Today’s reading list has a lot of tech deep-dives and how-to articles, which I liked. Get some lessons learned by your peers.
[blog] Developing a Spring Boot Project Using Google Project IDX. I’ve been messing around with IDX lately—it’s a dev environment consisting of a loaded IDE and inner loop tools—and this post shows how to build a Java app in it.
[blog] GenAI Experiments: Monitoring and Debugging Kubernetes Cluster Health. Can generative AI help on-call engineers manage alerts, debug faster, and fix unhealthy clusters? Intuit hopes so.
[article] How to Manage Feedback Like An Olympic Athlete. We all LOVE getting feedback, right? Right? This post is about handling and using feedback.
[blog] I just want mTLS on Kubernetes. You want encrypted traffic within your cluster, but without adding a bunch of overhead. John looks at options.
[blog] Let LLM suggest Instagram hashtags for your pictures. I’m not a big hashtag guy. Even if you aren’t either, you might like Guillaume’s post about using AI to figure out the right image tags.
[blog] Iceberg vs Hudi — Benchmarking TableFormats. Data lake structures are not my strength. But it was good to learn a bit in this post from Flipkart.
[blog] Deep-dive into Cloud DNS Routing Policies. When anything goes wrong, blame DNS. However, it’s still good to actually understand how it’s working.
[blog] 2023 Open Source Contributions: A Year in Review. We build with open source software, and we build a lot of open source software ourselves.
[blog] DoorDash Empowers Engineers with Kafka Self-Serve. Yes, a good platform team can even serve up complex middleware like Kafka to self-service interactions.
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