Happy Monday. I took time away from work this weekend which was much needed. I still did some side coding, but I spent the majority of the time reading and messing around with the kids. I had some reading to catch up on, and enjoyed the items I found below.
[article] The dilemma of quality versus speed is false. Good point that “quality is the prerequisite for speed” ad that you won’t have speed without investing in ongoing quality.
[article] How Technical Debt Can Impact Innovation and How to Fix It. We could argue over some of the conclusions here, but the fundamental point seems sound: architectural debt is expensive and limits your progress.
[blog] Deploying GitHub Action Runners on GKE with dind-rootless. If you want to run self-hosted GitHub Action runners on Kubernetes, this is a good walkthrough. Check out the companion piece with troubleshooting tips.
[blog] What makes a good REST API? Whether you’re building your first REST-style API or your hundredth, this seems like a useful guide for what to consider.
[blog] Architectural Blueprints for RAG Automation: Advanced Document Understanding using Vertex AI Search. This is a detailed look at a managed service that helps with grounded your LLM in (unstructured) data.
[blog] Ahrefs Joins Others in Suggesting That On-Premises Hosting Can Be More Cost Effective than Cloud. I can’t speak to everyone’s unique situation, but it’ll be rare when cloud is more expensive than the loaded cost of on-premises infrastructure.
[article] Slack privacy furore: Company updates legals, says no customer data used to train genAI. Yikes. I’m glad they’re doing the right thing now. Systems like Slack store a lot of sensitive data!
[article] Maker vs. Manager: How Your Schedule Can Make or Break You. Some powerful points in here, especially if your job requires periods where you’re either a “maker” or “manager.” How are you balancing those duties?
[blog] Collaborative ML research projects within a single cloud environment. Will we see more of these cross-team or cross-org projects? I hope so. It requires the right sort of platform, however.
[article] Harness Survey Surfaces Raft of DevOps Challenges. Don’t read this if you’ve had a tough day. These results are depressing. We’ve got to help software teams get a handle on their complexity.
[blog] Hugging Face + Google Visual Blocks. This is a very cool way to see ML pipelines in action, and build browser-based pipelines yourself.
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