O'Reilly Media Podcast: Recent Episodes
O'Reilly Radar
The O'Reilly Media Podcast spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. The O'Reilly Media Podcast features interviews with the people working on the forefront of technology.
In this interview, Tim Craig and fellow Googler Gustavo Franco, a site reliability engineer (SRE), discuss the wide range of events that qualify as “incidents;” the need for a conscious, robust, and well-defined process for understanding them; the role of training; and how to get buy-in from management so you can spread incident response training throughout an organization.
At Google’s 2019 Cloud Next conference, I sat down with Stephen Thorne, site reliability engineer on Google’s customer reliability engineering team and co-author of "The Site Reliability Workbook," to talk about how organizations, both large and small, can use SRE to reduce operational costs, improve reliability, and create productive cross-functional teams.
This episode of the O’Reilly Podcast, features a conversation on serverless and Kubernetes, with Kelsey Hightower, developer advocate for Google Cloud Platform at Google (and co-author of "Kubernetes: Up and Running"), and Chris Gaun, Kubernetes product marketing manager at Mesosphere.
In this episode of the O’Reilly Media Podcast, Rachel Roumeliotis, VP of content strategy at O’Reilly, sat down with Daniel Krook, IBM developer advocate. They discussed how developers across industries can participate in the Call for Code initiative, the benefits of the program, support from its charitable partners—United Nations Human Rights and the American Red Cross—and the positive impacts IBM hopes to achieve by investing in Call for Code.
In a recent episode of the O’Reilly Media Podcast, we spoke with George Miranda about the importance of service mesh technology in creating reliable distributed systems. As discussed in the new report The Service Mesh: Resilient Service-to-Service Communication for Cloud Applications, service mesh technology has emerged as a popular tool for companies looking to build cloud-native applications that are reliable and secure.
During the podcast, we discussed the problems a service mesh infrastructure solves and the service mesh features you’ll find most valuable. We also talked about how to choose the right service mesh for your organization, the challenges involved in getting it deployed to production, and the best ways for getting started with a service mesh.
In this episode of the O’Reilly Podcast, I talk with Tammy Butow, a site reliability engineer at Gremlin, and Annie Lau, a software engineering manager at Trulia, about creating a culture of learning, how experimentation is important to business, and their careers in tech.
In this episode of the O’Reilly Podcast, I talk with Cory Doctorow, who is a science fiction author, editor of Boing Boing, the former European director of the Electronic Frontier Foundation (EFF), and currently a special advisor for the EFF. Doctorow will be a keynote speaker at the O’Reilly Fluent Conference, July 11-14, 2018, in San Jose.
In this episode of the O’Reilly Media Podcast, I talk with JP Phillips, platform engineer at IBM Cloud. IBM is driving development in the container space, as shown through last year’s launch of Istio, an open cloud service that allows developers to connect, manage, and secure networks of different microservices. Istio, a joint collaboration between IBM, Google, and Lyft, (in conjunction with the Cloud Native Computing Foundation), is platform agnostic and runs on Kubernetes platforms, such as IBM’s Cloud Container Service. Interest in the platform is growing. IBM's Daniel Berg, who is giving a talk on Istio at the upcoming OSCON conference in Portland, recently led a hands-on workshop at KubeCon in Copenhagen to help developers learn how Istio can solve common challenges with microservices deployed within Kubernetes.
In this episode of the O’Reilly Podcast, I talk with Brendan Eich, the creator of JavaScript, co-founder of the Mozilla Project and Foundation, and CEO and founder of Brave Software. Eich will be a keynote speaker at the upcoming O’Reilly Fluent Conference, July 11-14, 2018, in San Jose.
In this episode of the O’Reilly Podcast, I talk with Simon Moss, vice president of industry consulting and solutions, Americas, at Teradata. We discuss how machine learning and deep learning techniques are being used to fight financial crimes, such as credit card fraud, identity theft, health care fraud, and money laundering.
In this episode of the O’Reilly Podcast, I talk about issues surrounding stateful containers and services with Tobi Knaup, CTO and co-founder of Mesosphere, whose DC/OS is a platform for deploying stateful and stateless applications on any combination of infrastructure, and Gou Rao, CTO of Portworx, a provider of persistent storage for containers.
Modern-day DNS goes beyond a simple internet “phone book” service to provide dynamic traffic management, flexibility, and performance. In this episode of the O’Reilly podcast, I had a chance to discuss modern-day DNS and its role in building resilient infrastructure with Gary Sloper, VP of global sales engineering at Dyn.
