Your co-hosts recap 2019 and make predictions for the year ahead on the first episode of 2020. We’re skipping the Lightning Round this week to focus on a collaborative Q&A segment pulled from our Slack channel.
A big thanks to this week’s sponsors: * Foghorn Consulting, which provides full stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. * Blue Medora, which offers pioneering IT monitoring integration as a service to address today’s IT challenges by easily connecting system health and performance data — no matter its source — with the world’s leading monitoring and analytics platforms.
This week’s highlights 1. Our top 3 favorite headlines of the year. 2. Google released a white paper to help you comply with the California Consumer Privacy Act (CCPA.) 3. We read your questions from our TCP Slack channel for our first Q&A!
2019 Cloud Computing Predictions and Headlines Recap Last year (episode 4), we shared our predictions for what might happen in 2019.
Peter took the lead, predicting container-based models would continue to see more adoption over serverless. Justin — who predicted mergers in cloud providers would create a new top contender, and Jonathan, who predicted an acquisition of Slack — haven’t been vindicated. (Yet!)
Our 3 favorite headlines of the year.
Justin: * Google Anthos is probably the best thought-out strategy for being multi-cloud with Kubernetes (if currently pricey.) * Azure Tardigrade uses machine learning to address hardware failures before they impact uptime. * Cloudwatch Container Insights shows off the power of Cloudwatch.
Peter: * Transit Gateway became a viable method of creating a global network. * DocumentDB (with MongoDB Compatibility) sets the direction for new business models for SaaS companies. * EKS SLA reaches a 3 nines standard of reliability.
Jonathan: * Google’s Explainable AI provides a way we can understand and begin to implement machine learning in important areas like healthcare. * Wavelength<