are now embedded in our world? Today we talk through the ramifications of those networks being in private hands in which companies can actually review, analyze and monetize data from these systems. For example - autonomous vehicle cameras and delivery van cameras. This episode discusses the ramifications of this example and more.References:https://arstechnica.com/tech-policy/2023/11/five-big-carmakers-beat-lawsuits-alleging-infotainment-systems-invade-privacy/https://www.vzbv.de/en/court-prohibits-linkedins-data-privacy-infringementshttps://last-chance-for-eidas.org/Transcript: https://otter.ai/u/NszGAX95R70ydlW_fJcbDKAXwTM?utm_source=copy_urlImage by Dall-e prompt: "1950s era cartoon of an autonomous car with a lot of cameras spying on people"
What is innovation? Today we continue this discussion, specifically drilling into the three horizons model for creating growth and value. We spend a lot of time talking about how companies innovate using that model, what it means and what are examples of it? How does that spark take place? We bridge you further down the innovation learning process in this meeting.Transcript: https://otter.ai/u/He9h2NVxazKMDN9a13TcurXsqXU?utm_source=copy_urlImage by Dall-E prompt “please create a close up picture of a flock of birds navigating between three different horizons. the birds are smart and know which why they need to go”
We dive deep into the technical subject of governance and policy enforcement, including the tools, techniques and processes that you need to be aware of to do a good job with policy and governance enforcement. We cover how to get started, what to think about, what to be aware of, and chip away at your governance and policy challenges including developer development portals, infrastructure pipelines and DevSecOps. Transcript: https://otter.ai/u/ND90jKHwbklUBOAwT1XkgEo2pbs?utm_source=copy_urlImage by Dall-E prompt “please make a carton that shows a regulator who is managing cloud and IT assets using impractical tools”
We dive into the dynamics of open source projects and monetization today, specifically starting around the TerraForm and open tofu split. That topic is one that we love to chew over and potentially over analyze, but today’s discussion is different. We go into how ecosystems are built both in open and proprietary and cloud systems, and look at sort of a historical perspective on what makes a project successful from an ecosystem perspective. We also dive into why some projects work like that, and why some projects don't. Today’s episode gives a new take on some of the dynamics going on in the open source communities through the lens of what happened with Open Tofu and TerraForm.Transcript: https://otter.ai/u/ONDvgS9yGMrSN-bXMTy9KMC-XPs?utm_source=copy_urlPhoto by James Wheeler: https://www.pexels.com/photo/lake-pebbles-under-body-of-water-1574181/
We discuss innovation, a favorite topic of ours, today. Instead of diving in for a structured conversation, we dove at the bait that was offered by Marc Andreessen in his techno optimist manifesto. If you haven't read it, I would suggest taking a moment to read it before you listen to the rest of the podcast, but you do not have to! It is definitely an interesting opinion piece about the power of innovation, which is why it was a good input for our discussion. We have our own unique perspective and a robust discussion about how innovation should work that tees up further conversations about the three horizons model for innovation.References:https://a16z.com/the-techno-optimist-manifesto/Transcript: https://otter.ai/u/6qOpnFW0LMvh-rvZfwko93SC5CY?utm_source=copy_urlPhoto by RDNE Stock project: https://www.pexels.com/photo/woman-in-black-jacket-sitting-beside-woman-in-gray-sweater-7413891/
What does it take to implement governance and compliance, because they are process controls much more than individual technologies. Today we discuss that a lot of the talks seem to be about governance and compliance, and we have a fascinating discussion about governance compliance and Kubernetes. The idea that Kubernetes is maturing, losing the drama that is a hallmark of its first decade now and moving into a focus on managing how to control and have security, compliance and normality. Yet all of those things have a degree of tension with the vendors and users, which puts single choice compliance and governancein direct conflict with open source competitive ecosystems. This makes for a fascinating conversation where we touch on some really important issues for the industry.Transcript: https://otter.ai/u/mAkvsYgMYMp_W8BizkoSxliYgrg?utm_source=copy_urlImage: Generated by Dall-E
How do we limit and regulate LLMs and AI? We approach this at multiple angles and look through what it's like to regulate this type of technology. If you're interested in the limits of any technology, and specifically how AI gets regulated, and where we're likely to impose legislative barriers or restrictions on this, then this will be a fascinating podcast for you.Transcript: https://otter.ai/u/8IsFB-H-U3XzpQ751l2fs_c3-vE?utm_source=copy_urlPhoto by Pixabay: https://www.pexels.com/photo/black-android-smartphone-on-top-of-white-book-39584/
What goes on behind the scenes with AI, and specifically data center infrastructure and hardware? We discuss broad ranging concerns, opportunities and market blockers around AI. We also address how deeply it can impact innovation companies' privacy legislation from the frame of hardware and automation. Today’s discussion leads us to a larger question of what unlocks innovation in general that we will address in future podcasts.Links: https://research.aimultiple.com/wp-content/webp-express/webp-images/uploads/2023/10/Total-funding-for-ai-chip-makers.png.webpTranscript: https://otter.ai/u/3FUaZ3m8JabYLyJZGHZnpjgd81Y?utm_source=copy_urlPhoto by Tim Samuel: https://www.pexels.com/photo/woman-handful-of-unhealthy-chips-6697286/
If you follow cloud2030 discussions or any of my podcasting over the last decade, Edge is a very interesting topic to me. Today’s episode is a short update on the state of the edge from a very specific position. In this discussion, I walk through with Josh why edge has been hard for us to nail down from a technology perspective. This is something of special interest to RackN as we keep honing and refining our IT edge infrastructure technology set. Transcript: https://otter.ai/u/OtzOtPvoyiAKZdxJjmE4q9HpSfo?utm_source=copy_urlPhoto by Khoa Võ: https://www.pexels.com/photo/unrecognizable-man-sitting-on-rooftop-edge-against-cloudy-sundown-sky-5780744/
The TerraForm fork, now known as the OpenTofu project, is our first topic in today’s episode. We discuss what's going on with that, the challenges, as well as the potential pressures from HashiCorp that created this whole situation.How do we get experts to recover their authority and how do we look at organizations like that? We have about 20 minutes of really involved conversation about the book, Death of Expertise by Tom Nichols, from the previous podcast. If you haven't heard our first part of the conversation, I suggest you go back and listen to our full Death of Expertise podcast.We cover two topics, one of them short term and one of them long term. So it’s a nice, balanced industry discussion around what the fork means, what its impacts are and a little bit of recap. There's some really spicy opinions around 32 minutes in if you want to jump forward, we resume our discussion about death of expertise.Transcript: https://otter.ai/u/zGUYDP6DynzxPBNLM9dcePneb7Q?utm_source=copy_urlPhoto by lil artsy: https://www.pexels.com/photo/person-about-to-catch-four-dices-1111597/
What are the potentials for biasing LLM models? We dive into biases both in good ways and in bad ways. Is the expertise that we're feeding into these models is not sufficient to actually drive the outcomes that we're looking for? We're going to be eliminating humans out of the loop in a relatively short period of time. Both outcomes, at the moment, feel equally probable, which is troubling. We dive into how and why that happens, what's going on, and some concrete tips for how you can improve your prompting to avoid these same pitfalls.Transcript: https://otter.ai/u/v3MaWiCWEe-G1ar2O0KpriJf9vU?utm_source=copy_urlPhoto by Marta Nogueira: https://www.pexels.com/photo/pink-and-blue-background-divided-diagonally-with-two-matching-colored-pencils-placed-on-opposite-colors-top-down-view-flat-lay-with-empty-space-for-text-17151677/
We continue our book group series today about the Death of Expertise by Tom Nichols, which is very dense with a lot of provocative and thought provoking comments, topics and ideas. It was so interesting that we decided we needed two sessions to fully unpack this. This is part one, which is about how expertise as a society is handled, how social media changes and the cyclical nature of confidence in our institutions, and how technology is shaped in buying patterns in use by expertise. If you’re interested, please participate in part two of the discussion! We also talked about the Dunning Kruger effect, the idea that the less you know about something, the more confident you are, and that gaining knowledge makes you more knowledgeable but also less falsely confident in how you present yourself. It’s a more complex topic than that very short summary.“It is difficult to get a man to understand something, when his salary depends on his not understanding it.”― Upton Sinclair, I, Candidate for GovernorTranscript: https://otter.ai/u/m--7wT4fRjdodT3qRuXs6N8VB4E?utm_source=copy_urlImage is book cover
Can large language models effectively supplant developers and DevOps engineers? Today we go deeper into how the models can be trained, if they can be trusted, and what is the upside or positive use case in which we really turn LLMs into the type of weighing person experts that they have the potential to be versus simply something that turns up the volume on how fast you generate code. We also talked about the downsides of that type of model and the potential upsides of how powerful using these tools as assistants could emerge to be as a key aspect here to transform and improve the outcome for work.Transcript: https://otter.ai/u/u3bArfIvx40oUXnRLtSXwAx_Iuw?utm_source=copy_urlPhoto by Pixabay: https://www.pexels.com/photo/aeroplane-aircraft-airplane-aviation-33224/
We recap the Google Next event and do a deep dive into the interesting topics Google was announcing at their flagship cloud event. We looked at what they were doing for AI, but also some new services offerings around what's going on with Cloud. Then we pulled back and went into generative DevOps, something we're going to be diving into more and more as we explore how to better use large language models in DevOps and automation building/ Fascinating topics and some probing questions at the very end of this discussion.Transcript: https://otter.ai/u/1l0Q6SuFHV7EIG1kBqrWM3wlOec?utm_source=copy_urlPhoto by Tima Miroshnichenko: https://www.pexels.com/photo/a-person-holding-a-container-full-of-money-7009477/
What’s going on from VMWare to Broadcom to HashiCorp and their license changes. We discuss current topics, even to the sad news about Kris Nova passing during a mountaineering expedition. If you'd like to catch up on the tech news, then this topic hopefully has aged well and you will enjoy it!Transcript: https://otter.ai/u/J18ecRKKwc8As_TLyChs_IdI_Ao?utm_source=copy_urlPhoto by Oziel Gómez: https://www.pexels.com/photo/man-wearing-gray-long-sleeved-shirt-and-brown-shorts-holding-black-dslr-camera-on-mountain-925263/
How do Edge and Compute and SaaS and cloud influence everything that we do? We covered topics from VMware explorer and talked a lot about Edge. That led to AI ml, which led to another topic, which led to another topic. If you enjoy hearing about how interconnected our technology and choices are, everything from Bitcoin to edge, and cloud and government interaction, this is the podcast for you because we cover pretty much all of it and connect it together. Remember that on September 14, we are having one of our quarterly book club meetings on the death of expertise. Resources:https://www.fiercewireless.com/wireless/telcos-and-road-digital-promised-landTranscript: https://otter.ai/u/wf2OahZkgp9tzF7eJu0-V08-8jY?utm_source=copy_urlPhoto by Aksonsat Uanthoeng: https://www.pexels.com/photo/close-up-photo-of-assorted-color-of-push-pins-on-map-1078850/
How do you regulate large language models? We look at the challenges of regulating these AI approaches and how governments and companies can approach it. We untangle how these models work, and dive into the mechanics of what information is controllable. We walk through concrete information that is a benefit to you here as our listener, and incentive for you to join us in future conversations as we continue to unravel it.
In addition, John Willis was on the panel today, and he started us off with a story about API's, Amazon, Jeff Bezos, and O'Reilly from the warmup. So you'll get a short bonus story by John Willis before we start.
References https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act-aida-companion-document https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence#:~:text=Parliament's%20 priority%20is%20to%20make,automation%2C%20to%20prevent%20harmful%20outcomes https://www.trade.gov/market-intelligence/uk-ai-regulations-2023 https://content.naic.org/cipr-topics/artificial-intelligence
Transcript: https://otter.ai/u/dBRQBFNz8d01taQ-iMelFGdR2Zk?utm_source=copy_url Image: https://www.pexels.com/photo/measuring-guitar-pick-3988555/
What is technical debt, and how does it apply to large language models? We dive into a really interesting conversation that goes from technical debt into system and code maintenance, which is probably a much better way to think about the challenges we have in maintaining the infrastructure systems, code, data and data lakes that we have to deal with on an everyday basis.
How do we maintain, store, track and update the LLMs themselves? How do we know and manage which model is being used when we retire a model?
References: https://www.linkedin.com/pulse/how-google-measures-manages-tech-debt-abi-noda/ https://devops.com/are-llms-leading-devops-into-a-tech-debt-trap/
Transcript: https://otter.ai/u/ngUClgtMmLLKXCFalDxFNsNdVr4?utm_source=copy_url Image: https://www.pexels.com/photo/anonymous-worker-in-heavy-duty-gloves-3846440/
A coming Data Darkage is on its way, where we're watching Reddit, Twitter and other companies take what used to be publicly available information and put it behind a paywall or gate.
Because of the way large language models are using this data and the value of the data, we are expecting to see that trend accelerate. This will have profound implications for how we think of, share, and use data in the coming years.
Transcript: https://otter.ai/u/e1XCyhSa9V81bgMpbox8ujZObuo?utm_source=copy_url Photo by Pollianna Bonnett: https://www.pexels.com/photo/young-brunette-woman-with-sunglasses-crouching-on-blue-chair-17687131/
Hashicorp made a license change into a BSL, a business license which is not open source that allows or makes code available, but instead restricts the use of Hashicorp products to people who are effectively paying customers or enterprise customers.
If you're embedding or repackaging the software or competing with Hashicorp, you are prohibited from using it. We spent this podcast looking into why, how, and what implications there were, as well as historical precedents.
References * https://www.runtime.news/hashicorp-closes-a-door/ * https://opentf.org * https://blog.gruntwork.io/the-future-of-terraform-must-be-open-ab0b9ba65bca * https://spacelift.io/blog/spacelift-latest-statement-on-hashicorp-bsl * https://ir.hashicorp.com/news-releases/news-release-details/hashicorp-announces-first-quarter-financial-results-fiscal-0 * https://www.hashicorp.com/license-faq#competitive-product-bsl-coverage * https://www.linkedin.com/posts/rhirschfeld_hashicorp-closes-a-door-activity-7097631727665233920-MxcP/
Photo by BİLAL KARADAĞ: https://www.pexels.com/photo/yk-1-17939409/ Transcript: https://otter.ai/u/ZjTzZZiYh_dXri3rSkjkD50GPuc?utm_source=copy_url
We talk about DataOps, but if you’re expecting this to be DevOps for data - you are mistaken. Today we talk about engineering data through the idea of data stewardship or how you manage and control the data.
Beyond permissions and access into the costs and how things are stewarded, how logs are handled, who controls how much access and how quickly people have access, where you're putting the data to improve its effectiveness, and more. There is so much going on above the infrastructure, but below that actual analytics, this conversation will open your mind to a whole layer of challenges related to governing and managing data.
Transcript: https://otter.ai/u/SDaRomv41JtQYM7a6C1Hy7cOpy8?utm_source=copy_url Photo by Taryn Elliott: https://www.pexels.com/photo/person-holding-cupcake-with-white-icing-on-top-4099125/
This is the second installment of our book group, which is a discussion about Investments Unlimited. We have one of our authors, and a great all around DevOps enthusiast, John Willis, on the call with us.
As you might expect, while we talk about the book and John gives a lot of background and details about the book, we treat it with the classic cloud2030 style, and bring in AI, large language and advanced DevOps.
We take the topics of the book to the next level, and frame it in the moment of the year, looking beyond and into how the concepts of compliance, validation, team coordination and risk assessment are incorporated into the coming AI and how it changes in our landscape.
Sources Book https://www.amazon.com/Investments-Unlimited-Compliance-Thriving-Digital/dp/1950508536 https://techstrong.ai/aiops/the-rise-of-shadow-ai/ https://guidehouse.com/insights/financial-services/2021/public-sector/garp-three-lines-of-defense
Transcript: https://otter.ai/u/uC9c3xJS4oATQx7BrYeHAOjFHsY?utm_source=copy_url Image is book cover
Is Kubernetes actually creating the amount of cloud portability of infrastructure agnosticism that we hope it will? If we're using the same platform across multiple clouds, multiple infrastructures, multiple management teams, does that actually create portability?
It's a key question for us in building cloud architectures, making decisions about the architect and about how we build architect applications, and even how we structure our teams. In this conversation, we get to the heart of answering that question, but our answers might surprise you.
Transcript: https://otter.ai/u/ASE9dLnP8qo2jednZB5CoDhqLVc?utm_source=copy_url Image: https://www.pexels.com/photo/black-and-white-border-collie-puppy-in-brown-bucket-3908821/
The Red Hat changes in how they publish the source code for CentOS sent a stream specifically, but unlike all the other conversations that I've heard, we dive into how enterprises can inoculate themselves from this type of disruptive change. We also address what it means for the ecosystem of vendors and how we can build better software in response to the potential fragmentation of Red Hat, Linux Enterprise Linux or Enterprise Linux distros.
This was a surprising conversation, because we addressed a lot of important trends in how companies depend on Linux stability, and what they could do. If you are in this boat with all of us looking at how to have stable long term secure infrastructure using Linux, you will love this podcast.
Transcript: https://otter.ai/u/dmrcCulS0X1CC4YGHOWtzMdXyio?utm_source=copy_url Image: https://www.pexels.com/photo/photo-of-people-sitting-beside-table-3182755/
We use ChatGPT to live create DevOps, automation, Ansible, TerraForm, Python, and interact with different clouds to get advice on how to set up clouds.
This discussion includes a screen share session, so if you're listening to this audio there will be times when we are talking about something you can't see but I do make a point of working to explain what we're doing. There’s also a video of the screen share session if you prefer.
Transcript: https://otter.ai/u/MPvT7SP0FCSe02asm8_iSunXz6o?utm_source=copy_url Image: https://www.pexels.com/photo/pink-background-with-speech-bubble-1111369
Video Link TBD
What does it take to make a good decision? We discuss an interesting take on this as we integrate the topic of how to sell into situations, and selling is the ultimate drive in a decision.
Our conversation mixes the challenges of making decisions as a leader with the challenges of selling into organizations where people have to make a decision to choose your product. It also includes tips on how to frame decisions, how to position decisions, and more.
If you engage in projects and selling them to your boss, supervisor, company, peers, reports, etc - you need to be able to understand why it is important to move forward and make a decision or change. If you're not able to sell, you’re not well equipped for being a leader.
Transcript: https://otter.ai/u/1SRbrNbmISOgTUyV2Xp8AZtmKZU?utm_source=copy_url Image: https://www.pexels.com/photo/man-looking-at-a-vintage-car-3056057/
What can we expect generative AI to generate and is it going to produce good code? Today we talk about Gluecon and generative DevOps and the different concepts and capabilities around it. What impact is it going to have on developers? How do we control that?
Today’s discussion was in preparation for our session on June 13, where we're going to group program GPT to see what type of DevOps coding skills we can prompt. We talked about the necessity of prompting in this session and covered some tips to help you think about how to be a better prompt engineer, a skill set that everybody's going to need to have in the next months if not years.
Transcript: https://otter.ai/u/lsye_htH0-wksAOrqgbUu5TCtpU?utm_source=copy_url Image: https://www.pexels.com/photo/man-welding-round-window-frame-2965260/
What actually is used to describe the provenance and information that comes with our data? Today we discuss metadata and the governance, security, hint, domains, date that accompany data in ways that in some senses are more important than data.
How can we move, change and transform data? We had a really robust conversation about how access to data is so critical in actually understanding how data is used.
This is a topic we struggle with: figuring out the naming, how things work, and the context. More than anything else, the context makes things challenging. As you listen to this, think through how challenging it is to define data, data governance, and using data effectively.
Transcript: https://otter.ai/u/VE2u_jTwG_h4z9ewfI0bya7kvmg?utm_source=copy_url Image: https://www.pexels.com/photo/cheerful-black-teacher-with-diverse-schoolkids-5905918/
What would our systems look like if we didn't have Kubernetes?
We started this discussion with platform engineering and its associated challenges. In talking about platforms, we covered ways in which people can consume infrastructure more effectively. That segwayed directly into ways in which Kubernetes could be changed under the covers, used for virtualization use for non traditional containerized automation.
This episode is a pretty thorough review of alternatives to Kubernetes, and the ways in which Kubernetes misses the mark.
Transcript: https://otter.ai/u/0qX-qloVOzAQ47LgpS2A9yXsoWs?utm_source=copy_url Image: https://www.pexels.com/photo/wrecked-ship-2336927/
How do you deal with the weakest link in security?
Today we talk through how we can secure systems, all the way from what technical processes put in place to the people involved to legal enforcement, and who pays the price when data is compromised? There's a lot to digest here that comes back to thoughtful ways in which we can deal with the weakest link in the systems.
How do we create robust security models?
Transcript: https://otter.ai/u/mkup2hKSzyP0PkpxkkoPbnQrNgw?utm_source=copy_url Image: https://www.pexels.com/photo/brown-thread-2072872/
The book Data Cartels by Sarah Lambda serves as a starting point for our discussion today. https://www.amazon.com/Data-Cartels-Companies-Monopolize-Information/dp/1503633713
A dense and thoughtful book, it is straight up the alley of the type of conversations of the2030.cloud has. Our analysis of the book and the challenges it provides - the data compliance governance, the legality, the threat, and broader implications of what Dr. Lambda lays out - are all really important.
Today’s podcast is understandable and interesting without having had to go through and read the book, but I still recommend that you do.
