Daily Reading List – March 19, 2025 (#515)

Today’s reading list has a few hot takes, along with some good advice for individuals and teams.

[article] Why I’m No Longer Talking to Architects About Microservices. Ian is done because nobody agrees on the definition, among other reasons. The big problem Ian sees is not recognizing the bigger org change required to create and deliver services to production regularly.

[article] The Next $100B Cybersecurity Opportunity. A quick discussion of Google’s intent to acquire Wiz, but this is a broader look at the security market and opportunities there.

[blog] Revolutionize the internal search engine with Google Agentspace. I’ll go out on a limb and predict that this product—and this category of product—will become a big deal. We’re going to need a new way to interact with our data and systems, and classic intranets won’t do it.

[article] No one knows what the hell an AI agent is. But what actually is an agent? I still really like the way we’ve laid it out.

[article] Microsoft TypeScript Devs Explain Why They Chose Go Over Rust, C#. More details from those who made the bold (and brilliant!) choice to use Go for their port of TypeScript tools.

[article] How to Learn from a Failed Negotiation. It’s common for folks to say they “crave feedback” or “embrace failure” but do we really? Are we actually hearing feedback and truly learning from our failures? Here are some tips to get better at it.

[article] AI project failure rates are on the rise: report. You’re going to have failures based on how you define success here. That’s ok. As mentioned above, what will you learn from it?

[blog] Cloud Composer 3: The next generation of data pipeline orchestration. Are you using Apache Airflow to build data pipelines? This latest version of our managed service looks simpler to use and more performant.

[article] Survey Surfaces IT Infrastructure Automation Shortfalls. These statistics seem … terrible? Virtually nobody has implemented infrastructure automation best practices, and nearly half of respondents are rerunning deployments more than four times to get it right!

[blog] Enhancing multiplayer games with gen AI and cloud gaming: a technical deep dive. There are some useful details here, including links to a reference app to see how a game architecture works.

[blog] Fine-tune & Run Gemma 3. Lots of details about fine-tuning and training our latest open model.

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