Daily Reading List – April 16, 2025 (#534)
Another good day as I wrote the blog post I teased yesterday, and had some productive meetings. Also, deployed my first AI agent using Agent Development Kit. Have you carved out time this week to go deep on something new? Still a couple days left!
[blog] What are AI Agents? why do they matter? Addy goes deep on this topic and helps us better understand what agents do, why they’re a difference-maker, and what the tech landscape looks like.
[blog] Connect & Act: Google ADK Agents with GCP Integration Connectors to Perform Tasks Across 100+ Systems. Speaking of agents, I like that our Agent Development Kit offers a way to connect to third party SaaS and software via our cloud integration service.
[blog] How Much Should I Be Spending On Observability? Fantastic post from Charity that looks at misperceptions and confusion about how much you should spend on observability data and tools.
[blog] 50+ Essential Linux Commands: A Comprehensive Guide. Great introductory (and refresher) content for anyone working with Linux at the terminal. This reminded me of a few commands I forgot.
[blog] Making it easier to build with the Gemini API in Google AI Studio. Nice functionality for prompt builders and app builders. I tried it out today.
[docs] Harness CI/CD pipeline for RAG applications. What’s a viable architecture to do continuous delivery of a RAG-style AI app? That’s the focus of this architecture guide. It includes a link to a repo with the corresponding Terraform.
[article] Kelsey Hightower on Nix vs. Docker: Is There a Different Way? Nix is very cool, as I learned using our Project IDX (now Firebase Studio). Very helpful in creating consistent environments.
[blog] What’s new with BigQuery — the autonomous data-to-AI platform. Sheesh, this platform does a lot of things. But it does them in a smart and well-integrated way.
[article] Get Clearer, More Actionable Feedback. There were a handful of specific feedback-seeking questions here that I found extremely valuable.
[blog] Understanding Kubernetes Networking Internals. There are some good fundamentals here to be aware of.
[article] Google Cloud Introduces Application-Centric Cloud For Developers. You don’t often see platform engineering-type topics picked up by mainstream press, but our recent productization of these ideas warranted it.
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