Transcript: https://otter.ai/u/T5CJzO8pMrpGnLVGo48fOcHcuj4?utm_source=copy_url Image: https://www.pexels.com/photo/lady-justice-and-a-gavel-6077123/
How can you execute on a zero trust strategy and what do you need to keep in mind while building it? Today covers the 101 and 201 levels on zero trust. We had a really good conversation about how it works, what doesn't work, what you need to be prepared for. Even if you think you understand zero trust, you will get something out of this conversation. And if it's a new topic for you, you can also benefit from this pragmatic discussion of zero trust, security and application architects.Transcript: https://otter.ai/u/Z1SO1WuJYT3JmEctZe1-SzlQ_Nw?utm_source=copy_urlImage: https://www.pexels.com/photo/wooden-chair-on-a-white-wall-studio-963486/
Software bills of materials are one of the most critical, modern software development practices that people should be doing but don't. They have significant impacts in improving security, provenance, reproducibility, and license compliance. The benefits of having a good software bill of materials in our technology industry are incredibly high, both as a producer and a consumer. And yet, this is one of those places where I feel like we have really fallen behind.Transcript: https://otter.ai/u/J3VtBLiQMAuZgfMCOz9K62uKjYg?utm_source=copy_urlImage: https://www.pexels.com/photo/photo-of-monumental-sculpture-3810915/
We dig into a topic written about by Eric Norlin or SK ventures about technical debt and AI. In this episode, we discuss the consequences of generative AI could be radically transforming the way in which we generate code and deal with code that has been generated in technical debt. We explore some fascinating concepts about how fast we can iterate, how we change the dynamics of building software, building automation, and the expertise required to architect systems. This leads pretty far down in the path towards disruptive thinking, and how this could reshape the entire industry.Source: https://skventures.substack.com/p/societys-technical-debt-and-softwaresTranscript: https://otter.ai/u/MEtVkoNnZeCu0JHa30-jPOcRrj4?utm_source=copy_urlImage: https://www.pexels.com/photo/piggy-bank-beside-a-flower-4886900/
We continue our discussion of what would the environment look like without Kubernetes? We started with the idea of what if Kubernetes went away, what if there was a copyright or a trademark or an API issue that made us have to abandon Kubernetes altogether? In this episode we played what if scenarios, exploring what made Kubernetes unique, and if parts of Kubernetes or parts of the architectural model could exist outside of Kubernetes? What would be necessary? We identified enough parts of Kubernetes individually where we saw how it itself is an interesting convergence of some core technologies. Nothing new except in the combination of those architectural paradigms, designs and open source models. Through this, we dig into why Kubernetes is so powerful in the market.Transcript: https://otter.ai/u/L7GZRD8-wEnzLIJL5_nLCPfbogY?utm_source=copy_urlImage: https://www.pexels.com/photo/wreck-of-sunken-ship-in-middle-of-bay-12102304/
NOTE: This is Rob's Gluecon topic on 5/24. Save $300 if you register with speaker300 at https://www.gluecon.comWe dive into the question of whether or not generative AI can be used to productively change DevOps automation and the control of infrastructure.We've discussed the closed loop side of using AI to manage infrastructure in the past, but this episode we really dive into the idea of creating automation and using generative AI.Transcript: https://otter.ai/u/VtnznHgydT3_6QSJpkSb3uU2btY?utm_source=copy_urlImage: https://www.pexels.com/photo/tossing-fried-rice-in-a-frying-pan-6937457/
We talk about improving the time it takes to make decisions - called time to decision, a topic that we like to address quite a bit. We started with the news of the day around AI, ml Chaffee GP, and learning models. We asked ourselves if AI/ML and generative AI could change the way expertise is used to make decisions and improve the time to the decision for experts. What type of implications would that have in the market? If you've been tracking this subject, I know you will find this exciting and interesting.Transcript: https://otter.ai/u/L3Kb_I4fe0ggAr9nDEhyECSkt5A?utm_source=copy_urlImage: https://www.pexels.com/photo/person-touching-black-two-bell-alarm-clock-1198264/
Today we look at what it takes to have much more collaborative building of automation, templates and shared components that are necessary to really drive platform engineering, and not just between teams at the same company. We make components for infrastructure automation that bridges the industry because they can be shared much more broadly, similar to the way we share modules in coding languages. We dug into what it takes to make that type of environment work in automation, and what are the prerequisites of the environment? How do we structure automation?Transcript: https://otter.ai/u/IPyFDG19OCH-UekM7Pbfbg1XJx4?utm_source=copy_urlImage: https://www.pexels.com/photo/doctor-operating-a-patient-4421494/
How do we sustain open source? Today we discussed how the commercial models and sustaining models around open source are changing and evolving. We also included some conversations about whether or not generative AI might actually change the economics around that part of open source. We hit on top projects, open source hardware, open source, operating systems platforms, a whole gambit, and how it fits together into a sustainable model for the users, companies, enterprises, and really everybody. We all use open source to one extent or another. We have our book club coming up on data cartels, we're going to be discussing it on May 4th and I hope you take the time to read and come join us.Transcript: https://otter.ai/u/MugVjZkIebPMCepjlVb69YQoX9k?utm_source=copy_urlImage: https://www.pexels.com/photo/wood-road-landscape-mountain-16179008/
A conversation about platform migration turned into an interesting topic about the end of expertise and the changing of the way we think about expertise in a variety of contexts. How can platform improvement be radically transformed by the use of AI? We discuss entering a world where the lock that we've had in a platform, or the longevity of a platform, is radically transformed by the ability to review, scan, test, correct, and transport the data included in that system. The expertise needed to handle platform migration might be entering a new era in which it's radically reduced. What are the implications of those transformations? We address a wide range of the impacts of knowledge, AI, and generative machine learning.Transcript: https://otter.ai/u/4nL-a5_7dMhYBsvSFP3w8ABdXvc?utm_source=copy_urlImage: https://www.pexels.com/photo/shepherd-dog-with-flock-of-sheep-5384726/
How has Kubernetes changed our industry? Today's discussion is part of a multi podcast conversation in which we're going to think about ways in which Kubernetes could go away, or could influence other technologies in such a way to be transformative. We went down the path of what we have learned from Kubernetes and how it influences other aspects of IT operations, architecture and design, and explored the impact that the expectation for declarative immutable operational constructs will play into other aspects of our system. We also discuss micro LS microkernels and how operations are staged to talk about the need for declarative OS, banking on this idea that what Kubernetes has built extends into other areas.Chat GPT Summary: “The conversation is part of a multi-podcast series focused on exploring ways in which Kubernetes could influence other technologies, as well as the potential consequences if it were to disappear.During the discussion, the group delved into the lessons learned from Kubernetes and its impact on various aspects of IT operations, architecture, and design. One key takeaway was the importance of declarative immutable constructs in managing the complexities of modern IT systems. The group also explored the potential for microkernels to revolutionize system design and emphasized the need for declarative operating systems.Overall, the discussion highlighted the transformative role that Kubernetes has played in shaping the IT industry and underscored the importance of adopting a declarative, immutable approach to managing complex IT systems.”Transcript: https://otter.ai/u/7SMjDGwHTMLmfaCACkVrqwrB2k4?utm_source=copy_urlImage: https://www.pexels.com/photo/submarine-moored-in-a-harbor-14707646/
Every time we look at data analytics and data systems, the idea of having a way to manage control and explain the data is actually as important as the data itself. This episode is all about metadata, specifically, metadata related to data analytics analysis, Big Data computation, sort of the data lake metadata problem.Today we discuss the challenges of data management, but also the potential of understanding so much more about how data is used. If you are an IT professional or a data professional, you will find this conversation about how we're going to draw inferences, manage and control all of that data that were collected fascinating.Transcript: https://otter.ai/u/dFF6CfBYOMR3QFydaeeqsKk9UW4?utm_source=copy_urlImage: https://www.pexels.com/photo/woman-standing-beside-wall-mirrors-6208385/
Emily Friedman's DevOpsDays Ukraine presentation about rethinking the software development lifecycle or SDLC sparks our conversation today. She describes looking at it as a multi-dimensional cross functional discipline, that actually accounts for six different vectors of capabilities that need to be factored in - a resilient and robust look at the SDLC. Watch her YouTube:We found that the model does not cover all of the things that we've been discussing as important things to consider in building, deploying, and making software resilient and reliable, most specifically software, build materials, or s bombs.Transcript: https://otter.ai/u/zp0uAu_xis_1fb66sSZlywN0QRo?utm_source=copy_urlImage: https://www.pexels.com/photo/photo-of-orange-pinwheels-3580452/
What are the human and management factors that go into building great platform engineering? And what are the efforts of control having too much control or too much flexibility, not enough collaboration, not creating space for innovation, and changing inside what's inside these platform engineering efforts? Today, we discuss centralized versus decentralized platform engineering, or as came up in the conversation about platform engineering, it's the opposite of Java Enterprise, version and platform. As you're doing this type of work interacting with platform teams should influence how you design and authorize the effort to make that work. What type of slack you need to put in the system and what type of authority needs to be given to the platform engineering team.Transcript: https://otter.ai/u/ySGeMTU_qFeeBbENz4-L7FFG-Yo?utm_source=copy_urlImage: https://www.pexels.com/photo/keyboard-keys-lot-373072/
We check in on data gravity to see how generative AI and conversations about metadata and thinking on data lakes impacts data gravity thinking in general. Data gravity is a concept that has been propagated by David McCrory, a friend of mine, who defined this idea that data itself, the aggregation of data, the use and transit of data has a gravitational effect. That it pulls more data to it as well as workloads towards it. We jumped right into impacts of data gravity in this conversation.Transcript: https://otter.ai/u/qKf75W8OvZHkMtVQRM1M2vi5_qE?utm_source=copy_urlImage: https://www.pexels.com/photo/action-animal-bronco-bucking-33251/
Is hardware going to be innovative and change? Brian Cantrell brings up oxide computing and some of their design motivation. Today we discuss our skepticism about some of his points, as well as the impacts for cloud distributed Compute hardware design mainframes, cloud, repatriation, and a whole bunch of topics about next generation thinking in Compute infrastructure management and applications. We are officially starting our cloud2030 book group and I hope you will join us - we are going to be reading Data Cartels by Sara Landon, followed by Investments Unlimited by John Willis and crew. Book Clubs Links:May 4 > Data Cartels https://www.amazon.com/Data-Cartels-Companies-Monopolize-Information/dp/1503633713 Early July > https://www.amazon.com/Investments-Unlimited-Compliance-Thriving-Digital/dp/1950508536Transcript: https://otter.ai/u/S7CRv2J9fmOjAc8HM_TG9PM3eUw?utm_source=copy_urlImage: https://www.pexels.com/photo/a-man-standing-on-gray-hot-air-balloon-9128460/
How does AI chat and generative AI have the potential to disrupt everything we know about social media? Today we talk Twitter versus mastodon. We spend most of our time talking about the power, influence and simple use cases for generative AI. Is this going to break Mastodon, Twitter and other forms of social media? We have a pretty compelling conversation about that, too. If you're a fan of Mastodon and Twitter, jump forward to about 30 minutes in when we really start getting down to that topic. Stay tuned for our agenda as a bonus extra in the back half of the podcast.Discussed Links:https://jounce.ai/ https://techcrunch.com/2023/02/28/jack-dorsey-backed-twitter-alternative-bluesky-hits-the-app-store-as-an-invite-only-app/https://www.primal.com/about-us/ https://techcrunch.com/2023/03/01/addressing-criticism-openai-will-no-longer-use-customer-data-to-train-its-models-by-default/Transcript: https://otter.ai/u/cVUTxHkYrJ_BhfZetm91mvxlstI?utm_source=copy_urlImage: https://www.pexels.com/photo/bird-sitting-on-top-of-an-elephant-12118214/
What is generative AI and what are people now just generically calling ChatGPT? We put these things in a technical frame, meaning can we use generative AI to improve our programming, testing or automation? What does it take to use these concepts in ways that iteratively improve IT infrastructures. We review the state of chat, ChatGPT, AI infrastructure and things like that.Transcript: https://otter.ai/u/nFCSMPFyUVHO50I0jGP2HXCas7c?utm_source=copy_urlImage: https://www.pexels.com/photo/woman-leaning-on-washing-machine-15625100/
Is platform engineering effective at hiding complexity from developers? Today we tear apart what platform engineering is doing, how it came about and what it's trying to be. We discuss what companies are trying to accomplish with platform engineering - how can successful efforts improve outcomes for development teams and operations teams by improving collaboration in contracts? Why and how is that important, and what do those efforts entail?Transcript: https://otter.ai/u/bVd1_IwEqFD-uEYxsyuffhNTeG4?utm_source=copy_urlImage: https://www.pexels.com/photo/woman-posing-with-mirror-underwater-15674505/
How can the intersection of generative AI machine learning and artificial intelligence be applied to environments using digital twins? Today we discuss digital twins and artificial intelligence. How can we improve the simulations, the systems, the interactions that we build? How can we correctly model complex components of everything from cars to pumps in ways that allow us to then build on top and build more intelligent systems. We come up with some grounded examples. Mentioned: https://projectarrow.ca/Transcript: https://otter.ai/u/A79s08jpJ4-UPyT3132EfU-5DaY?utm_source=copy_urlImage:https://www.pexels.com/photo/two-bernese-mountain-dogs-lying-on-floor-9040438/
Platform engineering is quite buzzy and has a lot of hype at the moment. Today we dug behind the hype to acknowledge how the term is being used and misused. We cover why this is a topic of interest, how it’s driving customer thinking around operations and development teams, how it's working to establish standard operating procedure around infrastructure and operations to support a business, and how those needs drive the evolution of our technology, infrastructure and design thinking.Transcript: https://otter.ai/u/GksMnMIZV0cyM6iwWj_sAd8yNhU?utm_source=copy_urlImage:https://www.pexels.com/photo/person-in-black-vest-holding-fan-of-cards-6255293/
We break down the edge compute cluster by the Chick-fil-A team, and we talk about how they use Kubernetes, specifically K3s in 2500 of their restaurants to build an IoT and restaurant management system. This system uses Intel Knucks, a commodity commercial residential grade hardware. It’s an update on a four year old Kubernetes story with a lot of buzz, and they show how they have been successful building this system. If you're interested in Kubernetes, Edge DevOps and distributed systems, this episode has a lot to enjoy.Transcript: https://otter.ai/u/i0lBYq9PNQevn0AIvXNX9BpnpbM?utm_source=copy_urlImage: https://www.pexels.com/photo/person-in-black-vest-holding-fan-of-cards-6255293/
How do we improve the time to decision for CIOs? Today we talk about general business practice and how we can help. Technical innovators and architects create value for the teams that they support. This can either be from an automation perspective, which is what RackN does, or from a data perspective, which Tyler describes in the podcast today. These are real challenges. When we flip the script and talk about the miscommunication between how CIOs see business challenges and translate business challenges into technical delivery, however, we get into a fascinating set of discussions where Joanne brings up some key challenges for 2023. We also discuss mapping those from CIOs into implementation, followed by ultimately trying to find ways that people can make fast, valuable decisions that feel right. This conversation is rooted in important conceptual executive level thinking. We’ll include the list of points that Joanne talks about below as well as in the show notes, and I highly recommend you check those out.Joanne Friedman’s Key Challenges for 20231. Tackle inflation and margin pressure2. Migrate supply chain disruption3. Make sustainability a pillar4. Calibrate talent management strategy5, Streamline procurement and sourcing6. Strengthen digital thread7. Prioritize innovation initiativesWe try to name these key challenges, but in a lot of cases we are talking about the list or the graphic. You’ll need to refer to the show notes in order to see the complete one.Transcript: https://otter.ai/u/sFESW3yziGOolNbiyt1TlY_IA-M?utm_source=copy_urlImage: https://www.pexels.com/photo/man-holding-clapper-board-1117132/
This episode is a one person retrospective on Cloud 2030. As well as what we want to be talking about and doing over the next year. I hope you'll take a second and listen to my reflection on what we've been talking about and where things are going. Think about what you want the show to be. This podcast is structured around the discussions we come up with together, as well as current events. We try to think deeply and in an unusual way here, and I hope you're getting a lot of that.Transcript: https://otter.ai/u/xg4Z6Q8pVYZHBPDCNUPII9Oql6Y?utm_source=copy_urlImage:https://www.pexels.com/photo/a-man-takes-a-photo-reflection-of-a-vehicle-side-mirror-2887774/
Hazel walks us through the Hackyderm.io leaving the basement migration. We also talk much more generally about Mastodon fediverse and scaling distributed systems. This podcast is like a super class in what it takes to scale infrastructure and systems, especially live and under duress. Every minute of this conversation is worth listening to twice.Check out these resources as well: * https://hachyderm.io/@hazelweakly https://opalstack.social/@d3cline/109638734488964593 https://community.hachyderm.io/blog/2022/12/03/leaving-the-basement/Transcript: https://otter.ai/u/FBIjekCBWcd8tlj1v-knMUxuuMc?utm_source=copy_urlImage: https://www.pexels.com/photo/elephant-cub-kenya-savanna-66898/
Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data. An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still only touch the surface.References:https://yago-knowledge.orghttps://en.wikipedia.org/wiki/OntologyTranscript: https://otter.ai/u/rP_4gi-iDont0r2CaZlmGkYLRiY?utm_source=copy_urlImage: https://www.pexels.com/photo/apples-and-leaves-on-books-14098062/
We get an update for the first time in four years about Chick-fil-A edge Kubernetes clusters that gets to the heart of how building distributed infrastructure works and what the challenges are. Article: https://medium.com/chick-fil-atech/enterprise-restaurant-compute-f5e2fd63d20fWe had a fantastic conversation about laying the foundations for this. We came away with two really important thoughts about what edge infrastructure looks like, how you pick it, can Kubernetes be used, what is IoT and integration, and the design considerations that go into building this environment. Listen to this podcast as a preview for a longer article.Transcript: https://otter.ai/u/k3Y7S3Hoa0rPZZ8_L5vTn4SNwGIImage: https://www.pexels.com/photo/cows-on-field-on-hill-in-mountain-landscape-8899447/
Our mini episode today is a short discussion of API delineation and abstractions for platform engineering. This was a short intro discussion, and it is especially interesting because platform is a major topic we will be exploring in the coming year. We highlight the challenges of finding the right abstraction points as well as building front end and back end automation.Transcript: https://otter.ai/u/5gzoEliQ5H7N5LnGSP6sdOFNjv8Image: https://www.pexels.com/photo/white-paper-rolls-on-white-table-7897470/
Today is a one on one discussion between me and Rocky Grover about infrastructure, infrastructure patterns, AI, and how all of these systems connect. We think deeply about what it takes to design great systems and cover a ton of ground to connect it all back together into systems design. Rocky has a lot of depth of experience here.Transcript: https://otter.ai/u/EYgaZUm5s36KYrUhDIwcXTkLHcAImage: https://www.pexels.com/photo/bird-blue-zoo-large-52549/
Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing. The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the data control plane, as part of the data so that all of the systems can participate in it. We also talk about data mesh a lot in that context.Transcript: https://otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4Image: https://www.pexels.com/photo/pensive-ethnic-man-listening-to-answer-in-paper-cup-phone-3760607/
If you love data and data context formats for exchanging data, you will love this conversation. Today’s episode is a deep conversation about the potential ability to define ways in which we produce, store and share data, providing context using markup languages, and then being able to extend that. It’s a fascinating conversation about how much we could improve our use of data if we were able to provide more context about who wanted to see it and what relevance it had. We also have some interesting conversations about data migration and how we share information.Transcript: https://otter.ai/u/S9_tibMGhkoajG0bP8LaciJ32YsImage: https://www.pexels.com/photo/a-grayscale-of-a-man-making-a-frame-with-his-hand-10839215/
Today we talk about backstage.io, and we have that conversation centered around a demo done by one of the RackN and interns, Zander Franks. Check out the demo video here: https://youtu.be/cAQQOmKz4OIZander has been exploring with the backstage to Digital Rebar integration, and the conversation that results explains backstage in some fundamental ways and also what it takes to build good developer portals. You will find in this episode both the broader information about how to do integrations where you have a developer portal as a front end and the key insights about how backstage works. To get the most out of the backstage pieces, you will definitely want to see the video on Youtube. Take time to enjoy this whole podcast, both in video and audio format.Transcript: https://otter.ai/u/xWx-q_ZvK4oX1sDJS09F1BsaZZIImage:https://www.pexels.com/photo/wood-fashion-man-people-5650782/
We discussed the implications of chat GPT for it and the industry. In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems are going to get built. We come to some very interesting conclusions. Transcript: https://otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzEImage: https://www.pexels.com/photo/surprised-young-woman-browsing-mobile-phone-3771127/
What is the architectural balance between learning curve, architecture, building things that can scale while acknowledging overhead, and the attitude of just get it done? Don't make my tools complex and let me be very productive quickly. If it doesn't scale, then we see this as an ongoing challenge. Two engineers from RackN led today’s discussion in which we really talked about the balance that we try to achieve at RackN as we design our product, with the understanding that, ultimately, scale really does matter. If users have trouble understanding how the product works, at first, that learning curve can push people away, so that they never actually get into the product. That’s where finding the right balance is absolutely essential to success.Transcript: https://otter.ai/u/DAfKcHVBAiOY5EuReW1krDYsqsoImage: https://www.pexels.com/photo/anonymous-woman-showing-sketch-of-trendy-stylish-outfit-7148032/
We do a 2022 retrospective slash 2023 prediction episode - a sort of end of the year classic for us, except our predictions and look ahead are different from most people's. We're looking at some broader trends around software, build materials, impact of GPT (which will be a future episode), edge Technology, cloud adoption, security, faults and failures.Not your garden variety look back look ahead type of show.Transcript: https://otter.ai/u/IzKlo7CAljPkSzmyV5qLy5kLPj0Image: https://www.pexels.com/photo/binocular-blue-sky-daylight-discovery-221538/
Platform engineering is a topic that seems to be generating a lot of interest going into 2023. It’s sure to be one of those things that enterprises spend a lot of time arguing about and telling each other that they're doing it wrong. In this podcast, we dissect why platform engineering seems to be so controversial, and what we can do to help make it more understandable. We break it down into DevOps components, team components, Dev components, operations components, and ultimately talk about long term trajectories of how all this stuff is going.Image:https://www.pexels.com/photo/person-skating-on-skateboard-ramp-1527241/Transcript: https://otter.ai/u/SAAMNdHZh9lEeHrBxwcWmUxuDhs
There’s a lot to the evolving world of web three, crypto, and distributed infrastructure blockchain, jump and distributed ledger. That environment has changed dramatically in the last several weeks with the crypto winter followed by the ft x implosion. It has really changed people's perception of the market, which is much broader than just crypto but yet they are very closely coupled. In this podcast, we're going to discuss what happened and what the ramifications are, why things like this do happen and how the industry around web three and smart contracts and various applications for this technology can or should pick up the pieces and continue.Image: https://www.pexels.com/photo/man-fixing-vehicle-engine-2244746/Transcript: https://otter.ai/u/Uh6G4B_NABZ6YO9jD0aORuOYrz0
How does the Kubernetes admission controller work, what are the failure modes and what do we need to guard against? Today, we discuss almost everything that you need to know to understand the admission controller process better and to think about it in a secure, robust and resilient way. I can't think of a better primer on today’s topic and Kubernetes architecture more generally, I am certain you will enjoy the discussion.Transcript: https://otter.ai/u/RG9oPvwRtpofwUfg0rXLMKdV50IImage: https://www.pexels.com/photo/selective-focus-photography-of-traffic-light-1616781/
How do we make social networks safe? Who we make them safe for is really important, and today we talked about making them safe for brands, advertisers and communities. These groups want to organize in technical and professional ways, not just to prevent harm for the users or the safety of the users from persecution. We drilled into Mastodon specifically as a haven for Twitter users and how the federated system that Mastodon uses could actually be a really fantastic commercial model for brands that want to go beyond advertising to focus on content generation and sharing.Transcript: https://otter.ai/u/1m_t3Bz0yaucmNe5MFm_ROfXv1kImage: https://www.pexels.com/photo/black-and-white-warning-sign-13727202/
We dig into the news of the day instead of a scheduled topic on today’s podcast. This news was about Twitter, and what is going on in the social media landscape.
We have a fantastic 2030 style conversation, not specifically about Twitter, or even its new owner, but social media and its needs, how people think about social media, what societal purpose it serves, and how we construct the back ends to support those systems.
We talked about alternative platforms and historical platforms, as well as objectives and benefits of a social media platform including content moderation and who pays for it.
A fascinating conversation for everybody who's consuming social media.
Transcript: https://otter.ai/u/yLpHcxsbpGojZgBuckid_TLT7JI Image: https://www.pexels.com/photo/green-grasshopper-on-grass-in-nature-7987527
Klaus and I go through what happened at the Kubecon North America event in Detroit. Specifically, lessons learned in watching how the community reacts to new technologies like CRDs, declarative programming, and cluster APIs.
We also discuss the health of the community and the operators and vendors who were involved.
We give our impressions and insight - this conversation deep dives into practical use and futures in Kubernetes.
Transcript: https://otter.ai/u/8sNj_ZMTbKuJxAhOZhlvLAckWhc Image: https://www.pexels.com/photo/elderly-man-and-woman-looking-outside-window-7551662/
Distributed ID is a web three concept of being able to use zero trust and identify users without having a central authority.
In this conversation, we talk about critical concepts like Open ID trust government actions, and how this could be influential and important in a web three and IoT context.
We really drill into how the system works, and I know you will enjoy the conversation
Transcript: https://otter.ai/u/X_5lffVEG0LUTgsyoDOx5sJDwYM Images: https://www.pexels.com/photo/person-putting-a-passport-on-bag-842961/
How does the moniker Supercloud apply to how cloud providers are changing over time? Specifically when facing market pressures, trying to lock in, get bigger and become essential. Today we discuss the changing nature of service providers, specifically cloud providers.
This topic has been coming up on Twitter, and I know you will find this conversation fascinating. It talks both about the hypothetical and very practical drivers behind concepts like supercloud.
Transcript: https://otter.ai/u/MjuLlkt2JO095bMgPHi-rqeaqi8 Image: https://www.pexels.com/photo/flying-airplane-in-the-sky-12846027/
How do Helm charts and operators interact with Kubernetes? Today we have a fascinating discussion about the interesting components of Kubernetes including Helm charts, admission controllers and things that are changing and being revised and updated.
We discuss potential topics in anticipation for Kubecon, and if you're at all interested in Kubernetes, whether you're attending the conference or not, you will find this to be a must follow list of topics related to Kubernetes.
Transcript: https://otter.ai/u/I9Fyk_wiGxwvtha_tESikR2Bj3U Image: https://www.pexels.com/photo/man-in-black-jacket-standing-in-front-of-red-and-blue-building-5615440/
What happens in the age of cloud scarcity, and are the major public clouds going to become our next OPEC, where they regulate and control prices to such a degree that they can float things up and down?
In doing that, does that mean that cloud computing has become a commodity that can be traded and bought from different providers with a marketplace? All of these questions and more are on our minds as we think about how the market for compute will evolve in the future. Is there a coming compute scarcity based on greenhouse gas or silicon limitations or the ability to generate power? All of these things could have major impacts on how we make choices to consume compute.
In our discussions, a lack of resources is not the driving factor that we see - it's more about the market power of providers.
Transcript: https://otter.ai/u/nHY8KLgcaNbu_hp6TJkKMOgMpFI Image: https://www.pexels.com/photo/fuel-dispenser-1563510/
Our discussion about development methodologies quickly turns into one about product management methodology.
Those things are interlinked, and we spend a lot of time talking about how product management and the influence on user and operational experience has been transformed by the forces of the market. We also discuss how difficult it is to then organize team development processes to fit these quickly evolving, targeted product delivery challenges.
It’s a fascinating conversation about just how interlinked our development process is to the way we consume products in general.
Transcript: https://otter.ai/u/_Kljix8Hom5nhuhMbkDISjOL6fM Image:https://www.pexels.com/photo/newlywed-couple-showing-each-other-tongue-12194401/
We talk about understanding analyst reports and engaging with analysts. How do analysts shape the industry and the industry shapes the analysts?
Today we discuss how every part of this ecosystem has to work together in order for us to build serviceable technology, because fundamentally, we count on the analysts to help understand what's ready, what the problems are, and what's working or not working in the enterprise.
It's easy to pitch stuff, it's much harder to use stuff and sell tech, and the analysts are a reasonable filter for that, and we break down how and why.
Transcript: https://otter.ai/u/A3BlbqbPObA1_2erEfKZsFPqURs Image: https://www.pexels.com/photo/a-person-holding-a-spoon-3889850/
Special guest Bill Mulligan (https://twitter.com/breakawaybilly/) talks to us about the use cases for BPF and how it works.
We discuss eBPF, the kernel extensions that allow you to write small programs that work inside of kernel space in a safe sandbox way. These have a lot of applications, and they’ve been creating a lot of hype inside of the Kubernetes community as a way to address networking shortfalls.
Our conversation starts broad, but eventually zeros in on eBPF. I know that you will learn a lot about how eBPF can enhance and improve your infrastructure operations environment.
Transcript: https://otter.ai/u/VhW6tKfPHD0yky63eDneQ3dIScQ Image: https://www.pexels.com/photo/cobblestones-in-a-sandpit-8180645/
How do you build, manage and fund your systems? Today's episode is about talent, staffing and hiring the right people to do the job for you.
How you make hiring decisions is inexorably linked to how you think about solving, funding, and structuring solutions around those problems. You cannot hire people without also having straightforward answers for those questions.
We have a fantastic conversation about staffing, that we find to actually be about building the foundations for your hiring.
Transcript: https://otter.ai/u/DPCdAh4CiJPXOQss2WpX2INysfA Image: https://www.pexels.com/photo/cute-girls-in-halloween-costumes-standing-outside-modern-house-5859723/
How do we help junior people build the right skills to do advanced automation system administration, and actually build systems that are resilient and robust? Then, after understanding that that is a learned skill that's predominantly learned by doing the work, troubleshooting.
We started the conversation talking through how to teach troubleshooting and find opportunities for that. But we transformed the discussion into the challenge of teaching people skills that they then walk away with, that, as you're mentoring people, you're increasing their value, and potentially giving them the keys to leave and find a better job.
We talked about this as an industry trend, and some expectations on what you can do about it, and how you can approach that situation. Overall a very robust conversation about building great teams, through junior engineers, and what it takes to be thorough and complete in a process like that. Both from what you can do, and what you have to watch out for.
Transcript: https://otter.ai/u/cOP6v9HEYv6_YVrrRwA_sxjvNaQ Image:https://www.pexels.com/photo/a-girl-using-binoculars-9290029/
VMware Explore is a show at the end of August where VMware brings together its community, its vendors and tells what's going on. VMware is dominating in their market, they are making the right moves, and doing a good job for their customers and their partners. This is a surprising summary of the conversation, because this conclusion is certainly not where we started out.
In this conversation, we start from the position of VMware not doing what it needs to do. It's fumbling its message, it's not doing the right things. Then we talk through all of the things that contribute to VMware’s position in the market.
If you listen through, the conversation follows a fascinating path to our concluding position.
Transcript: https://otter.ai/u/NO-lHxp4EfDy9cmyP8Yr-dayi9Q Image: https://www.pexels.com/photo/man-in-brown-leather-jacket-using-binoculars-3811807/
How do you build effective, productive platform teams? What should their mission be, and what type of tools and dangers do they have?
We start by questioning if there are such things as platform teams and their roles, as well as how they can go awry in modern organizations.
At the end, we recognize that they do and can provide a very important role. In this conversation, you will learn the right ways to form a platform.
