Another day, another batch of AI-related announcements. So much going on in this space! Check out a couple related articles below, while also learning about app modernization challenges, good team cultures, and change data capture.
[article] Society’s Technical Debt and Software’s Gutenberg Moment. It’s likely AI is going to cause a major disruption to lots of job roles in the short and long term, including those building software. Read this piece.
[blog] Cheating is All You Need. Steve Yegge is good at rants. He makes great points about the fully disruptive nature of large language models what that means to many people.
[article] Improving CI/CD Pipelines Through Observability. This isn’t something I’ve thought about very much, so it was useful to read an article about the tactics and useful metrics for a well-monitored set of pipelines.
[blog] Configure Content-Based Routing to Kafka Topics with YugabyteDB’s Change Data Capture. It’s getting easier and easier to observe database changes. This post shows how Yugabyte does it.
[blog] Boost your development on Cloud Spanner change streams with a new tail tool. Relatedly, here’s a new open source tool that lets you tap into Cloud Spanner DB changes and get a live local view.
[blog] Unified Streaming And Batch Pipelines At LinkedIn: Reducing Processing time by 94% with Apache Beam. Good deep dive from LinkedIn that looks at data processing with the Apache Beam, a project Google started years ago.
[blog] Announcing Google Cloud’s new Digital Sovereignty Explorer. Thinking about data, operational, or software sovereignty? Lots of folks are. This post introduces a tool for exploring key questions that lead you to a valid approach.
[blog] The new Google Cloud region in Turin Italy is now open. Whenever I retire, I’ve thought about visiting every baseball stadium. Maybe I should also aim for visiting every city where Google Cloud offers a “region.”
[news] Survey Surfaces Application Modernization Challenges. Oof, tough numbers here. Level of confidence in understanding modernization effort plummets once the work starts. Lots of challenges finding people to support existing apps. More in this depressing, but important data.
[blog] 2022 State of DevOps Report data deep dive: good team culture. Do you know how to measure your team’s culture? We’ve got years of data that shows high performing teams have certain traits. This post highlights a few of them.
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