In this O’Reilly Podcast, Rachel Roumeliotis, vice president of content strategy at O’Reilly Media, speaks with Atif Kureishy, global VP of emerging practices and artificial intelligence and deep learning at Teradata, a data and analytics company. They discuss how enterprises are currently investing in artificial intelligence (AI), which industries are seeing the most impact, barriers to AI implementation, and future trends.
In this episode of the O’Reilly Media Podcast, I spoke with Gayle Sheppard, vice president and general manager of Saffron AI Group at Intel, and David Thomas, chief analytics officer for Bank of New Zealand (BNZ). Our conversations centered around the utility of artificial intelligence in the financial services industry.
In this episode of the O’Reilly Media Podcast, I spoke with Gayle Sheppard, vice president and general manager of Saffron AI Group at Intel, and David Thomas, chief analytics officer for Bank of New Zealand (BNZ). Our conversations centered around the utility of artificial intelligence in the financial services industry.
In a recent episode of the O’Reilly Media Podcast, David Hsieh, senior vice president of marketing at Qubole, sat down with John Slocum, vice president of MediaMath’s data management platform (DMP), to discuss DataOps in the media industry. “DataOps” refers to the promotion of communication between formerly siloed data, teams, and systems. As discussed in "Creating a Data-Driven Enterprise with DataOps," a report published by Qubole and O’Reilly in 2016, DataOps leverages process change, organizational realignment, and technology to facilitate relationships between everyone who handles data: developers, data engineers, data scientists, analysts, and business users. As a programmatic advertising platform, MediaMath has a unique lens into the shifting business models across the media industry, and how DataOps is playing a role in those shifts.
During the podcast, Hsieh and Slocum discussed how data has transformed the culture and overall goals of organizations in the media industry in the past 10 years, and shared some best practices for companies that are just embarking on their journey toward becoming data driven.
In this episode of the O’Reilly Podcast, I speak with Amit Vij, CEO and co-founder of Kinetica, a company that has developed an analytics database that uses graphics processing units (GPUs). We talk about how organizations are using GPU-accelerated databases to converge artificial intelligence (AI) and business intelligence (BI) on a single platform.
In this episode of the O’Reilly podcast, I speak with Han Yang, senior product manager at Cisco, working on analytics solutions. We discuss the impact of data analytics across industries, building data lifecycles for Internet of Things (IoT) applications, and advice for establishing successful analytics and machine learning projects.
In this podcast episode, I speak with Gary Orenstein, chief marketing officer at MemSQL, a platform for real-time analytics that combines a database, a data warehouse, and streaming workloads into one system. We discuss trends that are driving advancements in data warehousing, how related technologies are changing as machine learning and AI evolve, and example use cases across industries.
In this podcast episode, O’Reilly’s Shannon Cutt talks with Damon Feldman, solutions director at MarkLogic, a company that has developed an operational and transactional NoSQL database that integrates data silos to give customers a single view of their data. They discuss data lakes, data hubs, integrating data in a lake format, data governance related to security, and more.
One of the paradoxes of artificial intelligence is that the companies poised to make the most of it are those with the most data: enterprises; yet, they have the most institutional and organizational difficulties to overcome to do so. In this episode of the O’Reilly podcast, I had a chance to discuss the challenges with someone whose job it is to tackle these issues—Ron Bodkin, VP and general manager of artificial intelligence at Teradata.
In this podcast episode, I speak with Dave Cassel, technical community manager at MarkLogic, creator of a multi-model NoSQL database that aims to integrate data silos for a unified view. We talked about integration patterns for loading and exporting data at ease, an architecture that enables efficient search and queries, and layers of security that follow the data from its original source throughout its lifecycle.
In this podcast episode, I speak with Eliot Knudsen, data science lead at Tamr, a company that uses AI to integrate data across silos. Data integration is often a painstaking, highly manual process of matching fields and resolving entities, but new tools can work alongside human experts to discover patterns in data and make recommendations for automatically merging it.
In this podcast episode, O’Reilly’s Jeff Bleiel talks with Chris Stetson, chief architect and head of engineering at NGINX. They discuss Stetson’s experiences working on microservices-based systems and how a microservices reference architecture can ease a development team’s pain when shifting from a monolithic application to many individualized microservices.