Transcript: https://otter.ai/u/Kf-Hi9H6bTmhufavGaa1ae9w_R4 Image: https://www.pexels.com/photo/man-beside-woman-in-train-1970830/
How do supply chain, ecologic, capital, and political issues limit our ability to continue to build big data centers? Today we expand on this continued conversation.
We're already seeing this in the news, and we need to rethink how we are building a lot of the core infrastructure we depend on. That includes power, data centers, networking and connectivity. Potentially even human logic, which we get into.
The purpose of this conversation was to look at the bigger picture, and then pull it back into how we build IT systems.
Transcript: https://otter.ai/u/herJl7zHewHfDIIEhdI_tdUewA8 Image: https://www.pexels.com/photo/white-paper-cup-on-top-of-gray-marble-surface-1101124/
How do we build advanced innovative products and companies? We discuss the Chips act and global supply chain of silicon and manufacturing in today’s episode.
We took that apart into its component parts: supply chains, raw materials, power, whether talent, real estate, and put it back together in ways that look forward towards how we think these forces and global politics are going to shape manufacturing for the next decade.
Absolutely fascinating and critical discussion that will impact every single person's health, their careers, and frankly, what they can buy on the store shelves.
Transcript: https://otter.ai/u/JPNiGOfYD8WZzyqGcbQ9y4biN5k Image: https://www.pexels.com/photo/closed-up-photo-of-black-dell-central-processing-unit-1432680/
When working with orchestration in automated systems, how do you find the right balance between things that are event driven and things that are workflow driven, or more linear?
We go through some of the history of where we went from linear orchestration (Ansible) to timed orchestration (Chef or Puppet). We also discussed SaltStack, which had an event driven system into it, but didn't gain the traction that we might have expected as we look at the amount of orchestration systems that are now coming to light.
In this conversation, we address the balance between when you orchestrate and when you want to do workflow and linear transactions, and how to find that sweet spot.
One of the things that we've determined is, there aren't a lot of tools that hit that sweet spot. And I think if you listen carefully, you'll see why.
Transcript: https://otter.ai/u/ynb8KndfUhKsTvQG6965ktepv-Y Image: https://www.pexels.com/photo/a-choir-singing-while-holding-a-flower-7569413/
How can we structure incentives to build strong, resilient infrastructure? Today we talk about power infrastructure.
There are a lot of commercial incentives for internet providers and for consumers to have good internet, but there aren't the same incentives for consumers to have reliable power systems. We're seeing a rash of failures and faults in the grid.
In this conversation, we talk about storage systems and resilience of the grid, not by putting more wires in the ground but by actually creating incentives for people to have independent supplies, and independent sources of generation that can support them.
Image: https://www.pexels.com/photo/orange-battery-on-white-surface-7012272/ Transcript: https://otter.ai/u/DENsKVB5VibrKpDCLAjoFj4Jrqs
We continue our hiring advice series in this episode. It's a really powerful thing to have people who have established careers, think about what would have made a difference, think about what is important when we work with and mentor inexperienced and junior people who are building a career.
This episode is full of thoughtful advice on how to build subject matter expertise, and the ephemeral qualities that make somebody a good leader or a good worker, or what we were calling an executive function.
If you are building your career, or helping mentor people who are building a career, you will get a lot out of this.
PART 1: https://the2030.cloud/2022/06/19/the-career-advice-we-wish-wed-gotten/
Image: https://www.pexels.com/photo/person-s-hand-touching-wall-626163/ Transcript: https://otter.ai/u/t2JEhT0XXcbPvDVuDM-OTRP_G84
What are the challenges of interconnectedness and transparency, specifically concerning Kubernetes and cloud native applications?
We have a fascinating discussion sparked by the question of how exposed we are. What happens when something we don't know is connected is open and exposed as hackable? What happens when it closes, and we didn't know?
We talked about how this is inherent in the architecture of cloud native applications and what you can do about it.
This discussion should get you thinking about how to architect not just your applications, but the platforms that you need to connect together to make them work.
Transcript: https://otter.ai/u/6m6yPHG7cV_lrmdOEPGyHmo1ifM Image: https://www.pexels.com/photo/men-pulling-on-a-rope-7678454/
How do you moderate content, and why? What is important to enforce and what are we thinking about?
We talk content moderation all the way to the point of open source licenses for different rules of engagement depending on the space you are in. How we got there is fascinating and important.
Transcript: https://otter.ai/u/UK3qGMyAc4EqSjHzeUwOW3MbgI0 Image: https://www.pexels.com/photo/police-fun-funny-uniform-33598/
How do you build GitOps, infrastructure and systems relying on events and monitoring, when you need to revert to a polling loop, or augment a polling loop with an event system?
Today, we drill into concrete technical details about events and monitoring. We also suggest practical functional advice on how Git Ops works, how systems work, and how you can build a resilient system.
Stick around for a bonus at the end of the discussion, where we talk a little bit about complexity!
Image: https://www.pexels.com/photo/green-and-black-coffee-mug-on-air-905905/ Transcript: https://otter.ai/u/udK3y3upQMszo2IVtbrdGigmehE
How do we handle distributing identity? DID stands for distributed identifiers, and today we talk about Web3 as well as distributing identity.
Distributing identity is not just about people and personal identity, but also about things and how we identify and track different things in a distributed way without a centralized infrastructure. That's fundamental to what Web3 is talking about.
How do we break down the centralization that we have been building over the last 15 years of what Web3 people call Web2, and look at ways to do it in a decentralized way where the trust is between the parties involved? Where it's set up in a way that you don't have to have a centralized trust authority.
We spend a lot of time talking about this, what the spec is, what it means, and looking at it in a broader context.
Transcript: https://otter.ai/u/lT1uCvM01HxlhROTlGBkq2U1toU Image: https://www.pexels.com/photo/two-book-on-woman-head-1215714/
Human factors make governance as code a challenge - today we discuss why looking at things like audit and how we determine what has happened and respond to it in an automated way, may be a great first step to adding controls into a system.
We talk about a lot of human factors of what makes it hard to create a governance system, or what creates a biased system or an unevenly governed system.
We spent the first couple minutes of this podcast talking about our agenda, and those conversations spell out a lot of interesting topics that we will discuss. So hang in for those first couple of minutes, and then we will get straight to the governance.
Transcript: https://otter.ai/u/aqx5-wivDgPARqAXwXGCIm-bO5U Image: https://www.pexels.com/photo/belgium-flag-on-top-of-the-building-532864/
How do we use chaos monkeys in real life, and practically? This happens all the time when we have failures. The Rogers failure that took out the internet and cell phone use in Canada last week was the start of our discussion.
Predicting how things are going to go out is a common theme for chaos monkeys, and really comes back to how we test infrastructure. Should we be putting it under stress in planned ways like Chaos Monkey, in order to ensure that our increasingly internet and power dependent society is prepared for the inevitable outages?
We have a really fascinating discussion about what it would take to make this type of practice real, including alternatives that people can look at today.
Transcript: https://otter.ai/u/D0ZV5c3ikvAiinsK7ugf_duCjv8 Image: https://www.pexels.com/photo/monkey-sitting-on-a-fence-and-looking-at-its-hands-11999152/
Today, we sat down and talked about current events and how things are going. We don't need to have an agenda to have a really interesting conversation, and that is exactly what happens!
We start with some current events, the Rogers outage, Elon Musk, Twitter, GDPR, and the Jim's West space telescope. Then we put those things together into common threads about automation, autonomous cars and how society interacts with these things.
If you're looking for deep tech, this is not your podcast. Otherwise, enjoy listening to this casual conversation!
Transcript: https://otter.ai/u/9ZNfCBMTueZw1ZOTJHY_e3DeZkQ Image: https://www.pexels.com/photo/unrecognizable-fisher-in-boat-on-lake-under-net-at-sundown-6711114/
How do we manage complexity? Today we discuss sources of complexity and explore design rules. We also talk about how you think about the systems that you're building in ways that allow them to handle complexity gracefully.
The simple answer is to have people who are good at thinking about complex systems. Part of that is experience in looking at complex systems, seeing how they operate and being ready to deal with that type of thing like training pilots.
How we get to that insight is really significant, and it impacts how you build teams and systems. In addition to how you build systems that defend themselves that are naturally complex, but have the right defense mechanisms to make them more stable over the long term.
Transcript: https://otter.ai/u/f2t7gZfQhzG1Dgeg5ePwFHZOTmw Image: https://www.pexels.com/photo/colorful-funny-kites-flying-in-sky-in-urban-environment-3872003/
What makes people interested in new tech versus the stable, boring, things that keep the lights on work?
It feels to me as if we're in the phase of development where we start saying, I need to make sure this all works. I've followed all the cool stuff, now I need to make sure everything's working and get my ROI out.
This conversation questions that assumption, talks about why we care, what we're really trying to accomplish, and digs into what is boring and what is sexy? And what makes them different.
Transcript: https://otter.ai/u/vt5nB06XGD5pcXhAAjylwtFlS4U Image: https://www.pexels.com/photo/woman-in-black-shirt-sitting-on-blue-chair-4842498/
We continue our Governance as Code discussions in today's episode.
We started by very broadly looking at Governance as Code generally, but quickly drilled down into Infrastructure as Code meets Governance as Code focused discussion. Understanding that intersection is critical to building something that is both automated and governable.
The topic explored how we audit controls for systems. We also need to make sure that when we build infrastructure, it's following our policies. The challenge here is making sure that what we've automated is conforming to our governance.
Image: https://www.pexels.com/photo/group-of-people-in-building-structure-2100942/ Transcript: https://otter.ai/u/-vI03TkWcLpvTIBRrrKE9DugYvw
Can we use DLT and cryptocurrencies for microtransactions? Today we break this down into component parts like what is a microtransaction? How does crypto help us? Does crypto help us?
In Cloud2030 discussions, we break things down. We explore how it helps, what it helps, what problems it does or doesn't solve, and what problems does it create?
In this conversation we find some intriguing questions, and a few answers too towards the end. It’s a very enlightening conversation about microtransactions, DLT and crypto.
Image: https://www.pexels.com/photo/miniature-car-and-a-human-figurine-10215975/ Transcript: https://otter.ai/u/z-osMhCB8Qe0bf040WRzJAjuDCM
How can we make Open Source go faster, and how can we improve its interaction with vendors, especially hardware vendors?
We explore different ways that open source helps foster innovation, as well as where it creates ethical, financial, and legal conflicts in that process.
Thinking through how we want to bring vendor information into Open Source communities is an ongoing challenge.
Transcript: https://otter.ai/u/gTvOzZXkvWfYPOkVSvkAbJRrIB4 Image: https://www.pexels.com/photo/closed-blue-and-red-wooden-doors-350626/
We started with a question in our warm up that was so motivating and exciting for the group that we continue talking about it the entire time!
In today’s episode, we discuss career advice, as the group looks back on things that would have helped them at the beginning of their career.
We have a fantastic conversation full of details, stories, and sage advice. Even if you are well on your way in your career, you will get a lot out of the conversation.
Image: https://www.pexels.com/photo/woman-in-blue-dress-shirt-wearing-black-framed-eyeglasses-4101202/ Transcript: https://otter.ai/u/EyewEdhYLhxKkJNo2qKlVJq8-tE
We conceptualize data centers as core infrastructure components in today’s discussion about green infrastructure.
In our discussion about data centers as an industrial load that have peaks and valleys in demand, we dive into the grid as a connected system. We discuss how storage can disrupt the way power is generated and distributed, not only in the United States, but also around the world.
Distribution systems play a huge role in green infrastructure, just like networks. The way we assume that networks are available and robust, we have made the same assumption about power generation in the world to run these data centers.
These topics are all tied together, and you will see a lot of insights and similarities in how we solve and build green infrastructure.
Transcript: https://otter.ai/u/3W7DIwICzz1fhNR4MofvJvAzOGI Image: https://www.pexels.com/photo/utility-tower-2402438/
What makes Open Source projects work? Today we discuss open source business models, motivations, what and how these projects work.
We moved from that into testing quality maintenance and ultimately SpaceX and Tesla. This conversation dives into how Elon Musk is transforming the industries that he's in by looking at the delivery process.
Transcript: https://otter.ai/u/MuWt-gSkzOnUjFz8ioI3dNtAsa8 Image: https://www.pexels.com/photo/falcon-9-hangar-lights-machines-60130/
How do you manage complexity? Something we talk about a lot in Cloud2030 is how challenging it is to understand complexity, measure it and cope with it.
Richard Cooke wrote a paper called “How Complex Systems Fail,” (http://how.complexsystems.fail) and in it he talks about complex systems having strong defense mechanisms against failure. That’s what we talked about today. How do we build defense mechanisms for complex systems, not by making them simpler, but by exercising them and testing them?
We discuss the importance of testing, validation, and layer of abstraction and testing the layers in this conversation. If you deal with complex systems, this discussion will be fascinating and actionable.
Transcript: https://otter.ai/u/SP-z7OAJWAmJlql8Dh62rNk2hlo Image: https://www.pexels.com/photo/man-woman-morning-young-4058411/
How is data center infrastructure adapted to edge distributed ledger technology workloads?
We think through if those demands (blockchain, proof-of-stake coins, etc) are changing the way we look at data center infrastructure, and the short answer is yes. We also explore the impacts of the type of workloads that we're running and how we distribute them, rather than the type of equipment that we need to buy.
This conversation quickly becomes one about what we want to do with our infrastructure, not what the infrastructure is.
Transcript: https://otter.ai/u/KcT3ZF8ELbg5M3FrZmTSL7ycpX8 Image: https://www.pexels.com/photo/vehicle-on-the-road-3593923/
What kind of orchestration systems does the industry use for infrastructure, automation and controlling day to day operations?
In today’s episode, we talk about infrastructure pipelines at the tooling level, and specifically the use of Jenkins and other CI pipelining tools for ops and orchestration. We dig into why and how you would do this, and what pieces are missing from the system. That conversation leads us into larger day to day challenges.
If you are doing infrastructure ops and DevOps automation, you will get a lot out of this session.
Transcript: https://otter.ai/u/dbTdHdYTIt5bU1G8SFghKSijhU0 Image: https://www.pexels.com/photo/barista-with-red-beard-with-pigtail-and-tattoo-6205639/
What is the intersection between augmented and virtual reality?
In today’s episode, we discuss changes in payment systems, Metaverse, NFTs and micro payments. All of which have to do with PCI and how we handle process payments.
We had a fascinating conversation about how all of these technologies intersect, and how one can drive another.
Transcript: https://otter.ai/u/Jbj52Opa37Vwmci1myBC7LsSXtY Image: https://www.pexels.com/photo/selective-focus-photography-of-bears-reading-book-figurine-362685/
What type of speech can we control, allow and amplify? Today's episode was about content moderation in social media. The issues here are nuanced, but absolutely critical for our functioning society to get right.
We discuss various interlocking issues, including what type of feedback loops we are creating and what the historical precedents for building safe systems are.
Transcript: https://otter.ai/u/197TTpOUZd8p2Y6RzDGltLq13i4 Image: https://www.pexels.com/photo/man-wearing-brown-suit-jacket-mocking-on-white-telephone-1587014/
Our discussion about governance as code today is one of a series that we're going to be starting. In today’s episode, we started out discussing what is Governance as Code. Then we dug into identity and how important it is to know who is doing what in a governance process.
Special Guest: Kapil Thangavelu https://twitter.com/kapilvt
Along the way, we touch on topics such as Infrastructure as Code, trust, logging, and audit - all essential components for governance.
If this is your first time hearing about Governance as Code, you will learn a lot here. Even if you already know the topic, the back half of today’s podcast poses some fantastic conversations and questions.
Transcript: https://otter.ai/u/X5xXz3Gw0ot23jFsccZr_k9w-D4 Image: https://www.pexels.com/photo/gray-airplane-control-panel-3402846/
What’s going on with green data centers, why does it matter, and how do we think about it in a wider context? In this short conversation, we discuss green data centers and creating carbon neutral infrastructure.
This isn't just about servers using electrons - the actual conversation about making our infrastructure carbon neutral includes thinking about all of the components that go into our infrastructure.
We also have an upcoming series of conversations on green data centers and carbon neutral infrastructure.
Transcript: https://otter.ai/u/IYsPlr4r570MmOOW3WWLjenDlWk Image: https://www.pexels.com/photo/clear-light-bulb-planter-on-gray-rock-1108572/
How do authorization systems need to be built and made resilient for distributed infrastructure? We discuss how having a single centralized authorization system is incredibly fragile compared to distributed edge infrastructure.
Everything we build has some element of distributed component tree and resiliency in it, and we need to make sure that the authorization systems are included in that analysis.
We explored how you can make MFA more resilient and how you can improve the security of authentication by building additional layers of trust based on behaviors.
Transcript: https://otter.ai/u/KTg3WSqSKuswLIypoBwD4HyMzcA Image: https://www.pexels.com/photo/hand-holding-a-key-with-a-usb-flash-drive-5474298/
How can promotion boards be hostile or hurtful to open source technology? We talk about the dynamics of corporate support in open source technology, and if being rewarded for internal work at companies translates into challenges for open source technology.
This discussion starts to peel apart what makes open source technology sustainable, and what it works for. We bring up an analogy of a lava lamp where things heat up and then cool down as part of a natural cycle, which can be a normal cycle for all software, and that led us back to how promotion boards work.
We covered a lot of ground through the dynamics of corporate software governance and open source and interweaving those together.
Transcript: https://otter.ai/u/nZS6rtcam88JUuqMctOiEyWq5G4 Image: https://www.pexels.com/photo/food-cold-drink-glass-5677999/
What makes API's complex? In this episode, we talk about how we compose APIs into higher level systems, and how we think about the design elements that go into building durable, reusable API's.
This is a classic topic for us, and in this discussion we looked beyond the API itself and started talking about the state of the system and how you manage that state.
Transcript: https://otter.ai/u/Oae5e_ay0d_l48TmWk3PO3lpIDU Image: https://www.pexels.com/photo/a-nacho-chips-in-a-dipping-sauce-5848731/
Will Elon Musk take over Twitter? What are the tech and societal motivations for creating distributed social media?
In today’s episode, we discuss the future of social media and if we can create distributed social media and distributed user interactions. We also question how these systems could be monetized and controlled, and who would benefit from those changes.
This is a fascinating discussion about how we will build human interaction in the future.
Transcript: https://otter.ai/u/J2B4oRO5WTohJI1KqqNobfyZsdE Images: https://www.pexels.com/photo/a-group-of-boys-touching-a-spaceship-made-of-aluminum-foil-7105799/
How does Kubernetes create lock in versus how could Kubernetes be used to prevent lock in?
Lock in is not always a bad thing. When you avoid committing to a single vendor, you may have to work to the lowest common denominator or deal with heterogeneity in your infrastructure. Heterogeneity is pretty normal, and you might have to do this work regardless, but when you commit to a vendor you get to focus on using the vendor’s strengths.
In this episode, you’ll pick up some great tips on how to reduce your lock in when using Kubernetes.
Transcript: https://otter.ai/u/vIo1p15bb6VmcrWjwgOLbM25nq4 Image: https://www.pexels.com/photo/silhouette-photo-of-person-holding-door-knob-792032/
Building reliable automation at scale for infrastructure presents challenges. In this episode, we discuss orchestration, workflow automation, and the reconciler pattern in the context of Terraform.
We refer to the pattern of Terraform, automation, and orchestration systems as “TACOS” and today we dig into how you test it and check it against drift. These are real topics of operational concern for anybody building any type of infrastructure.
Transcript: https://otter.ai/u/w-NA0HBsTc5NRaqWQQwlWUj4Whw Image: https://www.pexels.com/photo/person-holding-red-round-plate-with-food-8448079/
How are Metaverse environments built? Today we talk about how we use intellectual property to build these Metaverse environments, and who has access to what and who's going to create it. That turns into a discussion on how you're going to pay for it.
Typically, Metaverse is framed as a platform, but we got interested in the content, media wars, and streaming platforms. Since we started the conversation at streaming media, that led us to payment platforms and transactions. It was fascinating that we couldn't talk about intellectual property without also talking about payment and purchase transactions.
Transcript: https://otter.ai/u/Be5ZKdeQvvubwQhCFzhFAHTdtak Image: https://www.pexels.com/photo/girl-wearing-vr-box-driving-bicycle-during-golden-hour-166055/
What makes Everything as Code and Infrastructure as Code interesting? In today’s episode, we discuss what makes something code-like and the idea of Everything as Code, based on Patrick Dubois’ article “In depth research and trends analyzed from 50+ different concepts as code.”
Reference: https://www.jedi.be/blog/2022/02/23/trends-and-inventory-of-50-as-code-concepts/
Some of our conclusions were practical, like if a concept is a process that is reproducible and auditable, that's what makes it code-like. And some other possible conclusions were that it's just marketing because it makes everything programmable. The reality is somewhere in the middle.
Transcript: https://otter.ai/u/E1TezO2XutwJyS-vCNetslwWO4A Image: https://www.pexels.com/photo/man-in-grey-sweater-holding-yellow-sticky-note-879109/
Organizations take a risk when they get locked into a vendor. In today’s episode, we talk a lot about the risks of lock in, both in general and in the context of Oracle.
That discussion takes us into a question of insurance, and if insurance policies could ultimately drive people to reduce lock in exposure. This was a fascinating discussion, not only about lock in but about what would drive organizations to fix their lock in problems.
Transcript: https://otter.ai/u/zJf0WMUwJgamk7IpscHCsL2vsV4 Image: https://www.pexels.com/photo/closed-white-door-3119977/
A Goldilocks' balance challenges us to trade off prescriptive and flexible platforms. James Urquhart shares his experiences with Cloud Foundry, VMware, and Amazon about trying to find the right balance between building it yourself versus a prescriptive service approach.
We’ve decided that there needs to be a middle zone with enough opportunity for customization, as well as enough pre-set, prescriptive methods to create sustainability.
In this episode, we talk about that balance and how different processes have done it in industry.
Transcript: https://otter.ai/u/OQBfCHldtYjUpqjKdkN3KjzLiR0 Image: https://www.pexels.com/photo/brown-teddy-bear-on-brown-wooden-bench-outside-207891/
The Okta hack highlights the value versus complexity trade off. In today’s episode, we ask if the complexity of using single sign on is the right move in this context. We also think about how to deal with these interconnected systems that have high degrees of complexity.
We also discussed API design, and whether or not we should have more rigid or flexible APIs. You can’t remove complexity from the system, but you can hide it. The structure of APIs will push complexity into either the users’ realm or the operators’ realm.
Transcript: https://otter.ai/u/cftY6wlMTzAceT2EiHF4u4u0dpE Image: https://www.pexels.com/photo/photo-of-an-elderly-woman-flaunting-money-7884134/
Making automation safe is essential to making it usable at scale. How do we make automation safe? We found a lot of great insights drawing from space craft design, aircraft, aircraft design and other systems where safety is super important.
Automation is a force multiplier. If we don't factor in safety when we build it,then we could create a lot of harm in systems from wasteful spending to actual injury. These designs have very real implications.
Transcript: https://otter.ai/u/p9w4aKOqm3rpHhbDtRTaLgN3GIA Image: https://www.pexels.com/photo/toddler-using-scooter-on-road-1642055/
Majors versus minors are enterprise data centers versus blockchain, bitcoin and distributed ledger data centers. We dive into the differences in processing and environmental requirements for those two different use cases.
While the idea of blockchain and distributed ledgers generate very different computational profiles, what we're building keeps coming back to the design of a data center is design of a data center. The exception is proof of work like Bitcoin. In those cases, it's really just how many CPUs you can run.
For this episode, we focus on proof of stake data center infrastructure. This podcast is helpful to understand the difference between proof of work and proof of state. There's clear consensus on the call that that proof of work is not environmentally sustainable. So proof of stake is much more interesting.
Transcript: https://otter.ai/u/uuPJSF_nWeDLF64lZlsGLOY8JWw Image: https://www.pexels.com/photo/man-holding-shovel-3285094/
GitOps is a really important way of collaborating and communicating about infrastructure.
But can GitOps escape from Kubernetes? While we did talk about Kubernetes too, we mainly talked about what it takes to implement GitOps outside of Kubernetes. We considered building a GitOps architecture and then having people understand and use it. We also cover the fundamental parts of GitOps like having a reconciler and a bunch of tools that drive clusters.
Transcript: https://otter.ai/u/oq4D06Sd_rtUvXBVXC0Wx3KA2sQ Image: https://www.pexels.com/photo/people-with-mixed-reactions-sitting-with-buckets-of-popcorns-7234318/
What resources does the Metaverse require? In this episode, we think of the metaverse as a distributed environment and ask if it could be owned by the people who are hosting the environments instead of centralized.
One of the complicating factors is figuring out if the Metaverse is AR, VR, augmented or virtual systems. Consensus was that the augmented reality (AR) version of the Metaverse is probably the most valuable and the most accessible for building these systems out. But we kept mixing physical assets and intellectual property assets: the virtual furniture, environments, decorations and things that you would actually put in the virtual environment. While the infrastructure and software that will run the Metaverse is more necessary, the real estate is also interesting.
Stay tuned for a bonus at 48 minutes where we had a good discussion about testing products and giving product feedback as a service
Transcript: https://otter.ai/u/OhEqaGrH4S2Y9ywpTKVgrhhAn0Y Image: https://www.pexels.com/photo/room-chair-lot-356065/
Today's discussion was about distributed ledger technology (DLT), also known as blockchain and the technology behind Bitcoin. We had a balanced discussion: some people who were excited about the technology and others who were skeptical. That interplay really created one of the best conversations I've heard about DLT and its applications
Throughout the conversation, we tested each other and we came back to basics. We didn't assume that blockchain was good because it was new, or that organizations like Banks or Ticket Sellers were bad. That neutrality really plays out by helping us consider how DLT can actually benefit people.
Transcript: https://otter.ai/u/iox4ywvekE-3zWDDWyAPFkUGJtA Photo: https://www.pexels.com/photo/toasted-bread-beside-french-fries-1437568/
Today's episode is about measuring complexity. Complexity is a topic that we cover a lot. And in this case, we really went past the idea that we could measure complexity, and into looking at the causes and costs of complexity.
We had a remarkable conversation about what it means to say something's too complex? What are the consequences of complexity? And what should we do about them? Ultimately, it’s about how how we measure the cost or the risk of complexity?
In the end, we are reframing complexity in business terms and human terms. That is the important approach to looking at complexity.
