Daily Reading List – May 10, 2024 (#316)

It’s the end of a solid workweek. Next week, I’ll be at Google I/O delivering the cloud keynote, and then jetting off to Vegas to talk to analysts at the Gartner event going on there. Those events have wildly different audiences, and I deeply enjoy both.

[article] Gatekeepers Limit Continuous Delivery’s Benefits. The theory of constraints says you have to optimize the limiting factor. If you improve how fast folks can write code, but can’t ship it any faster, what’s the point?

[blog] Building AI-Powered Apps with LangChain: A 2024 Guide. Good details about this framework that has quickly become a go-to for folks building generative AI apps.

[blog] AlloyDB vs. self-managed PostgreSQL: a price-performance comparison. There are, of course, cases where self-managing hardware or software is a better move for you. But the number of cases is shrinking.

[blog] Paramount+: A streaming powerhouse with limitless entertainment. Few folks need a zero-downtime, globally available service. But when you do, or if you want to apply the lessons learned from such an approach, see this post.

[blog] 6 Best Practices for Hosting Developer-Focused Events. The in-person meetup scene seems hot right now, with lots of tech folks getting together to learn. This is a good post for those putting on events.

[blog] Kubernetes 1.30 is now available in GKE in record time. Staying up to date in your Kubernetes cluster isn’t about features; it’s about security and stability updates. Nobody keeps you up to date like our GKE team.

[blog] What’s new with Active Assist: New Hub UI and four new recommendations. Even if the AI hype train has taken focus off cost and security optimization, those things still matter a ton. I like the new security and audit-related “recommendations” we’re offering Cloud customers now.

[blog] The DevRel Guide to Business Jargon. Get definitions of common sales and marketing terms like TAM, ARR, conversion rate, and more.

[blog] How chaos testing adds extra reliability to Spanner’s fault-tolerant design. I was impressed by the extent to which we try to “break” Spanner to test its reliability. You might find inspiration for tests you want to run against your own systems.

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