In this podcast episode, I talk about reactive microservice deployments with Edward Callahan, a senior engineer with Lightbend. We discuss the difference between a normal deployment pipeline and one that’s fully reactive, as well as the impact reactive deployments have on software teams.
My guest in this podcast episode is Stewart Rogers, director of product management at Lambda Solutions, which offers an open source e-learning management system; its customers are organizations that deliver online learning and need to understand how their students are progressing. Rogers is thus doubly dependent on embedded analytics in his products: he uses analytics to manage his products, measuring customer response to new features, but he also needs to pass meaningful analytics through to his customers in order to let them assess their learners and their content.
In this episode of the O’Reilly Podcast, Brian Anderson talks with Larry Haig, author of the recent O'Reilly book "Frontend Optimization Handbook." They discuss the relationship between web performance and customer experience (and why it’s important), solutions for optimizing web performance, and advice for those just embarking on their web performance journey.
In this podcast episode (see Part 1 and Part 2), I speak with Andy Hickl, chief product officer at Intel Saffron Cognitive Solutions Group. Our subject: common sources of bias in artificial intelligence—and how to identify and address them by using transparent AI methods.
In this podcast episode (see Part 1 and Part 2), I speak with Andy Hickl, chief product officer at Intel Saffron Cognitive Solutions Group. Our subject: common sources of bias in artificial intelligence—and how to identify and address them by using transparent AI methods.
In this podcast episode, Ken Krupa, enterprise CTO at MarkLogic, walks me through the challenge of data integration and outlines an approach for dealing with it known as the “operational data hub.”
The growth of the consumer Internet has left many companies awash in analytics data. In this O’Reilly Podcast episode, I talk with William Plummer, chief strategy officer at TalkingData, about how to make sense of it.
Plummer’s key message is that companies need to embrace what he calls “smart data.” Smart data is an evolution of the “big data” idea that enterprises have been pursuing for about a decade now. Plummer links smart data to the two developments that have transformed the practice of data science over the last couple of decades: the arrival of nearly universal connectivity and the advent of the consumer internet.
In this podcast episode, O’Reilly’s Jeff Bleiel talks with Jan Machacek, CTO at Cake Solutions, a global consulting firm that specializes in building reactive systems. They discuss Machacek’s experiences in building reactive microservice-based systems and how these systems can help companies keep up with changing business demands.
In this podcast episode, I speak with Ian Fyfe, senior director for product marketing at Zoomdata, about the next generation of business intelligence software and how it addresses what Fyfe calls “the modern world of big and streaming data.”
In this podcast episode, I talk about fast data processing and reactive systems with Karl Wehden, director of product management at Lightbend. If this conversation gets you interested in fast data processing and reactive systems, be sure to check out Tom Peck’s live webcast on March 28, 2017.
In this episode of the O’Reilly podcast, Jon Bruner sat down with Rahul Kamdar, director of product management and strategy at TIBCO Software. They discussed the shift from the centralized enterprise service bus (ESB) to a distributed data architecture based on microservices, APIs, and cloud-native applications.
Machine learning has been a mainstream commercial field for some time now, but it’s going through an important acceleration. In this podcast episode, I talk about that acceleration with two executives from MemSQL, a company that specializes in in-memory databases: Gary Orenstein, MemSQL chief marketing officer, and Drew Paroski, MemSQL vice president of engineering.
Telcos are facing massive challenges stemming from new customer usage patterns, the rise of over-the-top (OTT) services, and a stagnant subscriber base. In this interview, O’Reilly’s Jon Bruner sat down with Dheeraj Remella, director of solutions architecture at VoltDB, to discuss how telcos must compete in the current industry landscape by using big data to regain value from OTT services and capitalizing on their infrastructure investment with the Internet of Things and augmented and virtual reality.
Sophisticated analytics need sophisticated interpretation in order to be valuable. In this podcast episode, I speak with John Thuma, director of strategy for Aster Analytics at Teradata, about how businesses need to plan and implement advanced analytics in order to get the results they want.
In this podcast episode, I walk through an introduction to ecosystem data architecture with Bob Montemurro, senior partner for architecture services in the international region for Teradata.
In this episode of the O’Reilly podcast, I talk with Nathan Moore, CDN architect at StackPath. We discuss intelligent caching, building secure CDN solutions, and the future of front end security and performance.
In this episode of the O’Reilly Podcast, I sat down with Hugh McKee, solutions architect at Lightbend. McKee and I discussed why the actor model is an ideal choice for building today’s distributed architecture, how actor-based systems manage requests to perform tasks, the kinds of enterprises already having success with actors, and best practices for getting started with asynchronous systems.