Transcript: https://otter.ai/u/qOBFHwMfUd0ELCnnD63AXcTLe9I Photo: https://www.pexels.com/photo/colorful-threads-on-spools-scattered-on-floor-5723513/
Today's episode is about Web3. By now hopefully you've heard of Web3, but… what is Web3 really!?!
That's exactly what this conversation is about! We really talked about how Web3 is more than tech bros marketing Bitcoin. There actually are real legitimate business interests around Web3. Uses like breaking transaction log jams when a small number of providers are actually controlling and running the internet. Or looking at ways to decentralize infrastructure and remove bottlenecks within transactions flows.
You will be surprised at how much of the evolution of the Internet is captured in what Web3 could be.
Transcript: https://otter.ai/u/j9LW8BlgtDoCMw5JyweGiyGIS5o Photo: https://www.pexels.com/photo/three-gray-and-white-xbox-controller-2106215/
We went beyond what the Continuous Delivery Foundation is doing to talk about how to scale Continuous Delivery. Especially around the continuous reconciler pattern.
So what does CD take beyond committing something in git? To make scalable continuous delivery systems and cross team continuous delivery systems means building things beyond GitOps that really scale and work for enterprise teams. The use cases are not just cloud native technologies, but really useful for established enterprise tech too.
Transcript: https://otter.ai/u/JkTWNWtaaUEOHrd-bdHIP3rsmO8 Photo: https://www.pexels.com/photo/man-wearing-a-face-mask-putting-food-on-a-thermal-bag-4393667/
This discussion is about the infrastructure behind augmented reality. We really dive into how augmented reality will take place in our environment. And the spoiler is it AR is already here!
We are actually building augmented reality systems everywhere and they're showing up in our daily lives. The group believes very strongly that the automotive space is already leading AR for a whole bunch of reasons, including ease, progress so far, and profit motives.
We also talked about why it's so hard to build the networks of infrastructure that need to be consumed or make augmented reality so much easier.
Transcript: https://otter.ai/u/1k7WpYtdpzpNVlf6FDzU_u7nIy8 Image: https://www.pexels.com/photo/woman-playing-a-virtual-reality-game-6498965/
How should we think about migrating legacy workloads to new infrastructure and modernize them?
The group addresses this question methodically incuding how databases get linked, how they get used, how they get migrated, how important it is to maintain languages and what it would take to migrate in language. In the end, we look back on that conversation apply lessons learned to what we are building today,
This is absolutely essential because new designs will become tomorrow's legacy! We'll be struggling to migrate those in 10 or 15 years too. So everything we can learn helps prevent that cycle.
Transcript: https://otter.ai/u/sHB8507KjZlZPBMToBUCEKjPVQY Photo: https://www.pexels.com/photo/man-and-woman-climbing-a-mountainside-8968077/
We seem to be very worried about complexity in technology, but how bad is it really? Do we have a way of measuring complexity? Figuring out how to actually quantify it could help eliminate and manage it.
We started by discussing mathematical concepts to capture the systemic nature of complexity. That turns out to be really hard, so we got into some really interesting thoughts about what it takes to manage and understand complexity. Is it even possible to measure complexity? The group is mixed.
Transcript: https://otter.ai/u/qWkkgyKCXX89jcirBdni9ExkOq8 Photo: https://www.pexels.com/photo/random-objects-piled-up-for-balance-9304725/
We know that humans have trouble keeping systems updated, but… how can we address the challenge of knowing which updates are required and, critically, if the updates with break other systems? Even knowing if they worked is a really thorny problem!
In this episode, we focus on actions about what’s going on and why this problem has persisted in industry for so long. Starting from the news of the day about CentOS 8 mirrors being taken down. That’s exactly the type of challenge we are facing when we think about where updates and repos are coming from.
Transcript: https://otter.ai/u/rRMIT6kkTTtyWrzdBnuq63nvKuE Photo: https://www.pexels.com/photo/a-man-using-an-eye-examination-equipment-5996696/
This discussion sifts into tactical concerns for containers in the near term. We've gotten far with containers and Kubernetes. But what about process controls that we need to wrap around containers?
We talked through how we need to be thinking about containers now that we have good control surfaces around them to make things work. If you were using containers and Kubernetes, this podcast will certainly inform your thinking.
Transcript: https://otter.ai/u/NKNuTQQCXGXbVrZq_4pHazt4sZA Image: https://www.pexels.com/photo/person-holding-canned-beans-9902268/
We talk about software licensing in open source, and what it means to the broader market. In fact, we cover how it's changing what the market actually is!
This is not not just open source licensing in general because at the end we didn't care about the license. We are more concerned about utility, serviceability and operability of the products we use. We need to understand whether or not we can rely on them!
In short, the supply chain of the software was much more important than the licenses of the software
Transcript: https://otter.ai/u/kH-vbVxoymH9GGdNEi3jvF07c5s Image: https://www.pexels.com/photo/gray-planes-right-wing-with-view-of-snow-covered-mountains-view-from-window-127441/
We discussed the intersection of serverless and digital twinning. These two concepts are really tightly intermingled!
We discarded the idea of a central single serverless hub managing everything; instead, we think sites would actually have a mesh of serverless, interconnected event processing and stream processing systems. This approach is much more function dependent, but really opens up a lot of interesting discussions and possibilities.
We also discussed how to manage all of this meshed, serverless subscription modeling eventing, and digital twinning.
Transcript: https://otter.ai/u/FWW3CwG6gMX0N06QXp9C-pZd-s8 Image: https://www.pexels.com/photo/two-young-girls-together-in-one-gray-hoodie-sweater-9532902/
We have a lot of questions about improving collaboration in organizations: How do we deal with change in organizations How can we get organizations to work together better? How do we encourage collaboration around the automation spaces that we're trying to build in DevOps.
In our discussion, a lot came back to something as simple as version control!
We also discuss how we handle coupling between systems. In order to collaborate, we have to couple systems. But if we couple them, we create complexity.
This podcast includes our warm up conversation about Microsoft acquiring Activision because that is ALSO about how you integrate to organizations and business plans! This was news of the day and I think you'll be very interested in our take on it.
Transcript: https://otter.ai/u/itNrmoL9MgG980D8CZdo9XWd-xI Image: https://www.pexels.com/photo/a-woman-playing-colored-powders-with-kids-7176471/
We started talking about blockchain and the edge, but that is not where it ended up at all! Our fascinating journey started with web3, and surprisingly, it’s potential for distributed infrastructure and distributed web.
That led us to edge: managing and trusting devices on the edge through distributed ledger (DLT). That led us to the distributed ledger landscape. The journey is important because some of these technologies will be essential for establishing trust in systems.
In this conversation, we walk through the progression of these very important topics.
See also: https://dltlandscape.org/
What is a “green datacenter?” Can we make the IT infrastructure we use more environmentally sound?
Maybe, but… it's a challenging problem because fundamentally running servers uses power.
We went into how data centers use power with an eye to making them more efficient. But that’s only part of the story. We discussed ways to incent people to give up resources, CPU cycles, and idle servers. Those are the items that really help with savings.
Ultimately, building a next generation infrastructure is more about the behaviors of the users as the efficiency of the equipment. In that case, what's holding us back?
Transcript: https://otter.ai/u/RbDO1zLmb3JbEcmm6bsw6pihvQE Photo: https://www.pexels.com/photo/three-brown-cardboard-box-figures-on-brown-surface-799465/
Today's episode is about how to trust machine learning in operations. This is a really serious issue because the attraction of machine learning is strong, but does not translate into operations.
Why doesn’t it translate? Because operations is a closed loop process where we constantly get feedback and have to adapt and adjust. That makes it difficult to train models and hope that they work. This discussion gets into why that's the case and what we can do about it.
Then we explore scenarios for machine learning and AI in operations.
Transcript: https://otter.ai/u/UBjf5IVnKvebTfQgW1xlneZdjOU Photo: https://www.pexels.com/photo/high-angle-photo-of-robot-2599244/
This episode explores applications for the edge. We really try to dig in on what will work in the edge from an application perspective. We also explore what's holding us back.
Every time we have a conversation about Edge, we help undangle the components of Edge. In this discussion, we get more concise about what type of infrastructure is needed to build real edge applications. We also define where edge applications are expected to work and where they don't.
Transcript: https://otter.ai/u/7uwv5Z3aupwE5ZGBXBEUqw9zkbE Photo: https://www.pexels.com/photo/red-and-black-robot-statue-185725/
To explore HCI at the edge, we started with SUSE’s Harvester. It’s an HCI integration of Kubernetes, KubeVirt, and Longhorn (their storage system) plus some PXE booting magic they threw in there. From there we explored how Kubernetes can fit into Edge HCI.
That really morphed into Edge operations more generally. It’s not clear if hyperconverged infrastructure can or can't fit. We covered items like AWS Outpost which is Amazon’s edge. We included items for the cloud to edge migration from an application development perspective.
There are a lot of fascinating ops and development topics throughout the conversation.
Transcript: https://otter.ai/u/Y2OH7SuJhPp4VRQSBAJk31-0_eI Photo: https://www.pexels.com/photo/crop-person-packing-jeans-into-carton-container-4498143/
Dependency chains are complex and fragile when you're depending on software, hardware cloud services that go away or change. In this conversation, we really examine the challenge of having dynamic vendor relationships and what we can do to fix and protect our environments.
It's really hard to fix what can be vulnerable when it also changes your software supply chain at any moment! And that can impact any device in your infrastructure!! We work through that problem means in practical terms.
Transcript: https://otter.ai/u/mwpwVINGYfkQ5F5IERXgsM2oHsA Photo: https://www.pexels.com/photo/focused-kid-rotating-colorful-pyramid-puzzle-5063480/
We reflected on 2021 and our four key panelists talked through what's coming for 2022. Instead of making broad predictions, we focused on the needs of the market. We felt there were many immediate needs around cloud outages and security challenges.
Of course, we also discuss how the edge is coming up along with more physical integrations like for automotive, healthcare, and energy creation and storage. All are very big topics that are local presence related computing.
Transcript: https://otter.ai/u/7IEszyeZEDGENz3JSzw_-4hmyVc Photo: https://www.pexels.com/photo/barefoot-boy-in-astrologer-costume-looking-through-spyglass-7139730/
This episode was a fun and interesting ride from boring standards to locking APIs via NFTs!
We started talking about “civilization technology” where standards and regulations are applied to infrastructure. We are expecting this to happen in cloud (eventually) because it allows us to create ecosystems around the infrastructure. The historical patterns that we see in railroads, buildings and electricity will emerge in IT too.
Or maybe they won’t! We haven't yet seen standards emerging in cloud or open source. And we had some really significant conversations around the interactions between these systems that would drive or resist standardization.
Transcript: https://otter.ai/u/-hhn6VEjtIQDl3UAHaCPUxCUaXo Photo: https://www.pexels.com/photo/slatted-wood-pathway-between-trees-1423827/
How do we make data centers green because, fundamentally, they are going to use electricity. But the sources of that electricity, how we respond to shortages of electricity and cost signals about that electricity are all critical to consider. These are the questions that lead us to how a green data center or green infrastructure gets created.
Our discussion also includes how infrastructure at the edge can play a role. Overall, there are A LOT of the factors that go into building and creating green infrastructure, including the motivations and signals that will hopefully change the market.
Transcript: https://otter.ai/u/9eirv3Rs292n7M1m8d1VaRPPRgA Image: https://www.pexels.com/photo/clear-light-bulb-planter-on-gray-rock-1108572/
How do we evolve technology in the future? We centered the answer on networking, but in a very general way.
The ability for a vendor to distribute technology and then connect things together and then build networks of that technology is a core component of how networking is evolving. Ultimately, this is about building technology systems.
Sadly, that led us into a very dark place where we really thought through who's going to own all of that infrastructure and their motivations. How can we make sure that the people's needs and the systems and the vendors' needs are well aligned?
Transcript: https://otter.ai/u/H8ik1HcmSExVBRklYbSCsV4yu2k Image: https://www.pexels.com/photo/shallow-focus-photography-of-keychains-1194036/
Our scheduled topic was supply chains generally, but the Log4Shell vulnerability dominated the discussion. We dove into the challenge of patching and fixing a library that is literally in nearly every device or service for years and years.
That led us to supply chains in the context of software, and specifically Java Log4j. This is a critical topic and our conversation about it was very thoughtful. We really covered the angles of what it takes to produce and maintain a supply chain for software. Then we discussed alternatives and things to consider when you building anything: software products or physical products in which embedded systems and components impact your designs.
Transcript: https://otter.ai/u/CJ8pYF1La6tetFasqZhEojo_zoY Image: https://www.pexels.com/photo/carton-container-with-eggs-in-rows-6294430/
We discussed the Amazon outage of December 7. Instead of simply blaming Amazon, we went looking for how the outage impacted people globally. We considered how hyper scalars are being treated and how these outages can be avoided or understood. We focused on who is impacted and what companies who are building on top of Cloud providers can do going forward.
We really took a classic Cloud 2030 approach for a very important and timely topic. Enjoy our discussion about the business impacts, understanding of the market and forward looking approach.
Transcript: https://otter.ai/u/cY4fk8mWIovIfkwfT4LDw2uy4QY Image: https://www.pexels.com/photo/a-person-holding-a-pan-with-cooked-eggs-7719168/
What is platform engineering? And why is it necessary and how to make it work compared to DevOps.
In this conversation, we really hit on the challenges of creating automation teams for building automation in scalable ways. Frustratingly, we never really came up with a particularly good answer to “what is a platform team” and why you should care. Strangely, your organization is probably building one.
Transcript https://otter.ai/u/zJeQbqXIyD8kZUxfKQdvQAfQGog Image: https://www.pexels.com/photo/building-construction-industry-technology-9617733/
We discuss standards, de facto standards, and cloud standards. It comes down to how we are creating repeatable results for the cloud marketplace.
Ideally, we're creating marketplaces where standards can be shared. We’d consider Amazon as the primary example, but we also talk about hardware and Kubernetes which have their own marketplaces.
Ultimately, we asked if we are creating standardized cloud infrastructure? The short answer is no.
Transcript: https://otter.ai/u/kGT8pGfbslZRgFktM0pE3AifwWI Image: https://www.pexels.com/photo/measuring-guitar-pick-3988555/
Serverless at the edge, part one. This is a dynamic and engaged conversation with key questions like:
What is serverless? Do we need serverless? How is edge serverless different than cloud serverless?
We see edge environments as collecting data from sensors that needs to be heterogeneous, multi vendor, dynamic and centralized. But where centralized?
I think that the serverless aspect of this really drives home the idea that we need to be able to make small, quick, easy updates into an edge environment into a sensor environment. But how we accomplish that is still to be defined.
Transcript: https://otter.ai/u/XOOi-HhvbqC6NG16-7ns6j_hPLE Image: https://www.pexels.com/photo/man-in-white-long-sleeve-shirt-holding-a-serving-tray-3772524/
Today we talked about supply chains, but mainly security and the security aspects of supply chains because we have a very serious challenges here.
We have made software and on boarding software for developers so easy, but haven't put the same efforts in how to manage production systems! The team really talked about what it takes to build production systems that respect security, supply chains, dependency graphs, and inclusion in a way that cross teams.
It's an incredibly important topic, and it is the foundation of any successful supply chain hardening effort.
Transcript: https://otter.ai/u/6zfld2gBpZMSGT8Vk_1Ka3pWtN0 Image: https://www.pexels.com/photo/light-city-road-traffic-10390684/
We explored Operations Value mapping. This lead to an a very interesting discussions of complexity budgets and how to measure complexity budgets. This includes managing supply chain, and value pipelines, and system coupling.
Complexity budgets could be a very powerful measuring tool for understanding operations value In an organization. Overall, this helps you explain the cost of complexity to organizational leadership.
Transcript: https://otter.ai/u/T1jXorfZO6Yc7fovBEXKgxSnxao Image: https://www.pexels.com/photo/old-map-of-iceland-on-wall-4338273/
Today's episode is about supply chains but with a Cloud2030 twist. We focused on forward leaning futures by looking into how supply chains are being disrupted. It's going to be hard to get them working again if they can ever come back!
Transcript: https://otter.ai/u/fBMFUh1TtBwdFvh7q0tKgpwW7kA Image: https://www.pexels.com/photo/buildings-cars-city-cross-harbour-tunnel-262100/
We start talking about conferences using biometric security, edge detection, and included your right to be forgotten.
In this fascinating conversation, we go into future projections of what it's going to take for people get privacy including the idea of using AI so face are left out the photographs! Would be possible? If so, what would drive that as potential thing.
We started it humorously thinking about all the cameras and all the biometrics that could be collected during AWS reinvent, which a lot of us will be at, at least in the shadows.
Transcript: https://otter.ai/u/fqYayHreB9FVPt2SzFFSMu7QAgo Photo by Cleyton Ewerton from Pexels [ID 5063551]
Why are Backups so Tricky?
Backups are really, really tricky! We talk through a lot of different things that you have to consider in making successful backups like security, resilience, how you store the data, how you recover the data and rebuild the systems. Basically, we ran the gamut on backup challenges.
You really need to think through a lot of the considerations! Our discussion will help make you better at backups.
Transcript: https://otter.ai/u/icmWxa0LmLT1Um-uAVWwGFc9Wq4 Photo by Alena Darmel from Pexels [ID 9037305]
We talk about Infrastructure as Code through a Kubernetes filter. We started with a check in on KubeCon and VMworld, both of which had just ended. Both of those shows are very relevant in our IaC discussion and considerations because we dig into how we build on those platforms.
Ultimately, that lead to the idea of pipelines and processes for building sustainable automation and operations. That got into very interesting places!
Transcript: https://otter.ai/u/O1UZds25tjCKUr0337HHOo-hxu4 Photo by Evan Velez Saxer from Pexels [ID 7417579]
Today's episode is about business value mapping. Instead of focusing on Ray Wang's "Who wants to rule the world" book, we got really deep into the why.
We discuss what is business value mapping, how it works, why it works, when it doesn't work, and what it takes to make it succeed.
So if you've read Ray's book, I think you'll get a lot of extra depth out of this, if you haven't read it at all, it might be a good primer on why you want to learn more about business value mapping and how to apply it within your own organization.
This is part one, we're actually having a whole other session about operations, value mapping, and talking that through in the next session.
Transcript: https://otter.ai/u/P_8lounzOlH-Ufw4urRDMpU9ILs Photo by cottonbro from Pexels [ID 5370916]
During this 20 minute check-in we dive security and SaaS infrastructure.
Can we protect the secrets that people are trusting to SaaS providers to store for us? The topic was inspired by the Twitch leak where a lot of sensitive information was exposed exposed to the public. That comes on the heels of all sorts of other leaks, compromises and down time on systems.
Overall, it seems like bad news is coming faster and faster for operators. The fundamental question is NOT can we trust a SaaS provider to secure information. We know the answer is NO. But what to do about it?
Transcript: https://otter.ai/u/bHe8mibvYE4vTIjWleOfJ2Z7iwI Photo by Joy Marino from Pexels [ID 3054158]
Today's episode is about Minimal Viable Product (MVP) which is a product development process focused on learning. It is an important element to building good resilient products and spending the right amount of time doing the right things.
But it's not a cure all! It might be right for what you're trying to accomplish.
In this podcast, we really go through when MVP works, when it doesn't work, and what goals to set when using minimal viable product.
This podcast will make you think about what should go into making product decisions.
Transcript: https://otter.ai/u/iuQMTRlDebdqhdhSAsXa5O0Qb2A Photo by Victor Puente from Pexels [ID 410091210]
Edge networking is hard! Because before we can talk about edge networking, we actually have to talk about edge management and edge control, and what it takes to build resilient infrastructure and train people to use it.
In the first half, we're talking about the challenges of managing infrastructure, using the Facebook outage of the week we recorded as a starting point for how challenging it is to build resilient infrastructure.
In the second, we talk about edge networking with solid insights about how challenging edge networking really is not just creating networks in edge locations, but what does it take to sustain an edge network and the integration and technologies over the course of multiple technology generations?
Caption: https://otter.ai/u/U6PvW4S34DUi1Awiu4gcYMLp-pk Photo by Tony Mucci from Pexels [ID 5367334]
What was working what wasn't working with conferences. But in traditional Cloud2030 style, we dove into the future, what would make great conferences, what makes conferences good, what made them good in the past and what technology changes we think could be coming in the future.
We extended that from conferences into meetings and meeting technology and transcription in the second half of this podcast. We really dive into how to help people connect together better since that's what conferences are about, too.
Then we extended it more broadly, and brought up some interesting things like sentiment analysis, and adding new dimensions into the types of tools that we're using today.
Transcript: https://otter.ai/u/k5RptA109SprrofV5QeEPHVg6yU Photo by Belle Co from Pexels [ID 1000445]
Understanding and Managing Certificates is a critical operational skill in which we cover the basics and then go deeper.
If you are familiar with SSL HTTPS, you are using certificates on a daily basis. And yet, actual management of trust and root CA is and distributing private and public keys or distributing public keys and managing private keys is tricky.
Even our expert panel still struggles while we understand what's going on. One of the challenges with this is in education and having people understand what they're actually getting from certificates and trust, and what they're not getting.
Transcript: https://otter.ai/u/CpGE5ybdVqiIlfoNqMIknTsLId4 Photo by Andres Ayrton from Pexels [ID 6551298]
Today's episode, we talked about the challenge of making Modular Automation. We broke down why that is so hard and really dug into ways in which we can increase the modularity and reuse of automation.
That led us to talking about infrastructure pipelines, infrastructure, reuse, and sharing state via digital twins in infrastructure.
All of this comes together really fascinating ways!
Transcript: https://otter.ai/u/O1KFCsmEpMpV-hNZjTzJ_ewxaUA Photo by Alena Darmel from Pexels [ID 7751055]
We go into the details about Secrets Management. We explore how the process works, and how to do it right. We also cover the alternatives.
This podcast is for you if you are trying to understand how secrets management works. We cover different scenarios where it can be applied, and where can go wrong.
Transcript: https://otter.ai/u/SvO6_I3RIiGmc2FLJM70y9xoQB4 Photo by Anna Shvets from Pexels [ID 4587991]
"The peak of trustability" came up during our discussion of Trust in general. We really unwound what trust means starting from simple concepts like credentials and certificates and other security items.
We got to a point where trust is also about software supply chain! Security includes how much you keep up with changes and what the latest things are. Then we realized that trust has an important time value: you don't trust, initially, you build trust, and then you lose trust.
This creates a peak of trust ability concept that I hadn't heard articulated before. I think is really important in understanding trust in a broader sense, especially when we think about Zero Trust. That;s not the end. It's an end point and it's also a starting point for building interconnections and relationships with people and tech.
Transcript: https://otter.ai/u/TNRiua5DxzsdR3Yh0eEjRJ45FB0 Photo: Photo by cottonbro from Pexels
Continuous Infrastructure Automation is a critical concept about driving much more resilient and repeatable systems.
As we build out applications on infrastructure, we should not treat them as a static deployment. Instead, we should think of infrastructure as constantly evolving, growing and changing.
There's a lot of technology and challenges in building that! In discussion, we firmly believe that this is the right path, but the path to get there is challenging. There are a lot of components that have to be considered: everything from artificial intelligence or machine learning, to how to manage and control and standardize the automation that does all that work.
Transcript: https://otter.ai/u/KmdQpMPJDPL1BjzXjEIEeavQRco Photo by Aleksejs Bergmanis from Pexels [ID 681335]
Cloud versus Edge? This panel dove into what makes edge different than cloud.
There are a lot of different technical and commercial drivers. And fundamentally, it matters who owns the sources of data and how data sources are different. This underscores how it is critical to understand data sources, infrastructure ownership, and how everything fits together.
This discussion will change to you rethink what makes Edge different than Cloud.
Transcript: https://otter.ai/u/y2ubHGGIhY31hRyiV6mW_B8e-os Photo by Agafonova Photo from Pexels [ID 5284983]
DevOps Lunch and Learn was about security practices. Specifically, we built an outline of topics in security that we think are necessary for developers and operators to build secure applications.
We basically built a week long course curriculum!
As we go through what this course curriculum we walk through who needs to know this information and why.
If you want to see all of the detail here, please see: https://docs.google.com/document/d/1x5QLP77mg2Dml_tWsK6IH66GPohF0B_Lvz4lUmZFXZQ/edit#heading=h.c2phqte5q4pl
Transcript: https://otter.ai/u/UyMAmiHi-rRAreMa0FjxaVNomhQ Photo by PhotoMIX Company from Pexels [ID 226746]
We talk about Digital Twins and the Edge with Simon Crosby from Swim.AI. They are literally building digital twins in edge locations so he has a lot to share.
We work to expand and understand how Simon's experience translates into general cases and what we're seeing in the edge. The systems that we're trying to build are at the intersection of models and "connectedness" of all the components for the edge.
These designs don't fit traditional models and it is what makes edge unique. Edge is not a single application, but a connected system that going to have to emerge to make all this work together.
Transcript: https://otter.ai/u/-uFSclONwRhhc4QlFywiSJAIF10 Photo by Dmitriy Ganin from Pexels [ID 7538096]
With Distributed Infrastructure and the Edge, we cover the challenges of managing applications that are, by definition spread out throughout heterogeneous infrastructure.
Distributed Control is designed to control systems that are are not in cloud data centers with localized compute and storage. But then how do we manage it?
We discussed details about how these systems get built, and kept coming back to "do we need to have localized processing?" If we do, how do we manage it?
Transcript: https://otter.ai/u/BkxvOrQMmmQiYQpxa-OogrMyNNw Photo by KEHN HERMANO from Pexels [ID 3881034]
This episode is about Terraform orchestration, what some people might call a TACO, in which we actually tried to do cloud provisioning in a orchestrated way. But this is a really challenging thing to do!
Orchestration is really hard so our discussion kept coming back to saying that this isn't orchestration at all: it's Infrastructure as Code and management.
We need to find a consistent way to to run a workflow or a control plane. We're not even getting to the point where we're coordinating or orchestrating aspects of different systems and using remote or API driven infrastructure.
Even if you use Terraform, you will get a lot out of this discussion!
Transcript: https://otter.ai/u/Ohbfr0Uprm95WYYI4357IdUodOU Photo by Gabriel Santos Fotografia from Pexels [ID 2102568]
Right to Repair is the idea that when you buy a product, you're able to fix it. We've been building products lately that don't have that inherent part of the contract.
In this episode, we really took Right to Repair to another level talking about Intellectual Property (IP) and ownership of that IP in the software components.
This topic impacts every single business and every single consumer!
