Daily Reading List – January 23, 2024 (#245)

Took a quick trip up to Sunnyvale this afternoon and returning tomorrow. Before flying up, I read through some excellent content that you’ll find below.

[article] Developer Productivity Metrics at Top Tech Companies. This is an excerpt from an article last week, and it’s worth a second read. Learn which metrics leading companies use to measure dev productivity.

[blog] How Pixel is helping pups find their fur-ever homes. Is this just about good PR? I doubt it, nor do I care. It’s just a good thing to do and I’m happy when any dog finds a family.

[blog] Monitoring for every runtime: Managed Service for Prometheus now works with Cloud Run. If your cloud services use unique identity configurations, or push metrics to distinct monitoring services, something’s wrong. It’s great to see something like Prometheus working well for serverless workloads too.

[article] Docker’s Build Cloud lets developers build their containers in the cloud. A dedicated cloud service just for building containers? If I’d buy that from anyone, it’s Docker. Their value prop looks like faster build times, and integration with existing tools. See Docker’s own post.

[blog] Create and deploy a new web app to Cloud Run with Duet AI. It’s good seeing a .NET example with our AI-assisted tooling, but it’s even better that Mete highlights where he didn’t get the results he wanted. Don’t treat these tools as substitutes for core knowledge!

[paper] RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture. Here’s a new paper on two popular techniques for providing domain-specific knowledge to an LLM.

[docs] Deploy an enterprise developer platform on Google Cloud. Wow, this is a fairly remarkable doc set. It explains the components of a modern developer platform, and gives you the blueprint to deploy it yourself.

[article] The Rise of the Serverless Data Architectures. Article and video from Gwen that looks at the product landscape and architectural considerations for “serverless” data.

[blog] Chrome is getting 3 new generative AI features. I like it. Fairly subtle, but useful.

[article] Top 5 JavaScript Tools for AI Engineering. Do some browser-based and server-side AI work in JavaScript with these libraries and tools.

[blog] Analyzing images with Gemini Pro Vision and BigQuery. Excellent demo of doing what should be complex data processing, but isn’t that difficult with an integrated platform like BigQuery.

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Author: Richard Seroter

Richard Seroter is currently the Chief Evangelist at Google Cloud and leads the Developer Relations program. He’s also an instructor at Pluralsight, a frequent public speaker, the author of multiple books on software design and development, and a former InfoQ.com editor plus former 12-time Microsoft MVP for cloud. As Chief Evangelist at Google Cloud, Richard leads the team of developer advocates, developer engineers, outbound product managers, and technical writers who ensure that people find, use, and enjoy Google Cloud. Richard maintains a regularly updated blog on topics of architecture and solution design and can be found on Twitter as @rseroter.

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