Daily Reading List – January 19, 2024 (#243)

I’m flying home at the moment, and working with shockingly good wifi. You can’t bet on it, but when it’s there, life is good. While flying, I read the items below.

[article] 2 Ways to Reduce Bottlenecks with the Theory of Constraints. This offers a good look at a proven way to tackle bottlenecks effectively. It’s important knowledge for us in software, and many other professions.

[article] CIO ‘change fatigue’ dampens enterprise IT spend. Spend is on the rise, especially as companies find more uses for technology to power their businesses.

[blog] New ways to search in 2024. I like this. We often have to jump out of whatever we’re doing to perform a search for more info; how cool is it to trigger that (mobile) search from wherever? More here.

[blog] Alerts Are Fundamentally Messy. Strong post from the Honeycomb team and something you should read if you’re an SRE or managing system alerts for app owners.

[blog] Ten new generative AI trainings to upskill in 2024 with Duet AI. Even if you don’t have a pending use case, you should consider investing some time in learning AI-assisted tooling in 2024. Priyanka calls out some new courses, as well as in-person options.

[article] The Case for (and Against) Monorepos on the Frontend. Does every group at your company use a separate repo? Or do you embrace the monorepo? This post explores some of the reasons to centralize.

[blog] Integrating BigQuery data into your LangChain application. Karl does a terrific job here walking us step-by-step through these important technologies. I like that BigQuery Studio lets me run notebooks and try out everything from there.

[blog] Introducing granular cost insights for GKE, using Cloud Monitoring and Billing data in BigQuery. Combining billing data with utilization data for Kubernetes clusters? That’s a big deal, and should change the game for those figuring out cluster costs.

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