Transcript: https://otter.ai/u/7EVT0C9T0KDCcUIWBsGYKHdiT6Y Photo: Photo by Blue Bird from Pexels [ID 7218008]
We talked about 5G, factories and edge infrastructure.
They are very interconnected because they live at the network edge and are sensitive to how we need to route traffic.
This is important as the basis for using digital twinning as a new user experience (UI/UX) around interacting with systems. This new approach is starting to emerge and it will be very network intensive, visually oriented, and involve overlaying the physical world with the virtual world.
How the heck are we going to connect all these things together?
Transcript: https://otter.ai/u/7lSSCwLdGiF9JqyunUHo19m6yPk Photo: https://www.pexels.com/photo/two-boys-sitting-on-crescent-moon-1651483/
Cloud provisioning is very difficult when you go beyond simple provisioning and start thinking about how to to stitch together infrastructure in a repeatable way!
Specifically, today's episode is a deep dive into Terraform usage patterns.
We get very hands on as we talk about how you manage state files and how you connect things together with Terraform.
We will spend a significant amount of time discussing in the fall because building infrastructure in a scalable automatable way, is a critical topic for the group.
This is an ongoing topic for us - stay tuned for more episodes!
Transcript: https://otter.ai/u/A-NgZOfa1xeIPA1uQOh8_bSStck Photo by Artem Beliaikin from Pexels [ID 1079033]
In this episode, we question the IT talent pipeline. We really work through boot camps and how we are building talent and skills for the generation of IT workers.
We ask some key questions like: Are degrees necessary? Can you teach these things quickly? How do we actually learn the skills that are necessary to build resilient systems? And what would it look like if we were creating certification programs, real certification programs, like we have in other trades?
Transcript: https://otter.ai/u/FTOvatXEYSxNze00HKXVz8OZHxU Photo by Yan Krukov from Pexels [ID 8613305]
Is open source driving innovation? And Is it a necessary component of Right to Repair and ownership? Are there commercial drivers where people want those open capabilities?
We transition into a deeper conversation about what's going on with open source. Is it being innovative? Who is leading? How is it working?
Transcript: https://otter.ai/u/vto0yPpBuZtqngkc_zqMDp9J39M Photo by Jeffrey Czum from Pexels [ID 4118958]
Good APIs are hard to design! Making them long lasting and scalable is even harder.
We discussed two aspects of API design. First, making about Event Bus for system integration and then RackN CTO, Greg Althaus, discusses what his team considers a good API design from Digital Rebar.
Transcript: https://otter.ai/u/2Pz3LwG4qPl58s3ewwGFCCFmg8w Photo by Tsunami Green from Pexels [ID 5192790]
Building an edge control plane is challenging! It's not clear even what is currently available. As always, data, data pipelines, data orchestration, and data choreography are all influential for edge infrastructure.
Transcript: https://otter.ai/u/yfa6Kzsd6CTjXOJ1MQjHBxp2J4Q Photo by Taryn Elliott from Pexels [ID 3889936]
IPUs, intelligent processing units, are also known as smart NICs, side cars, or supervisory computers. A well known example is Amazon's Nitro. We discuss the impacts of these supervisory processors, and how they can change the industry.
This is clearly the trend of the future. Building supervisory systems as additional processing capability into our core servers that then abstract out how the bus is interfaced how the routine peripherals, network activity, GPU or storage is abstracted in these systems.
BUT will they create a new way to manage heterogeneity and diversity inside of our hardware and server ecosystems? Can they have a dramatic impact on edge computing?
Transcript: https://otter.ai/u/NXx-LgMzI5jEmP2irldOwGpeKlg Photo by RF._.studio from Pexels [ID 3825581]
The "right to repair" is a really thorny and political issue! We talked a lot about John Deere, Apple and Tesla not letting people fix the products they've bought from those companies. We have a lot of questions! Why they do that? What the challenges are with RTR? How we could avoid them? What pressures keep us coming back to companies that are offering goods that we don't have the ability to repair?
Transcript: otter.ai/u/mDxnSfDXWqKOFA5Gbw8rG6TkDkE Photo by Kateryna Babaieva from Pexels [ID 2880871]
How can cloud economics of hyperscalar clouds be used to ended or limit their control? We discussed the state of the cloud ecosystem with a focus on where its going to go. After a full, rich, and dynamic conversation, we came back to security security, software (as opposed to SaaS), owning your own infrastructure, and the ROI of that infrastructure.
Transcript: https://otter.ai/u/Y7ZO7Y6e0JQr5Wz4hOWyyMRsGb8 Photo by Mikhail Nilov from Pexels [ID 77335782]
To understand CI/CD of infrastructure, you have to actually understand how the systems work together. In this podcast, we talked about low code, no code and how you would do integration testing for that. We also explore the idea of unit tests and code coverage for CI/CD presents challenges.
Transcript: https://otter.ai/u/oPGkPe8w-hG2LKXkQJhHAeJebe0 Photo by Karolina Grabowska from Pexels [ID 4021773]
How do we secure service meshes for zero trust? Especially since we don't know how they're going to be used or integrated?
We went very deep into what it takes to secure service mesh. That included what type of application frameworks are going to be required to provide multi-service infrastructures that are secure and trusted in a performing way.
Transcript: https://otter.ai/u/CUJdKeyT_hHLAZG9XKqzb-Y9N00 Photo by Alexas Fotos from Pexels [ID 2317932]
Can you composing infrastructure tasks: provisioning, configuration, security and monitoring, all together? Basically a Linux Pipe for automation? Maybe!
We talked about how hard it is to build robust, resilient infrastructure. The theme was supposed to be what could go wrong and finding the weak links in our infrastructure automation. Fundamentally we think that it's all weak links!
We had a good conversation about how we actually build and automate robust applications. But we didn't come to consensus.
Transcript: https://otter.ai/u/Qg_KgyXe7X4pl2E60gb6tunFshw Photo by Luis Quintero from Pexels [ID 2339722]
How can GitOps and Infrastructure as Code scale your team's ability to write automation? We answer how to take your DevOps to the next level. We really dig into what the automation challenges are and how you can do better as you build an integrated infrastructure system.
And of course, we did talk about Env0 and how Env0 solves the problem. And you will learn a lot about Env0 during this podcast.
Tim and I did discuss what it takes to build real infrastructure, automation pipelines,
Transcript: https://otter.ai/u/6ccxxk0MDmB67_xhlS3gohqM7gM
We talk about the impacts of Terraform going 1.0, Ansible, and the Fastly outage. We mix all those things together with a little bit of vendor gossip.
How might Terraform being "stable" change things? And is that going to help the industry hurt the industry? And what changes might be in stock?
Transcript: https://otter.ai/u/mL1fLJUiXO7qOhfcdC1f6E2LGEs Photo by Ba Tik from Pexels [ID 3754294]
Learning DevOps is a challenge! We discuss using the DevOps Roadmap to coach people to get into the field of DevOps and infrastructure automation.
DevOps is hard and challenging because the thing we kept coming back to there being so much to learn and understand. It can be really intimidating to get started!
We spent some time actually trying to break that down and give some starting points on how that works.
Roadmap: https://roadmap.sh/devops Transcript: https://otter.ai/u/jYcQ6eIoJWLGv1JKEBN_Iqh7w1M
Our Service Mesh discussion leaned heavily into the needs around edge infrastructure because there are so many missing parts for the edge deployment systems,
When we started talking about service meshes, we really realize is that the actual control plane, communications grid and security for edge are not defined enough for us to layer on what has become sort of a standard in cloud deployments of service mesh into that discussion.
How we got there, how we discussed it, and the components of why that's important, is much more interesting than the conclusion itself.
Transcript: https://otter.ai/u/RuXigltfMAuE4z-NZETAvNQNbRY Image: Photo by Zachary DeBottis from Pexels [ID 1888883]
Taking Configuration management for deployment pipelines and make it productive and effective.
And we really got into a lot of the challenges about scaling, rolling deployments, split tests, schema, migrations, rollbacks, and multi-site infrastructure. We dug in on the challenges that are related to making this actually work in a scale production environment.
Ultimately, we looked a system principles. How to deal with one component when you actually have to think through how you're building the software. Architecture makes a difference in how you manage the infrastructure and deployment pipelines.
Transcript: https://otter.ai/u/9A0U1YERv9ffOLGffzAd41E6VYc Image: Photo by Aleksejs Bergmanis from Pexels [ID 681335]
1x1 with Emil of Ntirety, which is an MSP that specializes in hybrid security. They're working with both huge and small customers by helping them build a coherent IT strategy. with a focus on holistic security and hybrid cloud.
We had a fantastic discussion about those topics and more. And if you're into security, you will find this a fascinating discussion.
Transcript: https://otter.ai/u/PvTlUBQC0FOg0rQdTh6GMIhN9wU
We keep coming back to "how do we defend our data advantage" but we don't know how, or why we should share data with people.
It's very clear that we should be sharing data and that there's economic benefit to us to do it. But we haven't figured out how to do it.
And that's the question that we're sort of struggling with in this whole conversation.
Transcript: https://otter.ai/u/nGfmf-7f0EZinGNGbdmHn2b4TL8 Image: Photo by Egor Kunovsky from Pexels [ID 5598634]
We discuss security related to the colonial pipeline, and what we could do to improve against ransomware attacks.
What are the different things that are impacts in that type of attack. And it's really a good exercise in thinking about security, especially security of secondary systems, and hard networks. very robust, resilient conversation.
transcript: https://otter.ai/u/rKh9TTyqrBeHxzsdClBtQi2admA image: Photo by Polina Tankilevitch from Pexels [id 4110404]
1x1 discussion with Andi Mann, He's a real leader when it comes to infrastructure, automation, DevOps, analysis, just putting everything together. And we had an amazing conversation, ranging the whole gamut of how to make technology better. complexity, hybrid, open source. You name it, we covered it!
Transcription: https://otter.ai/u/F7jazWNoRp3LJ8FNkWlJ8zPa4yU
General topics of interest: learning DevOps, and tech roadmaps, and how to build up to skills, infrastructure pipelines, release management, and more. These are topics that we want to dig into over the next several months.
Transcript: https://otter.ai/u/WZPhi8R_Uev2Ltc69RC6kl8eepI Image: https://www.pexels.com/photo/photo-of-graffiti-on-building-2600116/
How will we secure infrastructure in the future? Why is so hard to get security taken seriously? Because it's a supply chain problem. a vendor problem, AND a customer problem.
We have to solve this because it threatens to undermine very fabrics of what we've been building together.
Transcript: https://otter.ai/u/O3DTK6VPhYdSOc7HxbrzFwYElxk Image: https://www.pexels.com/photo/child-sipping-from-pipe-graffiti-2103127/
We go DEEPLY into the practice of image base (aka immutable) deployment.
Image based deployment is when we building infrastructure by cloning systems. That means actually writing the system image directly to disk. We typically start a VM, where it's already on the disk, and then clone that to an existing system.
Transcription: https://otter.ai/u/rOrf9VJ8lSOXkjLcRpfAd8R26SI Image: Photo by Lidia Riehman from Pexels [ID 5713996]
We started with the idea of what should our infrastructure be if we were going to get the perfect thing, the ideal thing and then work backwards?
We focused in on home and industrial uses. That led us into the way we think about building technology.
Transciption: https://otter.ai/u/KcUBUZvpOqXYlY-onF48OFZ7gSA Photo by Matheus Natan from Pexels [ID 3689875]
All about security, zero trust data, and shared homomorphic security.
If those terms mean something to you, you will find our conversation fascinating. And if they don't, you better be listening, because these are really important concepts that come together for how we will secure data in the future.
And we really believe that these are transformative technologies that challenge the current status quo.
Transcript https://otter.ai/u/yd3zfHMXZ-eE9QUuTYDIIojhT0s Photo by cottonbro from Pexels [ID 8088682]
We went deep into vendors, specifically Red Hat. So if you like vendor gossip and speculation then you'll love this. We talked about Red Hat, IBM, Oracle, a couple other vendors of note and speculated on their strategy.
Transcript https://otter.ai/u/L_uP42EK4AVjVmDxERD3f0V-2Yw Photo by Anna Shvets from Pexels [ID 4587991]
Is there a Jevons Paradox of Complexity? We started by asking key questions like: How much complexity is too much? How do we measure it? What's the business risk? DId we make complexity cheaper or just hide it away? Is there a price to be paid for building incredibly complex systems?
We answered these and more in the reference of business concerns and the business value.
Transcript: https://otter.ai/u/WfbSCL5GUiXCoSpFqe8DsTqxzw4 Photo by Ekrulila from Pexels [ID 2218344]
How Service Mesh works and why they're important. Towards the end, we start talking about the rationale and whys and hows of the architecture.
Transcript: https://otter.ai/u/OPEKGyWT6iDjMLVQlHZeKVWkh_I Photo by Karolina Grabowska from Pexels [ID 5422821]
James Urquhart joins the DevOps lunch for an impromptu discussion about the importance of Flow Architecture. You will learn a lot about how flow architecture work and why they are important to infrastructure and application design.
This is a great follow-up to our 1x1 interview with him on an earlier episode.
The RackN team goes behind the scenes describing the many ways that we've worked with customers to automated VMware deployments from the bare metal up.
Short checking w/ Rob about the format and community supporting the Cloud2030 discussions.
How businesses need to be thinking in order to respond to the cloud? Tim Crawford led this round table conversation about the challenges facing us. We also talk about managing complexity and what it takes to build a successful business in today's technology environment
Transcript: https://otter.ai/u/4iOmpqQsAhqW7RPwgz0sthpFC2s Photo: Photo by Frans Van Heerden from Pexels [ID 624015]
We were frustrated that we couldn't pull security together as cleanly as we want. So we extended the conversation beyond simple security into integrations and what you need to get done in order to automate security,
Transcript: https://otter.ai/u/08NW-tmEEH4E84UunOmfrLuvp4g
Detailed discussion about how to improve platform operations with Artificial Intelligence in general and how CAST AI does this for Kubernetes specifically. Leon Kuperman discusses additional benefits from being able to learn across a range of clouds and customers.
Transcript: https://otter.ai/u/OZIQK1DhTWC4G1ocLwVgbQzao8s
How do you bridge ecosystems and marketplaces and open source? Using Amazon and Kubernetes as examples of toolboxes that enables people to do other things leads to a discussion about what makes successful ecosystem.
Transcript: https://otter.ai/u/J2fDtW6wdIuAW09PR3fNIy0-Kuc Pexels Photo by Pixabay [ID 219794]
Continued DevSecOps discussion with Julian Vehent. Round table with the Cloud2030 lunch crew covering security, DevOps and automation.
Earlier Podcast: https://soundcloud.com/user-410091210/julien-vehent Transcription: https://otter.ai/u/0ewawrT4-OFl6rqsY8yAZCUSCZM Photo by Markus Winkler from Pexels [ID 3828944]
Love or question Open Source? It's important to understand people's concerns about it. This general open source discussion turned into a Kubernetes discussion but was really about building ecosystems and solving business problems. The group was skeptical about whether Kubernetes (or OSS in general) was doing that.
Transcript https://otter.ai/u/f4TL5kepcqrqKjTIwDFPH13IasA Photo by Julius Silver from Pexels [ID 753331]
We discuss four factors for using Edge Infrastructure as part of a broader spectrum of infrastructure.
Transcript: https://otter.ai/u/HNpz1MwmeogCoBR4RULeFGaSdzY Photo by Mat Brown from Pexels [ID 552600]
This is a 1x1 Cloud2030 discussion Miso.io founder/CIO Chris Psaltis. We cover cloud automation and management topics related to multi-cloud as a platform choice. We go deeply into how multi-cloud management does and doesn't work.
This discussion will broaden your definition of multi-cloud and help you design better distributed infrastructure.
transcript: https://otter.ai/u/caQSAarXMi_1AeoUu19DRE8Wt0g
We focused on edge, distributed infrastructure, and composable edge designs. Edge is evolving quickly and we discuss what the challenges are and why it's so difficult to pin down a definition.
Transcript: https://otter.ai/u/ZoRdmAO0tm052mmqe0dxJ1Gx5TQ Photo by winrood lee from Pexels [ID 2362030]
How much Complexity is too much? And are we building systems that have hidden complexity? We used Kubernetes as an example to think about patterns and how they are evolving. Why do people like systems that are complex and have a lot of open space for people to add things?
Transcript https://otter.ai/u/JF8JDQJne-UokSfK60qKgRX3I6o Photo by Chevanon Photography from Pexels [ID 1108101]
Decisions are made fast and furious when you're thinking about enterprise architecture in a cloud world. We talked about how infrastructure is built, where we're building it, why we're building it, and if the cost savings of moving to the cloud are real.
Transcript: https://otter.ai/u/spTuPrWO4vEPLlu8lqMdiFK7Bp8
Photo by alleksana from Pexels [ID 6781795]
Deep and thoughtful discussion about what it takes to build edge infrastructure. How will the Edge market be shaped? What the forces are driving the market? What are the architectural constraints?
Transcript: https://otter.ai/u/twfHh3yOZPaIPBuD4nCHOHGMA00
Photo by Rodolfo Clix from Pexels [ID 1036936]
Cloud2030 DevOps crew spent time talking unit test a CI pipeline. And then we branched into "Can you unit test automation in general?"
If you make a change to your pipelines, how do you know it's right? How do you know you're not breaking something, especially if they run into deployment? That the end of them, you could cause serious harm if you've made a trivial mistake?
Transcript: https://otter.ai/u/YCRHpuan9DJEPT2k9hKyovZ7zIs
Photo by Pixabay from Pexels [ID 577770]
If we don't trust the service providers then what happens to the cloud ecosystems? In this episode, the Cloud2030 team really got into what will cause transformation of the industry at a broad scale, what the triggers were, what the motivations are, and and sort of why it would happen.
And we did it talking about things like Bitcoin and trust and security and economics. So it was really well rounded discussion. And the punchline is that we think government changes, economic changes. geopolitical issues, are potentially big disruptors in this case, and hard to predict. And potentially other hardware innovations or things that the cost people lose faith or confidence in the way things are, could cause very rapid change.
https://otter.ai/u/_sFXEgOQWioySRU7X5GL6NRkRxY
Photo by Pixabay from Pexels [ID 461049]
Cloud2030 crew examines the real cost of complexity in the systems that we are building. Most critically, we re-examine if there's a real limit to how complex the systems can become?
Photo by Pixabay from Pexels [ID 258173]
A Cloud2030 extra! The crew expands our discussion into broader impacts of the technology that we're creating.
Photo by Jeremy Bishop from Pexels [ID 2397414]
Rob and Swapnil review major Cloud2030 topics from the last 6 months. This is a great podcast if you want to learn about the themes and insights we've gained from previous discussions.
Originally broadcast as https://www.youtube.com/watch?v=uvELO1qa-7I
Photo by Photography Maghradze PH from Pexels [ID 3764958]
Cloud2030 crew digs into how OpEx vs CapEx thinking changes the way we approach innovation.
Originally Recorded on Jan 21, 2021
Photo by Ono Kosuki from Pexels [ID 5974343]
Cloud2030 Team discusses how/if AI can improve infrastructure security.
Originally recorded Dec 17, 2020
Photo by Sora Shimazaki from Pexels [ID 5938531]
Interview with "Terraform in Action" author Scott Winkler. We have an in depth discussion about advanced Terraform and Infrastructure as Code as a practice.
Read the whole book! 35% off with http://mng.bz/xmy7 code pod2030cl21
And YES, we have a few free book codes! Contact @zehicle on Twitter to get one while they last.
DevOps lunch crew reacts to Redhat's changes to the Centos distribution model We discuss the impacts to the industry and alternatives.
Photo by DSD from Pexels [ID689784]
We discuss the function and challenges around Kubernetes Machine Controllers.
Transcript: https://otter.ai/u/frmLxgBSBcg3GwNRRRNs23nsGaA
Photo by Anamul Rezwan from Pexels [ID 1145434]
Infrastructure as Code (IaC) is more than just tech, it is a team process. In this discussion, we cover the team benefits of IaC including transparency, collaboration and repeatability.
Photo by Kateryna Babaieva from Pexels ID 2760243
Discussion about how Image-base (aka immutable) provisioning processes work. We talk about the tech and challenges in making the shift to images from netboot.
Photo by cottonbro from Pexels ID 4553277
Rob and Julien Vehent discuss the challenges of Securing DevOps. Including highlights from his book of the same name.
BOOK DISCOUNT CODE > pod2030cl21
This discussion discusses how CapEx vs OpEx impacts innovation. Specifically, we ask: * Is innovation going to be tied into platforms that you are reliant on in order to build new products and bring things to market? * Can you bring something to market without all of this surrounding infrastructure?
Hot Take: https://youtu.be/xl6qd2-vKGQ Video: https://youtu.be/vMfQJAYZJLo Transcript: https://otter.ai/u/6lPd3WsUkM3xQcRLRyCA1xeauoU
Photo by @joagbriel from Pexels [ID 175392]
Discussion about open source and how communities work (including OpenStack) We are really thinking about what makes a good project? What makes something in a ecosystem work as an open source project.
Video: https://youtu.be/9oI5xfB0wLU Transcript: https://otter.ai/u/2V4qlVkYswsvlqpOHayTnxQHnn8
Photo by Suzy Hazelwood from Pexels [ID 2523659]
Cloud 2030 group discussion about Cloud Economics. Specifically, we discuss how does the economic structure and complexity of Cloud create a feedback cycle that re-enforces to motivations to use cloud.
More https://at.the2030.cloud
Photo by cottonbro from Pexels [ID 4324101]
In the final segment of the2030.cloud summit, attendees reflect on what they learned about the discussions and where they want to focus next. Reflections about the Future? What have we learned? What can we change?
2030 Summit Wrap-Up:
More details * at.the2030.cloud * video: https://youtu.be/oX98WJ36neY * intros https://youtu.be/IEScOqCY63A * transcript https://otter.ai/u/nSIOxIc0etlHUHqeKJQe9yLVZJU
Photo by Sunyu Kim from Pexels [ID 3424213]
2030 Summit Part 6 of 7 - Are we accelerating disparities between technology have and have nots? How can we address this challenge in a systemic way?
More details * at.the2030.cloud * video: https://youtu.be/KLgJ_fDGiX4 * intros https://youtu.be/IEScOqCY63A * transcript https://otter.ai/u/D7kznEmL8StIeUeXLb9N8w9I9oc
Photo by Jonathan Portillo from Pexels [ID 3809792]
2030 Summit Part 5 of 7 - As we build larger and more complex systems, we're facing challenges that we have not seen before. What are they? How will we adapt?
More details * at.the2030.cloud * video: https://youtu.be/v36Ho-fSLKw * intros youtu.be/IEScOqCY63A * transcript https://otter.ai/u/E1pEVRYzV8ejO9Hy-L_2IzEDpHo
Photo by Andrea Piacquadio from Pexels [ID 3768126]
2030 Summit Part 4 of 7 - What are the consequences as cloud and service models speed the pace of innovation. Are we creating systems that are too complex to be understood? What happens when something breaks?
More details * at.the2030.cloud * video: https://youtu.be/NwyAeVQZnXA * intros https://youtu.be/IEScOqCY63A
Photo Credit by Chris Peeters from Pexels [ID 12801]
2030 Summit Part 3 of 7 - We explore how turning everything into a service is changing the nature of our society and access to capital
This discussion sets up the increasing pace of innovation.
More details * https://at.the2030.cloud * video: https://youtu.be/4uoYa0ExLTc * intros https://youtu.be/IEScOqCY63A
Photo Cred: Reynaldo #brigworkz Brigantty from Pexels [ID 747113]
Are we hooked on cloud? While it's hard to manage, it's changed the market in fundamental ways. In this 1x1 discussion, we explore the impacts of those changes.
Follow Ian: * https://twitter.com/ianrae * https://www.linkedin.com/in/ianrae/ * https://www.linkedin.com/company/cloudops/
Transcript: https://otter.ai/u/jCVMfVvF6lMDBeJtgy6xh-CMwLo
2030 Summit Part 2 of 7 - Exploring the consequences of digital systems taking over the basic functions of daily life. What happens when the world stops when the Wifi is down?
This discussion sets up our next 3 sessions.
More details: * https://at.the2030.cloud * video: https://youtu.be/RW9rQAClvUA * intros: https://youtu.be/IEScOqCY63A
Photo Credit: Cottonbro on Pexels [ID 4631076]
2030 Summit Part 1 of 5 - Spirited Discussion of security over the long term. We start from today's security challenge and think about how the solutions will impact our future infrastructure.
More details * at.the2030.cloud * video: https://youtu.be/LlBb_qx0xYc * intros https://youtu.be/IEScOqCY63A
Photo Credit by Travis Saylor from Pexels [id 951408]
DevOps lunch discusses the impacts of deplatforming Parlor for the industry both in technical and (armchair) legal terms. We discuss other cases where online activity is limited by providers and governments.
Photo by Moose Photos from Pexels
To document previous discussions, we narrow our scope down to the coming inflection point where power returns to the users [if, that can happen].
Photo by Pelipoer Lara from Pexels
Interactive discussion about the future of hardware for cloud and edge use cases. We discuss open source hardware, impact of ARM, innovation cycles for data center technologies.
Photo Credit: https://www.pexels.com/@tima-miroshnichenko
Announcing: Renaming Podcast to be the2030.cloud !
Discussion about the broader impacts of the Solarwinds hack including security, access and process behind our innovation cycles.
Transcript: https://otter.ai/u/HjD---bDWXujzt_Q_yN9Y1VFZhM
The Cloud2030 community digs into disaster, risk, and unexpected events that could disrupt technology. You think 2020 is bad... what till you hear what we're thinking up.
General discussion about DevOps challenges and market. If you are interested in the book club, our first book will be the Phoenix Project by Gene Kim.
Joining us this week is Sean Heiney, COO, SignalWire.
About SignalWire We are the original geeks of software-defined telecom - developers of the #1 open-source communications platform in the world.
Our mission is a simple one. To empower you to build whatever you can imagine utilizing software-defined telecom capabilities. Whether it’s a product, service, application, or enterprise communication tool, we want you to focus on your idea instead of worrying about developing, scaling, maintaining, and of course, overpaying for complex communications technology and services.
Lively discussion about Distruptablity of AWS, Risks to status quo, The Cloud2030 Series comes from regular discussions in the Cloud2030 community -https://at.the2030.cloud/feed
Deep discussion about IPv6 and networking concepts. We cover practical aspects of IPv6 and potential future applications.
Joining us this week is Patrick McFadin, Apache Cassandra and VP, Developer Relations at DataStax.
