Daily Reading List – June 10, 2025 (#565)

Holy cow, what a day. I delivered three big presentations to Swedish customers, then went to the Avicii Arena to prep for tomorrow’s Nordics Summit before just wrapping up a dinner with a bunch of local customers. For an introvert, this sort of thing puts my social battery below zero. But, still enjoyable overall and a privilege to do!

[article] Google’s Cloud IDP Could Replace Platform Engineering. Todd at The New Stack wrote up an article featuring my recent blog post about what we’re doing with internal development platforms. With bonus commentary from actual experts.

[blog] Beyond Code: APIs as the Next OSS Battleground. In open source, is the API actually more valuable than the source code? Stephen takes a look at some recent developments.

[blog] How Project Shield helped defend against one of the largest DDoS attacks to date. These are powerful services that anyone can use, and at-risk companies get for free from us.

[article] Scaling Vibe-Coding in Enterprise IT: A CTO’s Guide to Navigating Architectural Complexity, Product Management and Governance. We’re going to prototype and build differently now. It’s inevitable. Keith looks at areas of focus when doing it responsibly.

[docs] Plan for large workloads. Sometimes your at-scale plans aren’t about theoretical future moments; they’re about right now. I liked this Kubernetes documentation for how to prepare an environment for large workloads across clusters.

[article] The Real Cost of Open-Source LLMs [Breakdowns]. You can debate the numbers, but this calls out the “do it yourself” costs (and categories) versus using a managed service.

[blog] AI Studio to C#? A Workaround for Prototyping Gemini Integrations in languages where you can’t “Get the code!” Creative solution from someone who wanted C# code snippest out of Google AI Studio.

[article] How To Fall Behind in The Age of AI. Amusing piece that outlines all the things you should do if you want to intentionally let the AI revolution pass you by.

[article] Forget What You Know About Search. Optimize Your Brand for LLMs. Is your team aiming for “share of voice” metrics and using various social and SEO strategies? How about “share of model” now that many folks are getting answers directly from LLMs?

[blog] Simplify your streaming pipelines with new Pub/Sub Single Message Transforms. I think I like this! You want to be careful about putting business logic in random places, but doing some light message manipulation directly in the streaming service can simplify your architecture. Docs here.

[blog] Introducing hybrid on-device inference using Firebase AI Logic. Cool functionality for people who want to build apps that can take advantage of on-device models and fall back to cloud as needed.

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