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Contributing to Apache Kafka: How to Write a KIP

I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.

Jenkins Continuous Integration With Katalon: A Complete Guide

DevOps significantly changed the software industry. From a siloed process where the focus was entirely placed on development, leaving little to no time to properly test it, to a combination of the two, simultaneously developing testing to shorten the cycle. CI/CD is the key to that innovation, and Jenkins is one of the most popular CI tools on the market. We’ll learn how to do Continuous Integration with Jenkins in this step-by-step guide.

With AI Writing Code, Will AI Replace Software Engineers?

Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.

Evelyn's Final Episode: Advice and Encouragement for a Career in Automated Testing

Today’s show is bittersweet as we bid farewell to our beloved co-host, Evelyn Coleman. She’s been instrumental in shaping our conversations and challenging our perspectives. We’ll reflect on Evelyn’s impact on the podcast, share lessons from her career, and discuss the ways automated testing is about so much more than just code. Press play for an episode of insights, farewells, and of course, a little humor.

What Is Metadata Why Is It Important?

Metadata refers to the information about data that gives it more context and relevance. It records essential aspects of the data (e.g., date, size, ownership, data type, or other data sources) to help users discover, identify, understand, organize, retrieve, and use it—transforming information into business-critical assets. Think of it as labels on a box that describe what’s inside. Metadata makes it easier to find and utilize the data that you need. Typical metadata elements include.