About DataStax
DataStax helps companies compete in a rapidly changing world where expectations are high and new innovations happen daily. DataStax is an experienced partner in on-premises, hybrid, and multi-cloud deployments and offers a suite of distributed data management products and cloud services. We make it easy for enterprises to deliver killer apps that crush the competition. More than 400 of the world’s leading enterprises including Capital One, Cisco, Comcast, Delta Airlines, eBay, Macy’s, McDonald’s, Safeway, Sony, and Walmart use DataStax to build modern applications that can be deployed across any cloud.
A spirited discussion about the role Open Source plays in innovation and enterprise. It was unlike most "Is Open Source working" discussions because we're focused on longer term. This sets the stage deeper discussions about how innovation and disruption will happen in the cloud world.
Wide ranging discussion lead by Charity Majors about the challenges with Observability and general operational accountability. Discussion moves from technical to organizational and cloud. Really covers core issues related to DevOps and system thinking.
Joining us this week is JP Morgenthal, VP & CTO, Automation Anywhere.
About Automation Anywhere Automation Anywhere is a global leader in Robotic Process Automation (RPA), empowering customers to automate end-to-end business processes with software bots – digital workers that perform repetitive and manual tasks, resulting in dramatic productivity gains, optimized customer experience and more engaged employees. The company offers the world’s only web-based and cloud-native intelligent automation platform combining RPA, artificial intelligence, machine learning and analytics right out of the box, to help organizations rapidly start and scale their process automation journey. Its Bot Store is the world's first and largest marketplace with more than 1,000 pre-built, intelligent automation solutions. With a global network of 2,000 partners, Automation Anywhere has deployed over 2.4 million bots to support some of the world’s largest enterprises across all industries. For additional information, visit www.automationanywhere.com.
The community discussed a variety of DevOps topics in a free format meeting with ideas for future Distance DevOps meetings.
Discussion about how a series of issues including leaving large files publicly accessible lead to over $2500 in AWS charges in 24 hours! We discuss how it happened and what you can do to prevent it.
Joining us today is Ilan Peleg, Co-Founder and CEO Lightrun.
About Lightrun Founded in 2019, Lightrun is the first complete continuous debugging and observability platform. Lightrun allows developers to easily and securely add logs, performance metrics and traces to production and staging environments in real-time and on-demand. By enabling developers to gather data from the app in real-time, developers and engineering organization leaders gain 100% code-level observability and faster resolution of production issues.
Lightrun replaces the iterative, non-agile process required today for debugging applications. ISO-27001 compliant, Lightrun is committed to enterprise-grade security standards. Lightrun is platform-agnostic, works on-prem, in the cloud, in containers and on serverless code. Lightrun’s proprietary sandbox ensures that the original application’s behavior is not compromised.
On November 18, Lightrun and JFrog will host a joint webinar to discuss the larger trend of Continuous Observability and how they fit into it, and how engineering organizations can slash MTTR by employing Continuous Debugging during incident resolution. Register at https://leap.jfrog.com/lightrun-achieving-complete-agility-us-lp.html
Carl Perry provides an in depth look at the history of Linux networking configuration leading up to IP Tables and NF Tables.
BONUS Space Geeking at the end.
Joining this week is Ross Ethridge, Lead Engineer at Buurst.
About Buurst At Buurst, We know data is your most critical asset, which is why we strive to ensure your data is available when you need it, anywhere you need it, with the performance you and your customers have come to expect.
About Buurst Fuusion Buurst Fuusion is the only edge solution to connect business data from remote locations to the most powerful cloud services, regardless of your data’s original format. Whether or not it’s running as a container, existing hardware, or a virtual machine, Fuusion works for you.
Discussion about DevOps in Edge Infrastructure Environments. This was a lively discussion about issues concerning constrained environments and infrastructure covering wide ranging topics.
Joining us this week is Peter Zaitsev, Founder and CEO, Percona.
About Percona Percona is a leader in providing best-of-breed enterprise-class support, consulting, managed services, training and software for MySQL®, MariaDB®, MongoDB®, PostgreSQL® and other open source databases in on-premises and cloud environments.
Percona was founded in August 2006 by Peter Zaitsev and Vadim Tkachenko and now employs a global network of experts with a staff of over 200+ people. Our large and diverse customer list boasts one of the highest renewal rates in the business.
Detailed discussion and demo of Skaffold and customized CI pipelines w John Scharber. Lots and lots of YAML in this one!
Joining us today is David Found, President & CEO at ShuttleOps.
About ShuttleOps
Software delivery is now critical for virtually every organization, even if the process of deploying it can be hampered by mind-numbing complexity. Our goal is to help you remove the errors, latency, and risk that can result from a manual, onerous or sluggish application deployment process.
We took a holistic view of application automation, focusing not only on the technical aspects but on how people and processes influence the end-to-end experience. So you can automate the delivery of applications, fixes, and features to your customers quickly and securely.
Interactive and balanced discussion about how and when minimal viable product (MVP) strategy works. Includes story telling about RackN and Digital Rebar journey.
Joining us this week is Derek Swanson, CTO Silk. About Silk
Silk’s Cloud Data Platform optimizes everything about life in the cloud, allowing organizations to get ten times the performance out of their existing cloud data while spending 30% less. It fits neatly between your full application stack and cloud infrastructure, making your entire cloud environment run smarter without changing a thing. With real-time data reduction, thin provisioning, and continuous resource optimization, Silk automatically matches your cloud data spend to your actual data needs at every moment, so you can spend less and cloud more
Jerome Hardaway discusses the how, what and why about VetsWhoCode.org. This detailed session explores how they help Vets be successful both with coding and in the workplace.
Joining us this week is Thomas Vitale, Sr Systems Engineer at Systematic as well as author of the book " Cloud Native Spring in Action."
Get a 40% discount on the book using the code: podL8istSh9y20 (https://www.manning.com/books/cloud-native-spring-in-action)
Paul Teich leads a spirited and VERY DEEP discussion in how Liftr discovers hidden information about the clouds and then talks about how to balance performance vs cost vs availability. We also talk about ARM vs Intel vs AMD.
Sherri McGurnaghan leads a spirited discussion about DevOps and Agile. We consider what makes it challenging to success with Agile and how to improve your experience with it. This is not anti-Agile, but an honest reflection on how it works.
Lively discussion about how to make Virtual Conference work better for both attendees and speakers led by Keith Townesend / The CTO Advisor
Federico Lucifredi explains how super computing works problems in parallel and how to optimize computational load. The RPis make an interesting backdrop because they expose CPU and Networking constraints even in small amounts.
This is the seventh recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
Federico Lucifredi shows the parts and process to build a Raspberry Pi cluster using parts from Pico. He shows the process to automate a consistent build process and then we discuss alternatives in market.
This is the sixth recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
IaC w Paul Stack (@stack72) from Pulumi
Joining us this week is Tricia Howard, Marketing Manager at HolistiCyber.
We discuss various security issues including working from home, TikTok, online schools, etc.
This is the fifth recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
“Data Gravity” w/ @mccrory
Rob Hirschfeld and Stephen Spector announce the launch of a new community/event called Cloud 2030. This concept is based on the past Cloud 2020 event held at Switch in 2010 focused on the future of cloud.
In addition to being a global community of cloud operators this will operate as en event without a fixed schedule. Come join at https://cloud2030.mn.co to learn more.
This is the fourth recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
“IaC w Terraform” w @discoposse [Eric Wright, recording]
Joining us this week is Sarbjeet Johal, Cloud Consultant and Tyler Johnson, CTO of PrivOps.
Twitter Links: Sabjeet Johal -> https://twitter.com/sarbjeetjohal Tyler Johnson -> https://twitter.com/Tyler_J_J
This podcast follows from a Twitter discussion found at https://twitter.com/sarbjeetjohal/status/1283650907570225153.
Joining us this week is James Urquhart, Executive Technical Advisor, VMware
James offers additional thoughts to his recent post "Edge Computing and Flow Evolution" on InfoQ. (https://www.infoq.com/articles/edge-flow-evolution/)
James book can be pre-ordered at https://www.amazon.com/Flow-Architectures-Streaming-Event-Driven-Integration/dp/1492075892
This is the second recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
This episode focuses on automation with Larry Smith Jr, @mrlesmithjr
Joining us this week is Michael Raineri, Sr Principal Software Engineer at Dell EMC
Michael offers insight into the DMTF Redfish Standard for SDDC at https://www.dmtf.org/standards/redfish and https://redfish.dmtf.org/ (Developer Hub).
This is the first recording of the Weekly Distance DevOps Lunch and Learn hosted by Rob Hirschfeld.
This episode focuses on JQ; problems it solves, when to use it, alternatives, etc.
Joining us for this week's podcast is Jay Vyas, Member of Technical Staff at VMware and Chris Love, Principle Engineer with LionKube.
DISCOUNT CODE: podL8istSh9y20 for 40% discount (good for all our products in all formats)
Jay and Chris have just published a new book, Core Kubernetes available at https://www.manning.com/books/core-kubernetes.
About the book Core Kubernetes is a reference guide designed to teach operators, SREs, and developers how to improve reliability and performance of Kubernetes-based systems. In it, Kubernetes experts Chris Love and Jay Vyas provide a guided tour through all major aspects of Kubernetes, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. You’ll understand the unique security concerns of container-based applications, discover tips to minimize costly unused capacity, and get pro tips for maximizing performance. This awesome collection of undocumented internals, expert techniques, and practical guidance has invaluable information you won’t find anywhere else.
Joining us this week is Gideon Rottem, CEO and Founder of Deeyook.
About Deeyook Deeyook seeks to redefine location technology through its patented, wireless-based firmware solution. The firmware can be installed in any WIFI/4G/5G radio access technology and it works by measuring angles of wireless transmissions, a first of its kind in the world of wireless tracking technology.
Rob and Stephen discuss the latest doings with the L8istSh9y podcast with a call-out for new participants as well as a few thoughts on the current trend of online events.
Joining us this week is Ohad Maislish, CEO and Co-Founder of env0.
About env0
We started env0 in 2018 with the goal of helping extend the power of Infrastructure as Code to everyone on the team. We found the IaC frameworks are too focused on the purely technical elements of deploying infrastructure and missed the connection back to the business. And the existing IaC management tools were all focused on just helping the SRE/DevOps team but not actually changing the way that deployments worked.
env0 is dedicated to providing the self service that your team expects from the cloud, while maintaining the governance, cost control, and visibility that you need to securely deploy your infrastructure with confidence.
Joining us this week is Chris Short, Principal Technical Marketing Manager, Red Hat.
Chris is also a Cloud Native Ambassador at CNCF as well as the author or DevOps’ish & KubeWeekly.
Joining us this week is Joe Duffy, CEO and Co-Founder of Pulumi.
About Pulumi
Pulumi’s Modern Infrastructure as Code platform provides superpowers for teams to manage any cloud using their favorite languages. Organizations of all sizes, from startups to the Global 2000, have chosen Pulumi for their cloud transformation and modernization needs. Pulumi is based in Seattle, venture-backed and founded by Microsoft, Amazon, and Google software veterans in 2017.
This weeks guest is Simon Crosby, CTO at Swim.ai.
About Swim.ai Swim was founded in 2015 by the creators of the open source swimOS platform. We developed the Swim platform as the best way to build intelligent real-time apps, without worrying about distributed hardware infrastructure and constantly wrangling distributed state. Swim is based in Campbell, CA and also has offices in Cambridge, UK.
Joining us this week is Corey Scobie, CTO at Chef Software.
About Chef
Chef is the leader in Continuous Automation software, an innovator in application automation and one of the founders of the DevOps movement. Chef works with more than a thousand of the most innovative companies around the world to deliver their vision of digital transformation, providing the practices and platform to deliver software at speed.
Joining us this week is Andrew Wertkin, Chief Strategy Officer at BlueCat.
About BlueCat BlueCat is the Adaptive DNS™ company. The company's mission is to help the world's largest organizations thrive on network complexity, from the edge to the core. To do this, BlueCat re-imagined DNS. The result – Adaptive DNS™ – is a dynamic, open, secure, scalable, and automated resource that supports the most challenging digital transformation initiatives, like adoption of hybrid cloud and rapid application development.
Joining us this week is Tal Weiss, CTO & Co-Founder of OverOps.
About OverOps OverOps was founded by engineers with a vision to change the way the world delivers reliable software. Tired of trying to resolve software errors using manual, noisy log files, the team searched for a better way. We built a powerful break-through solution that empowers developers, QA, DevOps and the business with actionable, code-level insights. Today, large enterprises have come to rely on OverOps to ensure a stable, reliable, software experience.
The RackN teams provides an in-depth overview of how DHCP and PXE boot work along with highlights in their remote booting on a Raspberry Pi
Joining us this week is Lee Liu, CTO and Co-Founder, LogDNA.
About LogDNA:
LogDNA is a log management company for the future of business. LogDNA enables petabytes of data from disparate locations (public cloud, private cloud, on-premise, hybrid, IoT and PoS) to be parsed and searched super-fast.
Joining us this week is Paul Teich, Principal Analyst and Liftr Insights.
Liftr Insights is a global industry research and advisory firm that offers market intelligence as a platform for technology investors to make informed investment decisions on Internet-attached infrastructure.
Co-hosts Stephen Spector and Rob Hirschfeld discuss the newly released State of the Edge 2020 report as well as some thoughts on the recent cancellation of Mobile World Congress.
Joining the podcast this week is Sander Bogaert, VP Engineering at Guardsquare.
About Sander Bogaert Sander Bogaert leads the technical teams at Guardsquare. He ensures engineering efforts are aligned with the company’s technical vision and helps determine the next steps for existing and new products. Sander joined Guardsquare very early on and built iXGuard from scratch after some initial months working on DexGuard.
About Guardsquare Guardsquare is the global leader in mobile application protection. Hundreds of customers worldwide across all major industries rely on Guardsquare to secure their mobile applications against reverse engineering and hacking. Built on open source ProGuard technology, Guardsquare software integrates transparently in the development process and adds multiple layers of protection to Android (DexGuard) and iOS (iXGuard) applications, hardening them against both on-device and off-device attacks. Guardsquare is based in Leuven (Belgium) with a US office in Boston, MA.
Joining us this week is Ed Kuzemchak, CTO and Director, Embedded and IoT Engineering at Software Design Solutions.
About Software Design Solutions Software Design Solutions provides consulting and embedded software development services. We use our knowledge and expertise to solve problems at every stage of application development. Companies can either hand off projects for us to develop for them, or we can join the existing customer team to provide experienced engineers with little or no ramp time. They can also leverage our decades of embedded software expertise to learn new best practices in agile embedded software development.
Rob Hirschfeld announces the new EdgeLab project (http://edgelab.digital) for developers looking to build an inexpensive edge infrastructure solution to test basic edge computing concepts. The project is on GitHub and contributions are welcome.
Eric Wright, Director Technical Marketing and Evangelist at Turbonomic offers his end of year thoughts for the state of technology. He is also a well known podcaster at DiscoPosse.
Mark Thiele joins the L8istSh9y to talk the future of our industry and how previous open source projects like OpenStack offer us a chance to do things differently with new projects like Kubernetes.
Joining us this week is Pranav Dharwadkar, VP of Products and Jakub Pavlik, Director Engineering discussing their solution from Volterra.
About Volterra: Volterra provides a distributed cloud platform to deploy, connect, secure and operate apps and data globally across multiple clouds and the edge. Volterra’s solution includes distributed app management, cloud-native infrastructure and secure connectivity.
Joining us is Niraj Tolia, CEO of Kasten to discuss his thoughts on the recent KubeCon, the Kubernetes Ecosystem and multi-cluster deployments.
Our guest today is Dr Mahadev Satyanarayanan, Carnegie Group Professor of Computer Science at Carnegie Mellon University.
Satya's multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet. In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT). Most recently, his seminal 2009 publication “The Case for VM-based Cloudlets in Mobile Computing” and the ensuing research has led to the emergence of Edge Computing (also known as "Fog Computing"). Satya is the Carnegie Group Professor of Computer Science at Carnegie Mellon University. He received the PhD in Computer Science from Carnegie Mellon, after Bachelor's and Master's degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE.
Rob offers his thoughts on the recent KubeCon event in San Diego as well as the recent reviews of the Google Stadia Gaming deployment.
Joining us this week is Aaron Rinehart, Co-Founder and CTO at Verica. While the company remains in stealth mode Aaron provides insight into the reality of Chaos Engineering and dispels plenty of concepts that most people misunderstand on the topic.
This week’s guest is Chris Short, Principal Technical Marketing Manager at Red Hat; CNCF Ambassador and Co-host PodCTL Podcast.
This podcast also includes a discussion on event giveaways and too much socks.
Overview of the recent talk Rob Hirschfeld gave at Edge Congress Austin about Edge Computing and trends that people are overlooking as they move forward in this new industry trend.
Also, an aside to slide formats in all black and chicken sandwiches.
Joining the L8istSh9y today is Derek Collision, CEO and Founder at Synadia Communication and longtime industry leader in building the tools for today’s computing architecture.
Bernard Golden offers his thoughts on Edge Computing and its relationship to Public Clouds. He certainly give the answer that Rob and Stephen expected.
Joining the L8istSh9y today is Derek Collision, CEO and Founder at Synadia Communication and longtime industry leader in building the tools for today’s computing architecture.
Rob Hirschfeld and Derek have an in-depth discussion on how open source software projects are run today and the failure in creating an open source methodology to properly leverage the ideal while still making money for a business.
We discuss the recent news of Docker looking for more revenue and discuss why Docker has money challenges by understanding Kubernetes and comparing it to SQL.
Joining the podcast is the CEO and Co-Founder of Zadara, Nelson Nahum. (www.zadara.com)
About Zadara Zadara is agile, secure enterprise cloud storage, built to meet the demands of hybrid IT. We help organizations eliminate the cost and complexity traditionally associated with enterprise data storage, by providing industry-leading enterprise data storage solutions as a fully-managed service, with 100%-uptime SLA and consumption-based pricing. Zadara uses a combination of industry-standard hardware and patented Zadara software to deliver the power of enterprise-class data storage and management — with the convenience of the cloud. Any data type. Any protocol. Any location. Zadara is available via public clouds (AWS, Google Cloud Platform, Azure, and more), managed service providers, data centers, colocation partners, and on premises in customers' data centers.
Joining us this week is Ed Horley, Co-Founder and CEO of Hexabuild.
About Hexabuild HexaBuild is an IT professional services consultancy comprised of industry-recognized IT subject matter experts and thought leaders. Our core team has a combined 60+ years of experience, multiple expert-level vendor certifications, and several publications by recognized technology presses.
HexaBuild specializes in managing IPv6 adoption initiatives and large-scale cloud deployments for both enterprises and service providers. Services include IPv6 training, IPv6 consulting, IPv6 address planning, IPv6 hardware and software assessments, IPv6 network/IT environment audits, on-prem to cloud migration and integration.
Joining us this week is Jerry Vasquez, self-professed pirate captain and chef ALSO Product Manager with Liquid Web.
About Liquid Web Liquid Web powers content, commerce, and potential for SMB entrepreneurs and the designers, developers and digital agencies who create for them. It’s our focus. And that focus translates to products, services, and support designed specifically for mission-critical sites, stores and applications. Our nearly 250+ experienced administrators, engineers, and technicians are dedicated and empowered to make your life easier - so you can focus on the work you love. For us, it is all about Powering Your Business Potential™.
Guest: Niraj Tolia, CEO and Co-Founder, Kasten.io
Niraj’s Post on VMworld 2019: Highlights from VMworld 2019
Rob’s Post on Bare Metal and VM Performance Post : Yes – VM + Containers can be faster than Bare Metal
Joining the podcast this week is 3 Calsoft experts in the cloud, networking, telecom and edge space:
Pavan Gupta, Software Architect, Calsoft Kiran Divekar, Software Architect, Calsoft Umang Rajvanshi, Principal Marketing Analyst, Calsoft
As mentioned in the podcast, get their recent ebook:
A Deep-drive On Kubernetes For Edge : https://calsoftinc.com/resources/ebooks/a-deep-dive-on-kubernetes-for-edge/
Joining us this week is Niraj Tolia, Co-Founder and CEO, Kasten. He talks about his company's focus on the cloud-native ecosystem and how Kasten is tackling Day 2 data management challenges to help enterprises confidently run stateful applications on Kubernetes. In particular, they have developed a unique application-centric approach to help operations teams with their backup/recovery, disaster recovery, and cross-cluster and cross-cloud mobility requirements.
Before starting Kasten, Niraj was the Senior Director of Software Engineering at EMC/Maginatics and was responsible for the CloudBoost family of data protection products. Prior to EMC’s acquisition of Maginatics, he was a founding member of the Maginatics team and played multiple roles within the company including VP of Engineering, Chief Architect, and Staff Engineer. Niraj received his PhD in Computer Engineering from Carnegie Mellon University, where, as a part of the Parallel Data Lab, he worked on distributed storage systems. He also received his BS and MS degrees in Computer Engineering from Carnegie Mellon University.
Rob Hirschfeld talks about the new open source Digital Rebar 4 release with its new features and flipped open source release changes.
Joining us this week is Doug Beardsley, Director of Engineering at Kadena (https://kadena.io/).
Upcoming Events: The founders of Kadena Will Martino and Stuart Popejoy, along with our Head of Growth, Ben Jessel, will be speaking at World Blockchain Forum NYC on September 27-28, 2019.
Doug Beardsley, Director of Engineering, Kadena
Doug is Kadena's Director of Engineering, contributing 15 years of professional software experience to the role. He spent six years working in the defense industry where he built large scale radar tracking and data fusion systems from the ground up. Doug has been writing Haskell professionally since 2010, with projects in finance, data visualization, and analytics covering both frontend and backend web development.
He is the author of the Snap web framework and maintains a number of open source Haskell libraries. Doug is also active in the Haskell and functional programming communities as a co-organizer of the New York Haskell Meetup and the Compose Conference.
About Kadena
Kadena is creating a hybrid public and permissioned blockchain with a safe and easy-to-use smart contract language. Kadena is fast, secure and simple—and we’re in use today by Fortune 500 clients in finance, healthcare and insurance. Our partners include USCF, a $3 billion dollar ETP fund that leads in alternative investments. Chainweb, Kadena's scalable Proof of Work blockchain, is launching at the end of 2019.
Rob Hirschfeld and Stephen Spector discuss the recent trend of having "the best" team and a recent twitter discussion on 10x engineers.
Joining the podcast this week is Adam Kranitz from CloudCheckr.
Adam is a New York-based marketing communications director focused on enterprise SaaS and media technology brands. As head of social media marketing at one of the largest media technology companies in the world, Avid Technology, he built the global storytelling platform AvidBlogs.com and helped to launch the film, video, audio, and music creation software used by the biggest names in entertainment. Prior to that, Adam co-founded BrandingStrategyInsider.com, the global thought leader in brand strategy and brand education. Today, Adam runs communications at CloudCheckr—the most comprehensive Cloud Management Platform (CMP) for finance, security, and compliance teams—leading brand strategy, events marketing, creative services, analyst relations, public relations, community, and social media programs.
Joining us today is Mike D Kail with fantastic thoughts on Kubernetes, Cloud Computing, and Edge.
Mike D Kail- CTO, Everest.Org and Former CIO, Yahoo and VP, Netflix
Currently Everest’s CTO, responsible for the technical implementation of the scalable identity and payment solution platform. Recently named by the Huffington Post as one of the “Top 100 Most Social CIOs on Twitter”, Mike was the former CIO/SVP of Infrastructure of Yahoo!. He also served as VP of IT Operations at Netflix.
Joining us this week is Matt Caufield, Co-Founder and CEO Oort.io.
Matt is currently co-founder & CEO at Oort, an early-stage startup focused on the intersection of Cybersecurity and Edge Computing. Previously he led the award-winning Boston Center of Excellence team at Cisco, taking new product ideas from concept to production through a customer co-development pipeline. He studied Electrical Engineering and Computer Science at Cornell University with a concentration in distributed systems and networking.
Ravikanth Chaganti offers his thoughts on Infrastructure as a Service and how data centers are operated.
Joining us this week is Sam Nagar, Co-Founder and CEO Pixeom. He provides insight into the history of his company and how they are already deployed in sizable production environments.
About Pixeom Pixeom is a five year-old company that’s changing the way enterprise manages cloud resources. Pixeom is the market leader in this emerging category based on revenue, number of deployments and number of experts within the company. Pixeom’s enterprise software platform delivers all the power of the cloud with the speed of on-premise edge computing.
Joining us this week is Eric Wright, Director Technical Marketing at Turbonomic. He joins a discussion talking about Rob Hirschfeld’s recent post on The New Stack, The Optimal Kubernetes Cluster Size? Let’s Look at the Data (https://thenewstack.io/the-optimal-kubernetes-cluster-size-lets-look-at-the-data/)
Co-Hosts Rob Hirschfeld and Stephen discuss the latest news in the open source industry including the impact of AWS on open source databases and the recent news around MapR and other big data vendors.
Joining us this week is Avi Press, Software Engineer at Fraction and creator of the open source Toodles project. This podcast comes from a recent post by Avi on Medium, “A Failed Effort to Get Paid for an Open Source Project.” https://medium.com/swlh/a-failed-effort-to-get-paid-for-an-open-source-project-bd7fa4658a1e
About Toodles Toodles scrapes your entire repository for TODO entries and organizes them so you can manage your project directly from the code. View, filter, sort, and edit your TODO's with an easy to use web application. When you make changes via toodles, the edits will be applied directly the TODO entries in your code. When you're done, commit and push your changes to share them with your team!
Simon Crosby, CTO and Co-Founder of Swim.ai provides an in-depth overview of the newly available technology with plenty of examples demonstrating the substantial gains in edge cloud application processing vs existing cloud applications.
Rob Hirschfeld and Mark Thiele give their Open Infrastructure Talk from the recent event in Denver in this podcast. Slides for the podcast are available at https://speakerdeck.com/zehicle/edge-dont-touch-that. A video of the talk is at https://youtu.be/KvqN8x1bDCw.
Chetan Vinkatesh, CEO and Co-Founder of Macrometa provides deep technical insight into their soon to be launched Global Edge Fabric development platform. For more information go to https://www.macrometa.co/product.
Joining us this week is Ben Silverman, Chief Cloud Officer, Cincinnati Bell Technology Services.
Highlights • Ben Silverman Background • Experience at Denver Open Infrastructure Summit o PTG Separation • Free Software does not mean Free Support • Vendors in Attendance: Significant Downsizing of Companies • Installer Wars and Airship • Ironic Push & MaaS Alliance • Developers Portability and Languages • Cross Community Compatibility • Only Tools are OpenStack • Final Event Thoughts
Joining us this week is Olivier Avaro, Founder & CEO Blacknut.
