Daily Reading List – November 19, 2024 (#444)

Today you’ll find a mix of newsy items, in addition to some long-form pieces. I think you’ll like one or two of these!

[blog] Use AI to build AI: Save time on prompt design with AI-powered prompt writing. It’s useful to learn basic prompting techniques. But also take advantage of platforms that help you do it.

[blog] Stateful workload operator: stateful systems on Kubernetes at LinkedIn. The team at LinkedIn set up a system on Kubernetes that makes it easier for app owners to deploy and run stateful systems.

[blog] Playground Wisdom: Threads Beat Async/Await. Big, interesting post about blocking code, async processing, and why threads are better than the async/await abstraction.

[blog] Meet Angular v19. Big, big release of this popular frontend framework. Dig through this to see what matters, and what’s new/improved.

[blog] There Is Only One Key Difference Between Observability 1.0 and 2.0. Another banger from Charity. She does an excellent job explaining what to look for in modern observability products.

[blog] Batch prediction in Gemini. You want predictions for dozens, hundreds, or thousands of items in your store, portfolio, or account? Mete has a clear post that shows how to submit batches of requests to an LLM.

[article] p-Hacking your A/B tests. You might be making a mistake when running A/B tests for your app, marketing campaigns, or whatever. Jason says you shouldn’t stop a test once it looks like you got a “conclusive” result.

[article] How To Track DORA Metrics in an Internal Developer Portal. Are you capturing software delivery performance metrics? How? Where? Here’s an example with one product, but extrapolate to whatever tool you use.

[blog] Data extraction: The many ways to get LLMs to spit JSON content. If you’re parsing text with an LLM and want structured output, you have options. Guillaume shows off a few, and lands on a clean choice.

[blog] Scaling Ambient In Your Sleep. Quick post, but good to read if you skipped Istio the first time around because of too much complexity or too many scaling concerns.

[article] Microsoft brings together its enterprise AI offerings in the Azure AI Foundry. I’m keeping an eye on what our friends at Microsoft are up to at Ignite. With data products too.

[blog] AWS Lambda SnapStart for Python and .NET functions is now generally available. This looks like a cool feature from AWS. We offer quick startup with a CPU boost, but this does some neat things with memory. Also, a post about ten years of Lambda.

[blog] Cloud CISO Perspectives: The high security cost of legacy tech. Even if you aren’t chasing functional benefits from modernization, you probably crave a better security posture.

[article] When Your Manager Is Ineffective — and You Feel Stuck. There are good action items here to help you address a real (or perceived) lack of usefulness from your boss.

[blog] A Step-by-Step Guide to Fine-Tuning Gemini for Question Answering. I liked this post which explained some different types of fine tuning, and shows a clear example.

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