It was a good flight to Stockholm, and I had some time yesterday to walk around, build tech demos, and meet friends for dinner. Today was bonkers, but discussions with five customers yielded some great insights. Enjoy the reading list below.
[blog] Three steps in mapping out your modern platform strategy. I wrote a paper! Google just published my perspectives on how you upgrade your platform to get ready for AI.
[article] Generative AI will spark mass upskilling of software engineers, Gartner says. Since Gartner thinks that 3/4 of all engineers will use AI assistance tools in a few years, training is needed.
[blog] Google BigQuery — Continuous Queries (hands-on). Quick look at this functionality that lets you process data streams directly within BigQuery.
[article] How to Build an AI Agent With Semantic Router and LLM Tools. It’s going to keep getting easier to implement this stuff for “free” within managed services and frameworks instead of building the plumbing yourself, but it’s good to know the fundamentals.
[article] OpenAI Launches New ChatGPT Interface, Designed for Coding. The app building and coding tools space is about to get VERY interesting.
[blog] A Gemini and Gemma tokenizer in Java. Token counts matter, and doing this activity locally (versus calling a remote endpoint) is convenient.
[blog] An Engineer’s Checklist of Logging Best Practices. These all seem like good suggestions for developers and ops folks to consider.
[article] Microsoft Taking Up the Mantra of Platform Engineering. Better late than never! Google has taken a platform approach to internal infrastructure and services for years, and seen the benefits.
[blog] Serving ML Models and Monitoring Predictions in Google Cloud Vertex AI. What do ML engineers actually do? This post walks us through storing, serviing, and monitoring models.
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Richard Seroter's Architecture Musings 
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