About Blacknut Blacknut aims to fundamentally change the video game industry by creating a service where users can access a vast catalog of curated games, play without limit across all devices, and no longer have the need for dedicated hardware, all for a simple subscription.
Using the latest cloud computing technology, Blacknut digitizes video games, delivering them through the cloud directly to smart devices such as televisions, tablets, and phones or through devices like set-top boxes and dongles.
Highlights: • Working at a Gaming Company • Game Streaming and Experience • Elimination of H/W Limitations for Modern Games • Delivery of Game from Cloud vs Edge • More than 50% of 5G traffic expected to be Gaming • Edge/Cloud Infrastructure Requirements • Virtualized Game Platform • Challenges in Building the Blacknut Platform
Discussion on the newly released "Data at the Edge" report from The State of the Edge community at https://www.stateoftheedge.com/
Joining us this week is Mark Thiele, Director Engineering Edge Computing, Ericsson and Host of IDCA Podcast.
Highlights: • Monopolies in IT • Restrictions in Innovation as everyone has same Cloud tools • Monopolies are not Good for Customers • Edge Push from Public Clouds • Learning from Edge Research • Will Edge Save us from Cloud Monopolies? • Telcos at Edge
Joining us this week is Patrick Pushor, Director of Sales and Field Engineering, Clear Blockchain Technologies.
Highlights: • Patrick’s Background in Cloud Computing (Public) • Why join Blockchain Startup? • Practical Blockchain Applications • Evolution Change in Commerce • Hype of Blockchain – e.g. Crypto Currency • Trusted Interactions – Prevent Fraud • Meeting Market Needs for Enterprise • SaaS Model vs Enterprise In-House Sale
Joining us this week is Adam Toll, Founder of Haste.
About Haste Haste is a network optimizer for video games, reducing lag, packet loss, and jitter to improve your gaming experience.
Highlights: • Adam History in pre-CDN technologies, streaming music, and gaming lag issues • How Solve Lag Issues over Network • Quality of Service and Multi-Path • Challenges w/ Cached Content and Real-Time Content • Edge Management with Network Unpredictability
Time Tracking • 0 min 50 sec: Introduction of Guest o Background on Satellite Communication in Early Days Leading to CDN o Early Streaming Music Technology Startup o Angel Investing Period • 8 min 8 sec: How to Fix Lag Issues? o Early Web and Rich Media Challenges ~ Content Distribution Networks o Haste Focused on Real-Time w/ User Generated Content that is Dynamic o Overlay Network Architecture ~ Spend Bandwidth to Achieve Performance • 13 min 14 sec: Quality of Service and Multi-Path o Anticipatory Gaming – Action Timestamps o Duplicating Traffic on 4 Separate Paths o 3 Layers: Infrastructure, Suite of Software Defined Networking Tools, & Software on Gaming Machine Locally Installed Caching Not Involved • 21 min 24 sec: Challenges of Out-Of-Date CDNs o Critical Issues Game Software Updates (Required) – Traditional CDN Active Game Play Stream – Haste Manages w/ EDGE GRAVITY by Ericsson o Local Haste Service – Monitor Streams to Ensure Fastest Access to Various Game Servers Ensure Awareness of Various Game Servers Availability • 28 min 52 sec: How Shape Edge Infrastructure Based on Network Unpredictability o Path Diversity is Significant o Improve ISP Delivery of Gaming Services by Adding Haste in ISP Networks o Dynamic Allocation of Gaming Services based on Player Location and Network Features • 39 min 23 sec: Wrap-Up
Rob Hirschfeld and Stephen Spector talk about the Software industry and how SaaS and other trends are killing the traditional software solution based on installation and management in your own data centers.
This is our 100th Podcast for L8istSh9y!
Highlights: • Open Source Project Health in QA and Quality • Escaping the Open Source Discrimination Cycle • Money in Open Source for Sustainability • Learning Patterns in Open Source • Crises in Open Source for Sustaining Projects • Open Source Foundations Need to Own Sustaining Engineering
Recap of the 2019 GDC event in San Francisco, CA last week. Our guests are Alan Evans, Sr Director Strategy, EDGE GRAVITY and Chetan Venkatesh, CEO, Marcometa.
Discussion includes thoughts on the Google Stadia announcement, Cloud Native development for gaming, and our thoughts on Genvid who we all agreed had standout technology.
Joining us this week is Eric Wright, Technology Evangelist, Turbonomic.
Highlights: • Discoposse Podcast • Discussion on Luke Kaines Article • Open Source Impact on IT Ops and Purchasing • Money Drives Operational Alignment • Sales as Organizational Improvements
Time Stamp • 0 min 6 sec: Introduction of Guest • 1 min 19 sec: Discoposse Podcast o History of Podcast o Canada – Brewers Retail • 6 min 07 sec: Luke Kaines Article, My Losing Battle with Enterprise Sales o Like Watching a Netflix Story Heading to an Unexpected Ending o Starts with Hard Lessons Learned – how not to do things Who are you building the product for? User or Purchaser Still early in our industry on how to build a product that doesn’t require enterprise sales o When is sales enterprise? How to define that? o You succeed on your ability to manage relationships of warring departments at the prospect’s company; it’s not the product that you are selling • 13 min 16 sec: Examples of Politics impacting sales o RackN and Internal Champions o Open Source allows customers to bypass their sales departments: dangers of this happening o Tour de France of IT Operations o Justify the cost of the product vs. value or the product • 21 min 05 sec: People take things seriously when money is being spent o Free consulting never gets used o Open source has less perceived value since its free but it’s not really free o Personal investment vs team investment in solution Disagreements add value to organizations Silos vs Cross-Silo Communications • 31 min 08 sec: How sell product communicating value to multiple groups via internal champions o Having to use software purchased already to get value o Have to pay for software, even free software Even open source software has commercial support that cost money o Always about building a team and communication • 40 min 25 sec: Wrap-Up
Joining us this week is Tricia Howard, Client Manager, Optiv for a special RANTCAST on Security.
About Optiv Optiv Security is a security solutions integrator that enables clients to reduce risk by taking a strategic approach to cybersecurity. Align your security program to achieve specific business outcomes with our full suite of service capabilities, from strategy to technology—and everything in between.
Highlights: • Security Rant • Data Privacy and Rights / Data Security • Companies and Storage/Security of Personal Data • Data is a Currency • Securing Systems and Data Leakage • Password Re-Use and Lack of Re-Use Impact on Vendors / SIM Hacking • Monopoly Power of Big Tech Companies & Gov’t Regulation • Dark Web – What is it? • Identity on Internet • Perimeter Security
Joining us this week is Sastry Malladi, CTO, FogHorn.
About FogHorn
FogHorn is a leading developer of edge intelligence software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building and connected vehicle applications. FogHorn and Lightning are trademarks of FogHorn Systems. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.
Highlights: • FogHorn Data Aggregation Technology for Devices • Edge is Constrained • Containers are Standard • IoT Standard Environment • Autonomy at the Edge • Edge Architecture Tradeoffs • Machine Learning
Rob Hirschfeld and Stephen Spector discuss a recent interaction Rob had with a senior IT executive who claimed a team of perfect employees and if anyone made a mistake they would be fired. Really?
It's time for a Rob rant in response to this management approach.
Joining us this week is Sriram Subramanian, Founder and Principal Analyst, CloudDon.
About Cloud Don
Sriram Subramanian is an independent analyst catalyzing modern enterprise IT Transformations. His primary area of coverage is how cloud computing/ container technology based services are impacting modern enterprise IT. His representative clients include vendors such as Red Hat, Microsoft, HPE, and end users in retail, fin tech and healthcare.
Service Mesh Event (18 min 45 sec) Service Mesh Day : March 28 – 29, 2019 Fairmont Hotel in San Francisco
Highlights: • Thoughts on late 2018 AWS ReInvent and KubeCon (Software vs SaaS) • Vendor Lock-In Hype • Service Mesh • Edge Computing
Highlights • 0 min 16 sec: Introduction of Guest • 1 min 33 sec: Impressions from AWS ReInvent and KubeCon 2018 o Software vs SaaS • 9 min 00 sec: Services Spun up Inside Kubernetes vs Vendor Lock-in o Over Hype of Vendor Lock-In? • 12 min 38 sec: Service Mesh o Why do I need Service Mesh on Kubernetes? o Enable Cloud-Native Paradigms o Kubernetes is not the Answer to Everything • 20 min 35 sec: Data Center Environment and Edge Computing o Is Kubernetes assumed for Edge? o LF Edge Announcement Podcast o Federation • 30 min 21 sec: Wrap-Up
Joining us this week is Daniel Lizio-Katzen, CEO Galactic Fog.
About Galactic Fog was founded in 2014 by veteran engineers with the goal of streamlining application development. As engineers, we have spent years designing, building and deploying applications for both startups and large enterprises. At Galactic Fog, one of our goals is to provide a platform for us to contribute back to the developer community by open-sourcing many of our foundational components. Galactic Fog’s core mission is to provide the systems that enable the design, development and cross-cloud operation of cloud-native apps through the use of enterprise grade function-as-a-service (FaaS) and container-as-a-service (CaaS) technologies. These apps should be resilient and declaratively integrated into any complex environment or configuration.
Highlights: • Function as a Service and Events • Operational Experience • Next Generation API Gateways • DevOps and Enterprises • Kubernetes as an Enterprise Platform • Edge is part of Galactic Fog
Joining us this week is Jim Clark, Chief Architect and Founder of Atomist. About Atomist
Our goal is to remove every last bit of unnecessary work that gets between you and shipping great software.
We created Atomist in 2015 with the goal of transforming how software is developed and delivered. We believe that developers should have tools to take care of the individual stages of that flow, and very importantly, a way to integrate, streamline, and automate the overall flow from code to ship. We started Atomist to build that platform for developers.
Highlights: • What and How of Atomist Technology • Delivery as a Workflow Issues • Automated Code Updates ~ e.g. Code Analysis • Software Delivery Machine
Rob Hirschfeld and Stephen Spector discuss two recent news articles on the failures of business models.
CNBC - https://cnb.cx/2DvySUw Tim O'Reilly - https://qz.com/1540608/
Joining us this week is Jeff Kim, CEO of Kmesh.io.
About Kmesh
KMesh.io sells software that transforms your centralized data into distributed data, which operates over multiple clouds, countries and edges as a single global namespace. Customers configure their business rules / data orchestration policies through the Kmesh portal and easily deploy their data over any cloud (production data on prem, backup data on AWS, AI/ML data on Google, IoT data on the Edge etc.)
Highlights: • Kubernetes Challenges for Stateful Data • Managing Stateful Data across Multiple Edge Devices • How Kmesh works with Luster ~ New Global Data Models • Kubernetes Limitations with Storage
Joining us this week is Arpit Joshipura, general manager, The Linux Foundation.
About LF Edge
LF Edge is a new umbrella organization that aims to establish open, interoperable frameworks for edge computing independent of hardware, silicon, cloud, or operating system. Launched in January 2019, LF Edge is comprised of existing Linux Foundation projects Akraino Edge Stack, EdgeX Foundry, and Open Glossary of Edge Computing, as well as the new Project EVE from ZEDEA and Home Edge Project from Samsung Electronics.
Highlights: • LF Edge Introduction • Collaboration b/w LF Edge and other Open Source Communities • Specific Projects in LF Edge at Launch • Difference b/w LF Foundation and OpenStack Foundation • Engaging with the LF Foundation • Telco Involvement
Joining us this week is Eric Fouarge, CTO at Root Level Technology.
About Root Level Root Level Technology is a cloud strategy partner. We are the seamless extension of your development and programming teams. We provide a concierge-style support experience for every client, no matter the size. We are an agile shop at the core, with a focus on Continuous Integration and Continuous Deployment. We are the hold your hand, wake us up at midnight, 5-star, real deal support clients have always wanted.
Highlights: • Discussion on Tools for Cloud Native • Business Needs and Microservices • Issues with New, Rapidly Developing Tools • Impact of Cloud Native on Operations/Development • Severless Alternatives to Lamda, etc
Joining us this week is Lee Atchison, Sr. Director of Strategic Architecture, New Relic. Author of Architecting for Scale on O’Reilly (link is not a tracked URL) and recent speaker at AWS ReInvent ’19 – Cloud Computing in an Edge World.
About New Relic New Relic gives you deep performance analytics for every part of your software environment. You can easily view and analyze massive amounts of data, and gain actionable insights in real-time. For your apps. For your users. For your business.
Highlights: • Impact of Edge on DevOps (People / Process / Tools) • No DevOps Shortcuts for Edge • Scaling Issues b/w Cloud and Edge • Application Updates at the Edge • Environment Awareness
Joining us this week is Mark Collier, Chief Operating Officer, OpenStack Foundation.
About OpenStack Foundation The OpenStack Foundation (OSF) supports the development and adoption of open infrastructure globally, across a community of 100,000 individuals in 187 countries, by hosting open source projects and communities of practice, including datacenter cloud, edge computing, NFV, CI/CD and container infrastructure.
Highlights: • Status of OpenStack from OpenStack Summit Berlin • State of Open Source from Licensing and Sustainability Perspective • History of Big Tent and Learnings for New Direction Moving Forward • Running OpenStack Foundation and Open Source Challenges • Multiple Open Source Projects working Together • Open Infrastructure Projects
The Open Infrastructure Summit that Mark mentioned will be held in Denver, Colorado from April 29-May 1. Registration is currently open.
Joining us this week is Sarbjeet Johal, Principal Advisor, The Batchery.
About The Batchery Founded in 2015, The Batchery is an Berkeley-based global incubator for seed stage entrepreneurs ready to take their startup to the next level. We are a community of veteran investors and advisers ready to provide you with ideas, insights, and networks. Our partnerships with law firms, technology providers, and other startup services means that you start building your company the minute you join us.
Highlights: • Latest in Data Centers and Hybrid Clouds • Amazon Announcement on Outpost and ReInvent Thoughts • Design Approaches of Cloud and Future Technology
Rob Hirschfeld and Stephen Spector, your L8istSh9y Podcast Team, wrap up 2018 with some overall thoughts of the past year of Podcasts and a quick preview of 2019 content and planning.
Joining us this week is Pavan Gupta, Software Architect and Kiran Divekar, Software Architect from Calsoft.
About Calsoft Founded in 1998, Calsoft provides end-to-end product development, quality assurance, product sustenance, and solution engineering services to assist customers in achieving their product development and business goals. Our deep domain knowledge across various verticals helps customers create exceptional products and get them to market on time and within budget. Calsoft’s deep technical expertise has led to the creation of several proprietary accelerators which are a huge hit among customers. Our niche skillset and intuitive engagement models are geared to meet the ever-evolving business needs of our customers.
Highlights: • NFV Overview and Importance in Telecom • NFV Usage and Use Cases • Edge Service Delivery
Joining us this week is Daniel Bartholomew, CTO and Founder of Section.
About Section Section offers a developer-centric, multi-purpose Edge PaaS solution that empowers web application engineers to run any workload, anywhere. Built to give developers the flexibility and control that they need, Section’s edge platform is infrastructure agnostic (cloud, on-premise, self-hosted), edge workload agnostic (caching, HTTP optimization, IoT, big data), and has changed the dynamics of traditional CDN and cloud.
Highlights: • Background of Section from CDN to Edge • How Section works • Developer Issues in Building for Edge Scale
Joining us this week is Chris Steffen, Cloud and Edge Security Guru. Follow him at @CloudSecChris and on his blog, The Security Beard.
Highlights: • Latest Update on Cloud Security • Core Challenges to Edge Security • Shared Data at the Edge Issues
Joining us this week is Michael DeHaan from Vespene.io, a modern, streamlined build and self-service automation platform.
Highlights: • Vespene Introduction ~ only 3 month old project • Open Source Licensing ~ is there a crisis? • How best to run an Open Source Project
Joining us this week is Janakiram MSV, founder and principal analyst at Janakiram & Associates.
Highlights: • Three Flavors of Edge with Focus on Device Edge • Who Builds Edge? Cloud Providers, Telcos, … • Is Kubernetes the Management Foundation for Edge?
Rob Hirschfeld was not able to attend the OpenStack Summit Berlin this November and present his talk on Edge Infrastructure. Instead, Rob has recorded his key messages about Edge Infrastructure focused on automation, limited access, and unskilled physical management.
Joining us this week is Dean Bubley, founder and director at Disruptive Analysis, an independent technology industry analyst and consulting firm.
Highlights: • Challenges of Power Requirements for Edge (Giga-Watts vs Milli-Watts) • Single Vendor vs Shared Data at the Edge • Shipping Container Takeover of All Things
This podcast is based on a recent article by Dean on NETMANIAS, Network-based Edge-Computing: Overhyped & Underpowered?
Highlights: • Develop on Docker Deploy on Kubernetes • Edge IT Infrastructure Use Cases and Kubernetes • Kubernetes as a Platform and Future Enhancements • Rancher OS Discussion
Joining us this week is Rob Lalonde, VP & General Manager, Navops at Univa.
About Univa
Univa is the leading independent provider of software-defined computing infrastructure and workload orchestration solutions.
Univa’s intelligent cluster management software increases efficiency while accelerating enterprise migration to hybrid clouds. We help hundreds of companies to manage thousands of applications and run billions of tasks every day.
Joining us this week is Dave Blakey, CEO and Co-Founder Snapt.
About Snapt
Snapt develops high-end solutions for application delivery. We provide load balancing, web acceleration, caching and security for critical services.
Rob Hirschfeld, CEO/Co-Founder of RackN and Greg Althaus, CTO/Co-Founder of RackN have a short discussion of the issue faced by DevOps and Operations teams finding time to investigate new technologies that could improve their day to day capabilities. In this discussion, time is more important than money.
Joining us this week is Antonio Pellegrino, Founder & CEO at Mutable.
About Mutable
Mutable helps software developers create scalable and fast web services by automating DevOps and providing edge technology all around the world.
Highlights 0 min 37 sec: Introduction of Guest 2 min 28 sec: High level description of the technology Cloud centralization is a problem; it needs to be decentralized Take over 100% or a partial amount of a machine added to the cloud network with special CoreOS based system 5 min 13 sec: Akash Network Donate your idle servers into an available system for usage in a cloud managed by Overclock Labs 2 Components – Blockchain for marketplace / Deployment platform 6 min 52 sec: How does marketplace work; who wants to use this network? Focus is on developers who want to use these systems
1 Reason – Cheaper than standard public clouds ; #2 Reason – Its distributed globally not at fixed known sites
10 min 26sec: Blockchain as decentralized ledger to avoid central store Join the infrastructure without a formal registration on a single database; only listening for bids not publishing what they offer History of the infrastructure is public for customers to evaluate 12 min 31 sec: How do I know where I am pushing my workloads? Can I trust the infrastructure provider? Issues arise with receiving workloads that are unknown to you 16 min 38 sec: What do I do to add a rack of servers into Akash network? What you need to do vs what you should do Management Server, Network Isolation, Monitoring Seasonal Load Model ~ Electric Grid Analogy 20 min 23 sec: Identify Geography and Latency to Customers? 21 min 23sec: What do I ensure I am not getting dropped or pulled into a bidding trap? Workload goes down it automates a bid elsewhere in the network Conditions can be set should you need a long running workload and it is terminated by the host Do you expect providers to monitor machines or do you as a service? 27 min 45 sec: Kubernetes Cluster across providers? Kubernetes Federation Why Kubernetes? Writing our own Kubernetes using Kubernetes 31 min 55 sec: Why not do this with Virtual Machines? Containers makes sense 32 min 40 sec: How long have you been working on this project? Why of the project? DISCO → Scheduler Decentralization is the key Can build a private infrastructure using their system 37 min 01 sec: Wrap-Up
Joining us this week is Syed Zaeem Hosain, CTO and Founder of Aeris from the KeyBanc Emerging Tech Summit.
Aeris is a technology partner with a proven history of helping companies unlock the value of IoT. For more than a decade, we’ve powered critical projects for some of the most demanding customers of IoT services. Aeris strives to fundamentally improve businesses by dramatically reducing costs, accelerating time-to-market, and enabling new revenue streams. Built from the ground up for IoT and globally tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler.
Joining us this week is Val Bercovici, Founder & CEO of PencilDATA at KeyBank Emerging Tech Summit.
About PencilDATA PencilDATA is a software-as-a-service startup embracing data governance allowing users to see and manipulate data easily. It achieves this with a blockchain ledger that accounts for all data activity, Highlights 0 min 48 sec: Introduction from Val Bercovici o Post – Blockchain in the Cloud by Rob Hirschfeld o Robotic Process Automation (RPA) 4 min 47 sec: What do you use Blockchain for? o Core to the value but is just an enabler 5 min 52 sec: Don't confused Blockchain with ICO/Crypto-currency o Blockchain rollouts in 2018 have paused ~ Gartner quote o HOMEWORK – Podcast with BlockChain Technology Partners o PencilDATA has built the S3 of Blockchains 10 min 08 sec: Blockchain Service or Acting on BC with distributed service? o Useful Zero Trust Solution o Autonomous Vehicle Taxi Service Use Case o Same workflow and processes needed for medical equipment 15 min 59 sec: Why Distributed Ledgers for these Use Cases? o Centralized authorities can be a single point of failure 19 min 51 sec: Data security issues around Veracity & Authentication o Data poison can train AI poorly o Explainable AI ~ Data Reproduce-ability; prove data is valid 25 min 54 sec: SalesForce Use Cases o Live on the SalesForce App Exchange o Launching at DreamForce 2018 with Customer References 27 min 18 sec: How PencilDATA provide value to SalesForce Customers? o SaaS Turnkey Solution that hides the behind the scenes work o Costs for Etherium usage 37 min 14 sec: Industrial IoT Use Case 37 min 31 sec: Wrap-Up
Joining us this week is Ash Young, Chief Evangelist of Cachengo and OPNFV Ambassador. Cachengo builds smart, predictive storage for machine learning.
NOTE – We had a microphone problem that is solved at the 9 minute 19 second mark of the podcast. Start there if you find the clicking noise an issue
Highlights
1 min 55 sec: Define Cloud from a CloudOps perspective Business Model and an Operations Model 3 min 59 sec: Update from Google Next 2018 event Google is the “Engineer's Cloud” Google's approach vs Amazon approach in feature design/release 9 min 55 sec: Early Amazon ~ no easy button Amazon educated the market as industry leader 12 min04 sec: What is the state of Hybrid? Do we need it? Complexity of systems leads to private, public as well as multiple cloud providers Open source enabled workloads to run on various clouds even if the cloud was not designed to support a type of workload Google's strategy is around open source in the cloud 14 min 12 sec: IBM visibility in open source and cloud market Didn't build cloud services (e.g. open a ticket to remap a VLAN) 16 min 40 sec: OpenStack tied to compete on service components Couldn't compete without Product Managers to guide developers Missed last mile between technology and customer Didn't want to take on the operational aspects of the customer 19 min 31 sec: Is innovation driven from listening to customers vs developers doing what they think is best? OpenStack is seen as legacy as customers look for Cloud Native Infrastructure OpenStack vs Kubernetes install time significance 22 min 44 sec: Google announcement of GKE for on-premises infrastructure Not really On-premise; more like Platform9 for OpenStack GKE solve end user experience and operational challenges to deliver it 26 min 07 sec: Edge IT replaces what is On-Premises IT Bullish on the future with Edge computing 27 min 27 sec: Who delivers control plane for edge? Recommends Open Source in control plan 28 min 29 sec: Current tech hides the infrastructure problems Someone still has to deal with the physical hardware 30 min 53 sec: Commercial driver for rapid Edge adoption 32 min 20 sec: CloudOps building software / next generation of BSS or OSS for telco Meet the needs of the cloud provider for flexibility in generating services with the ability to change the service backend provider Amazon is the new Win32 38 min 07 sec: Can customers install their own software? Will people buy software anymore? Compare payment models from Salesforce and Slack Google allowing customers to run their technology themselves of allow Google to manage it for you 40 min 43 sec: Wrap-Up
Joining us this week is Jason Hoffman, CEO MobiledgeX, a startup “creating a global marketplace for organizations to deliver and drive the business of these edge enabled services and products.”
Highlights Joyent – Cloud Computing’s Amiga Technology for You vs Technology for Customer How we Got Here and will Get to Edge Anchoring Edge into Current Needs Humans and Machines Integration – Computer Vision Software and Hardware Support and Aging Issues in House Mixed Reality solves Social issues of Smartphones Reality of Physics in Building the Edge ~ Battery Life is Killer App Network to Data Centric View Switch ~ Edge Data is the S3 of Cloud Lack of Understanding in Early Web Infrastructure vs Email Understanding Lack of Evolution in Hardware Provisioning - Evil Firmware Horrible Parenting Advice
VM Brasseur from Open Source Initiative along with Rob Hirschfeld and Stephen Spector talk about the license announcement made by Redis Labs to add Common Clause (https://redislabs.com/community/licenses/) to some of their software. Also discussed is the limited success of the Open Core business model.
Joining us this week is VM (Vicky) Brasseur from Open Source Initiative.
Highlights 1 min 20 sec: Types of Companies Supported Companies don’t know why they want to do open source 3 min 23 sec: Can’t Abandon Software into Community Communities don’t instantly form around your software 4 min 22 sec: Is Marketing “Evil” in Open Source Marketing has become associated with advertising which is invasive 5 min 19 sec: Define Marketing Discovering the needs of the market and build to support it Technologists don’t really understand marketing 6 min 17 sec: Issues of Marketing in Open Source What is your goal in using open source? 8 min 15 sec: Everyone has their own Goal in Open Source There is no bullet point list of how to do open source 9 min 29 sec: Issues of Accessing Projects and Support for Free Open source done a poor job of talking about value being provided People assume big projects are paid for by large companies so they take advantage 13 min 19 sec: Difficult to Tell New User’s End State as Communities Invest in Helping them Learn the Technology Some communities set the bar too high for user participation Open source does a bad job in documentation typically 17 min 9 sec: What about CI/CD Systems? Not a significant issue today in open source for contributors 19 min 21 sec: How help People Build Empathy for Users and Maintainers and Impact when Corporations are involved 21 min 29 sec: How Communities Manage Competitive Companies Working Together Foundations play a key role in managing these issues Open source is not corporate! The vast majority of open source is not corporate based Is there less concern for the tiny project’s vs the large corporate projects? Substantial lack of awareness of this in user community 25 min 04 sec: Price to a Community when a Customer Pulls out and Uses Corporate Version of Solution? Should companies pay for open source software they grab from community? Many ways to contribute other than money 27 min 56 sec: Business Continuity Issues in Open Source Free and open source software needs to be part of business continuity plans Vendor software solutions are equally risky as open source solutions 30 min 36 sec: Define Copyleft 4 Freedoms of Copyleft from Richard Stallman Can never change the license of Copyleft software 32 min 43 sec: Open Core Model Analogy of a restaurant with more tables than it can serve Proprietary products with open source APIs / SDKs
Rob Hirschfeld and Greg Althaus discuss their recent experiences with customers in truly understanding what provisioning is and what it is not. They even compare where the word provision comes from.
