Daily Reading List – January 31, 2024 (#251)

Another good day, although we’re about to start a rainstorm here in SoCal which will absolutely affect my mood. You’ve been warned!

[article] A Simple Question to Help Your Team Define Success. If there was one team outcome that caused everyone to pop champagne at the end of the year, what would it be? Would everyone on the team agree on that success metric?

[blog] Cassandra Unleashed: How We Enhanced Cassandra Fleet’s Efficiency and Performance. We store more data than ever, and depend on databases like never before. How do you keep them running well and cost effectively? The Doordash team outlined what they’ve done to keep Cassandra humming.

[docs] Enterprise foundations blueprint. This represents an up-to-date look at what a secure, modern cloud foundation looks like. And you can deploy it via Terraform. Very helpful for architects and platform engineers.

[blog] Data lake vs data warehouse: What’s the difference? Do you use these terms inter-changeably, or do you know the difference? The Capital One tech team explains the differences.

[article] Using LLMs to Automate Pipeline Conversions From Legacy to Tekton. I wouldn’t do this unless I had experts on hand to review the output, but sure, LLMs should be helpful for taking initial steps in the move from one platform to another.

[blog] Play-It-Through Chess Game in a Single Google Sheets Formula. What are you using spreadsheets for? Business data, like a lunatic? Nah, you should build games, like Ben did 🙂

[article] Google’s first Africa cloud region now operational. Our network and cloud continues to cover the globe, and I’m happy to see that folks in Africa now have better choices in the cloud.

[article] Understanding Architectures for Multi-Region Data Residency. Cloud is amazing for building global systems, but you have lots to consider regarding data residency.

[blog] Scaling security with AI: from detection to solution. Our Google security team is releasing our fuzzing framework as free OSS which can help you find security issues and resolve them.

[article] Technology Trends for 2024. Monster writeup from the O’Reilly team that digs into what users studied on their platform in 2023. Lots of AI and MLOps, not so much on microservices.

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