Daily Reading List – August 12, 2024 (#374)

I’m back from China after a fun, but tiring week. And my flight home was cancelled (after five hours of sitting on the plane) Friday night, before getting rescheduled for Saturday night. But, I got a story out of it, and made some friends along the way.

[blog] Gemini 1.5 Flash price drop. Simon noticed our big price change. Get one of the best models at the best price, and for the most multimodal use cases. A lot to like! Related post from our product folks.

[paper] The AI-Native Software Development Lifecycle: A Theoretical and Practical New Methodology. This proposes a future state where code generation is free and instant. Most devs spend time verifying, and AI impacts ALL stages of the SDLC.

[blog] Level up your Kubernetes security with the CIS GKE Benchmarks. This is cool. Get these 3rd party security recommendations applied to your Kubernetes cluster in Google Cloud.

[blog] How we migrated onto K8s in less than 12 months. From the tech team at Figma. They seem happy with the results.

[blog] Step-by-Step Guide to Integrating Spring Boot with OpenTelemetry and GCP. Good post for those looking to add more instrumentation to their Java apps.

[blog] Individual efficiency vs administrative efficiency. So great. Jason does an excellent job looking at the tradeoffs of what’s good for the person, versus what’s good for the team. And, giving advice for how to approach it.

[blog] Farewell to overprovisioning: How to unlock cost-effective elasticity with Spanner. Not every workload is spiky or requires extreme elasticity. But when you do, it’s cool to be able to access such flexible cloud services.

[blog] Docker Best Practices: Understanding the Differences Between ADD and COPY Instructions in Dockerfiles. I mostly see and use “copy” versus “add” in my Dockerfiles, but it’s good to know the real difference.

[blog] Gemini Nano running locally in your browser. An LLM built into the browser is fascinating, and now possible.

[blog] Introducing Approximate Nearest Neighbor (ANN) search to Spanner. This might not be needed (yet), but as your datasets grow, you’ll want the cost and latency relief from this related approach.

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