Systems | Development | Analytics | API | Testing

Apache Kafka is mission-critical for many organizations—but where you deploy it matters just as much as how you use it. In this video, two OpenLogic experts discuss why they increasingly encourage customers to move their Kafka clusters to Kubernetes and utilize the Strimzi operator, and what that shift unlocks from an operational, scalability, and resilience standpoint.

Kafka is powerful—but common Kafka mistakes can quietly undermine performance, reliability, and scalability. In this video, two OpenLogic experts break down the most frequent Kafka anti-patterns they see in real customer environments—and how to avoid them. Based on hands-on experience fixing production Kafka clusters, this discussion covers: If you’re running Apache Kafka in production—or planning to—this video will help you spot Kafka mistakes early and apply proven best practices to build a more stable, scalable event streaming platform.

They can now run large test suites quickly, execute at scale, and get consolidated reporting — all major improvements from where they started. The journey continues, but today they’re also using AI-driven test generation and tracking ROI, with Katalon adding features based on their needs. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!