In this podcast episode, I talk multi-model databases with Damon Feldman, solutions director at MarkLogic. If this conversation gets you interested in multi-model databases, be sure to check out his live webcast on December 1, 2016.
What does it take to build a data-driven culture? In this O’Reilly Podcast episode, I pose that question to Ashish Thusoo, founder of Qubole. With his co-founder Joydeep Sen Sarma, Thusoo built a self-service data infrastructure at Facebook beginning in 2007. That infrastructure transformed Facebook’s culture and became part of practically every product decision that the company made.
O'Reilly editor Brian Anderson chats with James Bond, Chief Technologist for Hewlett Packard (HP). Their discussion centers around the benefits, challenges, and best practices of migrating to the cloud.
Ben Lorica chats with Teradata’s Sri Raghavan about the evolution of data analytics in Spark. They discuss why some feel there is still a high barrier for entry with Spark for data analytics, and some tools to help overcome this barrier.
I recently talked to Sean Suchter, co-founder and CEO of Pepperdata, about why Spark has become so popular and where it still presents challenges. Spark represents the evolution of how the computer field understands and is addressing the challenge of handling big data (a term I will casually use without trying to define—any definition you care to plug in will be relevant for this discussion).
In this episode of the O’Reilly Podcast, I sat down with Markus Eisele, developer advocate at Lightbend. Eisele and I discussed the inherent difficulties in developing distributed systems, how reactive principles enhance microservices, the new reactive microservices framework, Lagom, and open source’s influence on enterprise development.
In this episode of the O’Reilly Podcast, O’Reilly’s Ben Lorica sat down with Nikolaus Bates-Haus, technical lead at Tamr. Lorica and Bates-Haus discuss principal dimensions of data preparation, challenges and solutions for data processing at enterprise scale, the value of the data catalog, and how Tamr solutions integrate Spark.
In this O’Reilly Podcast, O'Reilly's Ben Lorica talks with Ryan Betts, CTO of VoltDB, about the IoT and streaming data. Their discussion covers unexpected use cases for IoT; building networked things that respond to IoT data (not just feeding data in); and the big picture of data management in the context of many, many networked things.
O'Reilly's Nicole Tache chats with Sean Suchter, co-founder and CEO of Pepperdata, about the inherent performance challenges in powerful distributed systems, the need for increased control and performance guarantees on existing Hadoop clusters, and the mission that’s driving the work he’s doing at Pepperdata.
In this episode of the O’Reilly Podcast, O’Reilly’s Ben Lorica sat down with Ben Sharma, CEO and co-founder of Zaloni, an organization that provides enterprise data management solutions for Hadoop. They discussed real-time data processing, the changing nature of data, sentiment analysis, and the trend toward combining cloud with on-prem infrastructures.
In this O’Reilly Podcast, Ben Lorica talks with John Hugg, founding engineer and manager of developer outreach at VoltDB. From the deluge of today's diverse data, Hugg describes how to extract meaningful information to make things cheaper and faster.
Host and O'Reilly chief data scientist Ben Lorica interviews Nidhi Aggarwal, whose background is in hardware and software, and whose experience ranges from work in engineering, consulting, research, and entrepreneurship.
Dr. Clare Bernard, a field engineer at Tamr, talks about integrating, cataloging, and preserving metadata.
O'Reilly's Rachel Roumeliotis chats with Joost Visser, head of research at Software Improvement Group (SIG), about how a focus on quality helps to achieve the fastest possible schedules and lowest possible cost of development and maintenance.
Laura Klein and Kate Rutter chat about what is wrong with personas and how we can make some important tweaks in order make them more useful for design and communication.
This podcast is a cross-post from the User’s Know podcast (http://www.usersknow.com/podcast), and is republished here with permission. The podcast also is available on iTunes (https://itunes.apple.com/us/podcast/what-is-wrong-ux-users-know/id980133198).
O'Reilly's Ben Lorica chats with Ben Sharma, CEO and co-founder of Zaloni, about the early days of Hadoop and how businesses across industries are benefitting from Hadoop. They also discuss the evolution of tools in the space and how more companies are moving toward real-time decision-making with the growth of streaming tools and real-time data.
O'Reilly's Ben Lorica chats with VoltDB co-founder Scott Jarr about how VoltDB’s hybrid transaction, analytic system allows for real-time analytics and personalization of data across various industries.