2019: We hardly knew thee – Episode 53
2019: We hardly knew thee – Episode 53  
Podcast: The Cloud Pod
Published On: Thu Jan 02 2020
Description: 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 Our top 3 favorite headlines of the year. Google released a white paper to help you comply with the California Consumer Privacy Act (CCPA.) 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 <a href="https://cloud.google.com/explainable-ai/" target="_blank" rel="noop