Happy Hump Day and enjoy a handful of pieces on dev productivity, continuous deployment, and whether AI will usher in a platform shift in the way cloud computing did.
[blog] Optimizing the feedback loop: a key to great developer productivity. Some good advice here from the Hootsuite Engineering team with a focus on fast builds and modular codebases.
[blog] What Is the Optimal Pattern of a Customer Journey? Here’s a different perspective on customer journeys and how you might factor in the various experiences over time. Thought provoking!
[blog] Google’s Cloud TPU v4 provides exaFLOPS-scale ML with industry-leading efficiency. TPUs are a powerful compute option that I didn’t know much about until recently. This post shows what this enables, and why it’ll be a key component in the generative AI race.
[blog] Inside Look: Measuring Developer Productivity and Happiness at LinkedIn. Another post on dev productivity! Here’s how LinkedIn chose metrics and visualizes the results.
[blog] Playing With Fire – ChatGPT. Steve Blank knows disruption, and he sounds the alarm on generative AI and its unknown implications on society.
[blog] Growth of AI Through a Cloud Lens. Will AI usher in a platform shift the same way cloud did seventeen years ago? Mitchell, one of the founders of Hashicorp, thinks it might.
[article] Security automation: 3 ways it enhances infrastructure protection. You’ll find some actionable advice in here for how to use automation to improve your security posture.
[blog] Google Cloud Deploy adds canary and parallel deployment support. The DevOps tooling space is fairly mature, but there’s always room for improvement. I like that our fully managed continuous deployment service now supports parallel deployments to multiple targets along with canary deployments for staged rollouts.
[article] The changing world of Java. There’s a new survey out about the state of Java and offers a look into popular app types, developer challenges, where apps run, and more.
[blog] Data Cloud & AI Summit round-up: What’s new in Cloud SQL. I read this post to catch up on the recent event where we announced a handful of new capabilities in our managed relational database service.
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