Daily Reading List – October 20, 2023 (#187)

That was quite the week. How you doing? Take a breather, and check out some thought-provoking content here on team structures, architectures, and tools.

[blog] The Product Model at Spotify. This piece offers substantial insight into what motivated Spotify to organize their teams and workflow as they did.

[blog] Shift down to the platform, not left to the dev. It’s wonderful to see my shift down metaphor referenced in more places.

[blog] Retrieval augmented generation: Keeping LLMs relevant and current. You may not do it yourself, but understanding how RAG works seems like an important thing to add to your toolbox.

[docs] Overview of Generative AI on Vertex AI. The diagram on this page is very informative. It’s a good way to digest the pieces that come together in a generative AI workflow.

[blog] Sharing Datasets across organizations with BigQuery Analytics Hub. I haven’t tried this yet, but it looks like a useful way to share access without having to copy data around.

[blog] How DoorDash Standardized and Improved Microservices Caching. Do you use a single product or library for app/data caching? For many, it’s fragmented. Here’s how DoorDash unified their toolchain.

[blog] Vertical Slice Architecture in ASP.NET Core. The .NET angle doesn’t matter here; it’s really about explaining a pattern (vertical slicing) that I prefer for any language/framework.

[blog] Improve Kubernetes cost and reliability with the new Policy Controller policy bundle. I like the introduction of policy-based controls to Kubernetes clusters. This particular policy bundle ensure that workloads in GKE set the right cost and reliability configurations.

[article] Oracle unveils Java development extension for Visual Studio Code. Late to the game, but don’t discount Oracle’s offering here. I’ll give it a try.

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