Whew, what a day. Still managed to read and watch some good stuff you’ll find below. Learn about platform teams, AI-washing, Kubernetes, and boosting creativity in your teams.
[blog] Top Ten Things Slowing Down Your Platform Team. If you have a platform team, you’re doing it right. But have you set them up for success? This post has good questions to ask yourself.
[article] From ‘cloud washing’ to ‘AI washing’. Unfortunately, it’s going to be on you to sift through the myriad AI-related announcements out there to discern which are legit.
[youtube-video] How to tune cluster autoscaler in GKE. Good video on a specific topic. How do you tune your Kubernetes autoscaler?
[blog] Avoiding Kubernetes Pod Topology Spread Constraint Pitfalls. In the weeds post, but good analysis of a real resilience challenge and how to resolve it.
[blog] Announcing new BigQuery inference engine to bring ML closer to your data. This feels like a big deal. Using built-in, locally-trained, remote, or imported models close to your data seems like a move towards simplicity and performance.
[blog] Distributing software everywhere, all at once – a look at Cloud Deploy multi-target. I briefly showed this off yesterday in my blog demo about deploying event driven apps, but Mia does proper justice to the topic in this post.
[article] 5 Ways to Boost Creativity on Your Team. None of these tips are rocket science, but I still appreciate reminders and guidance for keeping our teams engaged and sharing cool ideas.
[blog] Google chip design team benefits from move to Google Cloud. People have asked me why Google doesn’t run on Google Cloud. Parts of it do, but Google Cloud itself is built upon many remarkable Google services. Here’s the story of Google one team (chip design) that’s moved into Google Cloud.
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