Daily Reading List – September 17, 2024 (#399)

I had team meetings today, which made me grateful to work with excellent folks. Before starting this offsite, I read through some fascinating pieces that you’ll find below.

[article] How a Playful Mindset Can Boost Creativity on Your Team. Where do you get your best ideas? You probably didn’t say “at my desk in the office.” Play matters.

[blog] Is OpenTelemetry Open for Business? September 2024 Update. If you’re betting on this framework for observability, is it supported for your languages and platforms of choice?

[blog] Advancing Our Chef Infrastructure. I can’t imagine that companies swap out infrastructure-as-code or configuration management investments often. Slack is all-in on Chef, and explains their evolution.

[blog] Chat with your business data – Conversational Analytics comes to Gemini in Looker. To me, one of the underrated of all this generative AI business is the new ability to explore and find information without needing to know SQL.

[blog] Should we decompose our monolith? This post looks at the messy world of today’s environments where there’s a mix of monolithic and microservice approaches.

[blog] Exploring BigQuery Time Travel: Historical Querying with Practical Examples. It’s powerful to be able to query data from a specific point in time.

[blog] Legacy Modernization meets GenAI. The ThoughtWorks crew has an interesting tool they’ve built to make modernizations better and more approachable.

[blog] From keywords to relationships: Reveal deeper insights with full-text search and Spanner Graph. These folks make the case that graph and full-text search are better in one system. And they bring examples.

[article] How (and why) should teams try distributed pair programming? While some companies are pushing return-to-office, many still have distributed teams that need to work together. This post looks at a study showing what makes distributed pair programming successful.

[blog] Accelerate Ray in production with new Ray Operator on GKE. Check a box, get a rich AI workload system installed into your Kubernetes cluster. I like it.

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