Joining us this week is Mathew Lodge, SVP of Products & Marketing of Anaconda.
Highlights • 2 min 57 sec: What does Anaconda do? o Help data scientists be productive & enterprise AI / Data Science • 3 min 36 sec: How do you interact with Anaconda? o About 2.5 million downloads a month of Anaconda Distribution o Install binary packages for data science to Python • 5 min 55 sec: Who are data scientists? o Data wrangling and understanding • 9 min 12 sec: Data Science as a verb o Understand how to turn data into actionable insight • 10 min 47 sec: How learn to use the tools? Community! o Community around Anaconda open source to share packages, etc • 13 min 26 sec: How does Anaconda change as AI/Machine Learning improve? o Python is standard language with R close behind for data science • 14 min 58 sec: Reproducibility in results o 16 min 01 sec: Model training issue? • 17 min 16 sec: Parking lot on Sam Charrington’s AI Bias Podcasts o TWiML & AI - https://twimlai.com/ • 17 min 43 sec: Training models for limited sets of data for reliability in Edge o Answer by example of Google ImageNet o 20 min 14 sec: Optimizations to reduce processing requirements Hey Siri example on how iPhone works o 22 min 03 sec: Do models improve over time? Transfer learning • 22 min 30 sec: Accelerative Learning in AI o Fashion example of layering learning o Issues around lack of data for training • 26 min 01 sec: Portability of models via Anaconda • 26 min 48 sec: Cloud Native Model of AI (no longer 2004) o Moved on from Java and distributed computing to Kubernetes o 29 min 05 sec: Giving up data locality (Hadoop) & specialized hardware? o 32 min 42 sec: Cloud model gives private and public options • 34 min 23 sec: How Anaconda play into the Cloud Native data science model? o Data scientists interested in data problems not cloud architecture o Data science as a Service o Kubernetes & Docker installed for you by Anaconda • 38 min 05 sec: WRAP UP o Anaconda Con Videos
Joining us this week is Yves Boudreau from Ericsson for his 2nd Podcast appearance (1st Podcast).
Highlights • Edge as an accelerant not having to wait until Edge is built completely • Opportunity Cost using Edge as is; no time to wait • Be Specific when Requesting Services • Internet and Networks are Not Unlimited Pipes • Interesting Use Cases for Edge – Augmented Reality, Drone, Cars, Batteries o Jason Hoffman Podcast for Batteries • Cost savings of where the data processing is done • Open Source software communities at the Edge
Joining us this week is Haseeb Budhani, Co-Founder and CEO, Rafay Systems.
Highlights • Building an application deployment platform as close to the Edge as possible • Supporting containers, microservices (move latency sensitive parts of app to Edge) and availability of infrastructure • Definition of Edge to Rafay Systems • Issues of massive amount of data at the Edge to be handled – Use Cases • Will Edge suffer from device specific infrastructure needs? • Application bottlenecks and impact of cloud locations and end user • Placement control of services is still an open issue based on user requirements • IT infrastructure and ownership and performance issues (IT vs Operation Teams) • Cloud and Edge are not competitive; they work together to offer applications best fit
Stephen Spector and Rob Hirschfeld offer commentary on the recent news about a Donkey in Egypt painted to be a Zebra at the local zoo. From this we have created the Donkey - Zebra concept of IT solutions, marketing and sales. Also add in a short discussion on a recent post that Google Cloud has an advantage in the marketplace because of open source; quick hint ~ we don't buy it.
Joining us this week is Richard Primeaux, Head of Product and Strategy, Hangar Technology.
Highlights • Cars are the wrong choice for autonomous vehicles – test out on autonomous drones for infrastructure projects (e.g. new buildings, cell towers, …) • Mission plans delivered to drone for execution as a robot • What is a robot? Difficult – Dangerous – High Degree of Repeatability – Dull Tasks • Robot is controlled from program that is run independent of a controller • 4-D visual insights delivered to customers • Robotics as a System ~ requires a great deal of components for success; not just electronics • What an Edge infrastructure will look like to support these robots • GPS accuracy is not enough for flying robotics • Supporting external influences that happen in real time • Building multi-vendor edges coordinating data • Discussion on how car automation can learn from drone automation
Joining us this week is Mike D. Kail, previously the CTO of Cybric and Yahoo’s CIO and SVP of Infrastructure.
Highlights • RANT Cast on Cybersecurity Regulations from Governments o Security is Important but NOT a Priority • Culture around Security is Lacking • Time for Security Tech to Include UI Testing and Consider User Experience • Confusing on Not-Working Security Settings and Profit Motives o Security thru Transparency • Accountability of Provider in Turning off Security based on Requests • Definition on Distributed Ledgers / Blockchain & Scalability Challenges • Promise of Blockchain and Good Application for It / Digital Identity • Zero Trust Security Overview • Equifax Example and Regulations
Joining us this week is James Ferguson, Director of Cloud Consulting, JBC Labs.
Highlights • Overview of JBC Labs’ Jump Box Central Kubernetes Solution • State of Kubernetes Today • Concept of Kubernetes as an Application Platform • Functions as a Service • Service Mesh and Kubernetes
In this recap, Rob Hirschfeld and Stephen Spector look back over the past year and 50 L8istSh9y podcasts. The discussion highlights the main themes of Edge Computing, DevOps and SRE, Open Source, and our new start into Blockchain. Follow our new Podcast blog athttps://medium.com/@l8istsh9y.
Joining us this week is Scott Lowe, Staff Field Engineer at Heptio recorded at Interop ITX 2018. Scott is well known for his impact on virtualization and VMware, follow him at his weblog and podcast called The Full Stack Journey.
Highlights • Coming new to container space and view of infrastructure within the stack • Why he chose Heptio and its transition up the stack away from virtualization • Heptio strategy? Open source based • Commercial strategy to support open source in Kubernetes • Monetization of open source projects challenges • Building applications to run on “standard” Kubernetes
Rob Hirschfeld and Stephen Spector review the newly released State of the Edge Report https://www.stateoftheedge.com). The report does require your email address to obtain and we basically go through the major content in the report and offer our thoughts.
Joining us this week is the team from Blockchain Technology Partners: Duncan-Johnston-Watt, Kevin O’Donnell, and Mike Zaccardo live from GlueCon 2018 in Colorado.
Blockchain Technology Partners is an Edinburgh-based technology startup: • Mission – to radically simplify the enterprise adoption of blockchain technologies • Goal - to reduce the cost and complexity of doing business through decentralization while ensuring trust, transparency and accountability in a distributed world • Focus – providing a production-ready blockchain platform and partnering with businesses to deliver blockchain-based solutions
Highlights • Who is Blockchain Technology Partners and Company Objectives • What is Blockchain: Distributed Transaction Log and Consensus • Decentralization of Ledgers and Centralization Weakness (Bitcoin e.g) • Use Cases for Blockchain • Publication Components of Blockchain; its Middle-Ware • Trusted Authorities and Broker Replacement (Shipping e.g.) • Edge Computing and Blockchain Examples • Data Responsibility and Local Blockchains • Blockchain Technology Partners Open Source Model and Technology
Joining us this week is Simon Crosby, CTO at SWIM.AI. Simon discusses the architecture for Edge and its differences from existing cloud infrastructure and how the SWIM.AI solution meets the needs for Edge services.
Highlights • Challenges in Edge • Data is Complete Disruption in Current Models • Don’t Train in Cloud for Edge; Instead Learn on Fly • All About Data – Apps can’t be Written for Data Specifically • Example of Sensor Model at Traffic Light in Self-Learning Model • Digital Twin Concept & Actor Model • SWIM.AI Innovation ~ always as though its local • Independent Management of Latency and Resource Utilization • Write the Program from the Data • Example of Manufacturer with Millions of RFID Tags • Limitations of Having People Involved in Everything
Joining us this week is Matt Trifiro, CMO of Vapor.io. Matt offers insight into how Edge infrastructure and 5G will be deployed to meet the increased demand for low latency, high data distributed technology.
Highlights • Edge is a place: the last mile network • Jitter at the Edge (Jitter definition) • Data sovereignty and location • Apps for Edge have are not similar to existing apps for communication processes • Edge as multi-vendor data sharing environment • Real estate problem – solved by Akamai • Vision of schedulers on keeping apps running vs keeping apps fast • Cloud providers will extend into the Edge • Augmented reality discussion of video and latency (Digital Twin) • Importance of 5G to Edge and commercial impact • Real estate is key in Edge computing • Building and Managing Edge infrastructure • What does Vapor do?
Joining us this week is Rich Miller, CEO and Managing Director of Telematica, Inc.
Highlights • GitHub and Microsoft Discussion ~ Why is GitHub so Valuable? • Evolution of Open Source and its Commercial Aspects • Monetization of Open Source Depends on Services for Success • Container Management and Marketplace for Innovation • ISV Ecosystem ~ All About Big Money and the New Tech Investment Thesis • Multi-Platforms / Multi-CSP Change the Nature of Innovation from the Independents • Edge Computing will Disrupt the Locus of Opportunities • The Edge Marketplace and Cloud Platform Marketplace Must Appear Unified to Developers • Edge Infrastructure Multi-Tenancy and Development Challenges • Distributed Ledger at Edge is the Killer Edge App • How will Cloud, Blockchain and Edge be Driven toward Integration in the Future? Email Example
Joining us this week is Chris Short, Senior DevOps Advocate, SJ Technologies. Chris is also a CNCF Ambassador managing an excellent newsletter, DevOps’ish.
Highlights • Site Reliability Engineering & DevOps relationship & philosophy • SRE details in budgets, toil, and security • Pipeline infrastructure, configuration management, and immutability • Cultural aspects of DevOps • Why Kubernetes? Ecosystems? Build for Kubernetes apps • SaaS vs Licensing models (answer to all things software)
Joining us this week is Aaron Delp, Director of Technical Solutions, Cohesity. Aaron and Brian Gracely manage the well-known podcast, The Cloudcast, with over 340 podcasts.
Highlights • Data returns to the data center in data transformation • Best of breed world and impact of refresh cycles on hardware and software • Data in the edge and hardware processors at the edge • Latency issues for long haul data center(s) storage & Metadata about location • Fragmented market coming for multi-vendor IoT processing? • Is open source a good model for vendors? Issue on monetization of open source o Crossing the Chasm by Geoffrey Moore • Commercial drivers impact on open source sustainability • Community vs Ecosystem
Joining us this week is Jordan Rinke, Principal Software Engineer, Walmart Labs. Jordan offers his views on various technologies and open source projects as it relates to the scale and connectivity issues faced by Walmart.
Highlights • Technical Gaps in Kubernetes Technologies and Installer Issues • Tooling and Orchestration Focus for Kubernetes and Other Tools • Core OS Model for Bootstrapping Kubernetes • Discussion on Immutability: Middle Ground for Jordan • Edge Computing – Emerging markets lead to disconnected edge sites • Data location challenges in edge and cloud services • Skills issues for medium sized clusters
Joining us this week is Christine Yen, Co-founder at Honeycomb coming from a recording at SRECon Americas in March 2018 at Santa Clara Convention Center Hyatt.
Highlights • Understanding of what developer tools are today • Observability vs Monitoring • Instrumenting Apps for Diagnostics to help Developers do More • Tool to build not just better engineers but teams as well to support customers • Brief history of Honeycomb and where it came from (Parse and Facebook) • How debug containers that are most likely gone by time problem arises? • AI / Machine Learning – can it really help today? • 2nd Wave of DevOps • Impact of listening to users at a startup – people problems vs technology
Joining us this week is Chetan Venkatesh, CEO/President of Macrometa, a stealth startup. Chetan is actively engaged in the data issues for edge computing and provides insight into the reality of edge computing and its changes in application development and delivery.
Highlights • Overview of Edge Computing and Chetan’s 3 Edges • Internet of things, gateways and data aggregation • Can Telcos compete against cloud providers? • How apps handle massive scale? Developer’s support? Distributed architecture? • Multi-tenancy impact on edge infrastructure? • Re-think where data resides to support user location • What is possible with IoT is unknown • What are the first movers in the edge computing space?
Joining us this week is Baruch Sadogursky, Head of Developer Relations at JFrog. Baruch is an industry veteran in management of complex software and is a fantastic event speaker; I highly recommend attending his sessions at a future event. Short promotion for JFrog Swamp Up (May 16 – 18, 2018)
Highlights • Short overview of JFrog and its relationship to CI/CD pipelines • Discussion of immutability (shifting left) in deployment paradigms • Metadata and the impact of scale (Toyota Manufacturing Model) • How can I update software components with confidence? • Distributed programming and impact of edge computing
Joining us this week is Mark Imbriaco, Global CTO DevOps, Pivotal. Mark’s view of ops and open source from a platform perspective as it relates to SRE offers listeners a high-level approach to these concepts that is not often heard.
Highlights • Site Reliability Engineering – Introduction and Advanced Discussion • Edge Computing from Platform View • Open Source Projects vs Products and Sustainability • Monetization of Open Source Matters
Joining us this week is John Willis, VP DevOps and Digital Practices, SJ Technologies known for many things including being at the initial DevOps meeting in Europe, co-founder of the DevOpsDays events, and the DevOps Café podcast.
Highlights • Introduction to the Phoenix Project and the new audio Beyond the Phoenix Project • Docker discussion and the issues around its success based on the ecosystem success • Docker vs operation split for two different audiences • Issue of sustaining open source technology and lack of financing to support this • Revenue arc vs viral adoption for open source model • Three reasons to choose open source model for software
Joining us this week is Erica Windisch, Founder/CTO at IOpipe, a high fidelity metrics and monitoring service which allows you to see inside AWS Lambda functions for better insights into the daily operations and development of severless applications.
Highlights • Intro of AWS Lambda and IOpipe • Discussion of Observability and Opaqueness of Serverless • Edge Computing Definition and Vision • End of Operating Systems and Abstraction Boundaries
In this week’s podcast, we speak with Justin Garrison, co-author of Cloud Native Infrastructure (CNI).
• Behind scenes for O’Reilly book and choice of cover animal • Infrastructure and CNI approach • State and Immutability / Immutable VM • Terraform and Kubernetes • Observability • The Why of Immutability • Infrastructure as Software (Netflix) • Site Reliability Engineering and DevOps
Joining us this week is Dave Nielsen, Head of Ecosystem Programs at Redis Labs. Dave provides background on the Redis project and discusses ideas for using Redis in edge devices.
Highlights • Background of Redis project and Redis Labs • Redis and Edge Computing • Where is the Edge? • Raspberry Pi for edge devices? It’s about management • Wasteland of IT management at the edge
Joining us this week is Oliver Gould, CTO Buoyant who provides a service mesh abstraction view to micro-services and Kubernetes. Oliver and Rob also take a look at how applications are managed at the edge and highlights the future roadmap for Conduit.
Highlights • Defining microservices and Kubernetes from Buoyant viewpoint • Service mesh abstractions at a request level (load balance, get, put, …) • Conduit overview – client-side load balancing • Service mesh tool comparisons • Edge Computing discussion from service mesh view
Joining us this week is Yadin Porter de León (@porterdeleon), IT Community at Druva as well as from the Level Up Project and host of the Tech Village podcast.
Highlights " Open Source Communities and the People " Relationship of Corporations in Open Source and Community " Users of Open Source care about Community? " Community's should FOCUS and not overlap to adjacencies
In this week's podcast, we speak with Kong Yang, Head Geek at SolarWinds. He also hosts the Wide World of Tech podcast. Key topics discussed in the podcast:
" State of cloud computing ~ entering its golden age " IT & business units coming together to deal with shadow IT responsibly " Building technology on services with no control over them " CI/CD model " Operators skills and time available " Human aspect
Joining us this week is Eric Wright, Director Technical Marketing/Evangelist at Turbonomic and podcaster/evangelist at Discoposse.com.
Highlights " RANT on Cloud Terminology w/ new terms "DevOpsishFullStackishness" & "Woke IT" " Open Source communities, vendors, and value of users " Edge Computing - Definition, Turbonomic Role in Cloud/Edge " Edge and Cloud are Hybrid - Embrace multiple paradigms including legacy " Discussion of Go language and RackN usage
In this week's podcast, we speak with Nic Jackson, Developer Advocate, HashiCorp (@sheriffjackson). Nic provides insight into the product and development philosophy of HashiCorp and how it impacts their products and open source components. The last section of the podcast on product feature limitations and how companies go too far is very interesting.
" HashiCorp Overview and Design Philosophy of their Solutions " Company vs Community Open Source Comparison in Terraform " Abstractions and Portability Failings " Product Features and Doing Too Much
In this week's podcast, we speak with Gina Rosenthal (Minks), Product Marketing Manager, VMware and experienced sys-admin/operator. She also hosts the Wide World of Tech podcast.
" Cloud debate on virtualization and hypervisors as requirement " What makes Ops so hard? " Technical Communities for Day 2 Ops " Community Support for Vendors and Open Source " Is DevOps different than 5 years ago? " Devs and Operators Communication and Working Together
In this week's podcast, we speak with Paul Teich, Principal Analyst, Tirias Research. Paul offered his insight into several key industry trends as well as the recent Spectre and Meltdown discoveries.
- Spectre and Meltdown - Will this drive additional security focus?
- Augmented Reality and AI is the holy grail of Edge and Cloud
- Capabilities of 5G and its impact over next 10 years
- Why is Hyper Converged Infrastructure popular?
Coming direct from Cambodia is a rare podcast with Jim Plamondon, the creator of how software platforms were built at Microsoft via APIs and developer evangelism. In this podcast, he talks about the early history of developer evangelism at Apple and Microsoft, the current state of open source, and the upcoming competitive industry coming from China and its roots in the third world.
Highlights * Soviet Agriculture and Technology Market Comparison * Why NeXT and Apple Failed with Software Industry but iPhone Succeeded * China Industry Takeover is Coming: Product Price Points
Books referenced in the podcast: * Game of X v.1: Xbox (Volume 1) by Rusel DeMaria * Game of X v.2: The Long Road to Xbox (Volume 2) by Rusel DeMaria
Note - If you are easily offended by language please consider skipping this podcast
In this week's podcast, we speak with Tim Crawford from AVOA who is ranked as one of the Top 100 Most Influential Chief Technology Officers (#4) and Top 100 Cloud Expert and Influencer. He focuses on several interesting topics:
- CIO selection of new technology for enterprise
- Challenges for Enterprise to patch and upgrade software/hardware
- Edge Computing - what it is, CIO thinking
- Vendor Landscape
- Open Source for CIOs - when to use and why
Podcast Participants: Tim Crawford on Twitter: www.twitter.com/tcrawford Stephen Spector on Twitter: www.twitter.com/spectorID Rob Hirschfeld on Twitter: www.twitter.com/zehicle
Subscribe to L8istSh9y: SoundCloud : www.l8istSh9y.com iTunes : https://itunes.apple.com/us/podcast/l8ist-sh9y-podcast/id1276764266?mt=2 Stitcher : http://www.stitcher.com/s?fid=165143&refid=stpr Podcast.com : http://www.podcasts.com/l8ist-sh9y-podcast-80
In this week’s podcast, we speak with Dave McCrory, VP of Engineering for Machine Learning at GE Digital. He focuses on several interesting topics:
• Data Gravity Overview • Data “Training” – Monetization – Application Usage in Edge • Multi-Tenancy in Edge?
In this week’s podcast, we speak with Stephen O’Donnell, Senior Analyst for Global Hive and author of What Every CIO Wants. He focuses on several interesting topics:
• Building Massively Scalable Datacenters • What is the Edge? Complete 25 Use Case Definition • Enterprise Datacenters Move to Edge • Layering Solutions on Edge Services
In this week’s podcast, we speak with Dr. Will Venters an Assistant Professor at London School of Economics and co-author of Moving to the Cloud Corporation. This podcast focuses on the changes in innovation in the era of cloud computing, impact of data for edge computing and design, and cargo cult.
Welcome to the final L8istSh9y Podcast for 2017 with a recap of Rob Hirschfeld’s predictions for 2017 (2016 Infrastructure Revolt makes 2017 the “year of the IT Escape Clause”) as well as a look ahead into 2018. Key topics covered in the podcast:
Hybrid is Reality; How do I Cope with it? Site Reliability Engineering; People are Just Doing it Bare Metal to Immutable Images Virtualization Decline with Bare Metal Growth 2018 is not the Year of Serverless Edge Computing Still Not Ready for Prime Time OpenStack Foundation as Open Infrastructure Group
In this week’s L8ist Sh9y Podcast, we bring on the Digital Rebar team at RackN to discuss several issues they have working on over the past few months:
- Patch Rest APIs and CLI : Scaling Challenges Require Patch
- Swagger API History and Changes : No CLI Generation
- Integrations to Existing Tools up the Stack
In this week’s podcast, Chris Steffen, Technical Security Director at Cryptzone joins Rob Hirschfeld and myself to cover the latest topics in cloud, edge and data security. Chris is a well-respected cloud security expert with practical experience securing large infrastructures as well as an excellent speaker and influencer on all things security,
Key Highlights:
• Current State of Cloud Security • Where & What is On-Premises? • Hardware Security and Lack of Industry Use • Coming of GDPR (General Data Protection Regulation from European Union) and Impact on US and Global Industry
Joining us this week is Keith Townsend, The CTO Advisor, for a joint podcast of the L8ist Sh9y and CTO Advisor Podcast. Keith and Rob discuss the Edge Computing concept and several issues facing enterprise companies looking to move beyond the current cloud offerings.
In this week’s L8ist Sh9y podcast Krishnan Subramanian, Founder and Chief Research Advisor of Rishidot Research talks about Edge Computing, the Kubernetes Ecosystem and the Composable Enterprise. Key highlights: ` • “Multi-Cloud is the foundation of Modern Enterprise” – Krishnan • Kubernetes ecosystem and the possibility that Serverless could replace it • IT innovation requires a composalbe and layered approach, without this approach IT will find themselves trapped in a hard-wired infrastructure unable to move forward
Joining this week’s L8ist Sh9y Podcast is Peter Miron, General Manager for NATS project sponsored by Apcera provides details on this open source project how it integrates with modern application architecture as well as their participation in Cloud Native Foundation.
Joining this week’s L8ist Sh9y Podcast is Yves Boudreau, VP or Partnerships and Ecosystem Strategy at Ericsson. Rob Hirschfeld and Yves discuss the Ericsson Unified Delivery Network platform and the concept of a global content provider service built on heterogeneous infrastructure. Yves also provides insight into want webscale customers are looking for in the Edge as they give thought around balancing their applications from public cloud services to future edge clouds. Finally, Rob and Yves talk about the coming fundamental change in how software is created and run “independent” of hardware.”
Joining this week’s L8ist Sh9y Podcast is Zach Smith, CEO of Packet and long-time champion of bare metal hardware. Rob Hirschfeld and Zach discuss the trends in bare metal, the impact of AWS changing the way developers view infrastructure, and issues between networking and server groups in IT organizations.
Joining this week’s L8ist Sh9y Podcast is Bernard Golden, a long-time tech innovator and visionary and one of the ten most influential people in cloud computing according to Wired.com. Bernard and Rob Hirschfeld discuss the latest blog (http://bernardgolden.com/2017/10/edge-computing-and-the-death-of-cloud-nonsense/) from Bernard and the impact of Edge Computing and the reality of implementing this concept. We are also introduced to the Container Hotel.
Joining this week’s L8ist Sh9y Podcast is Will Dennis long-time member of the Crowbar community who continues to engage in helping drive Digital Rebar forward. Will is an excellent resource who takes us through the history from Crowbar to Digital Rebar Provision in a way that highlights how the project has changed and why the community scaled back from V2 to the new V3.1.
Rob Hirschfeld talks with David Linthiucm, SVP Cloud Technology Partners on a variety of Cloud related topics including DevOps, Containers, Edge Computing, etc.
Rob Hirschfeld, CEO/Co-Founder of RackN speaks with Mark Thiele, Chief Strategy and CIO of Apcera on a variety of cloud and DevOps related topics including Mark’s recent blog post, Why Adoption of Public Cloud Likely Won’t Exceed 17 Percent of Total IT Demand by 2022.
Rob Hirschfeld reviews last week's Gartner Symposium event and his thoughts on IT disruption based on several presentations at the event.
Rob Hirschfeld, Co-Founder/CEO of RackN announces the availability of the RackN beta program. This solution allows operators to leverage the open source Digital Rebar Provision tool for physical hardware and cloud provisioning in the data center.
Rob Hirschfeld, Co-Founder/CEO of RackN discusses the challenges of DevOps from the CIO and Operator viewpoint and how it is critical for each group to better understand the issues they each face. Only then can a true DevOps experience be had.
Rob Hirschfeld, Co-Founder/CEO of RackN announces the availability of Digital Rebar Provision 3.1 providing fast, secure, open physical provisioning in the datacenter. Learn more at http://rebar.digital.
Rob Hirschfeld provides his thoughts from last week's OpenStack OpenDev conference focused on Edge Computing. This podcast is part of a three blog series from Rob on the issues surrounding Edge and Cloud computing. The first blog is at https://www.rackn.com/2017/09/13/openstack-edge-4-ways-edge-distinct-cloud/,
Stephen Spector, HPE Cloud Evangelist talks with Rob Hirschfeld, Co-Founder and CEO RackN about the installation process for Kubernetes using Kubespray, Ansbile, and Digital Rebar Provisioning. Additional commentary on the overviews of Kubernetes, Containers, and Installation in this podcast.
Stephen Spector, HPE Cloud Evangelist talks with Greg Althaus, CTO and Co-Founder of RackN about how the Digital Rebar Provisioning solution provides bare metal server support for the HashiCorp Terraform Solution.
Rob Hirschfeld, CEO and Co-Founder, RackN talks with Stephen Spector, HPE Cloud Evangelist about the recent uptake in Ansible news as well as how Digital Rebar Provision assists Ansible users.