A short live demo on how to easily migrate from Zookeeper to Kraft with Confluent for Kubernetes (CFK) in 4 simple steps.

Producer retries in Apache Kafka can make or break message delivery, especially during broker events like updates or failures. Use the idempotent producer, and configure delivery timeouts, in order to avoid common pitfalls that lead to lost messages or broken ordering.

Picking the wrong partition key in Apache Kafka? That’s a fast track to performance headaches—think unbalanced loads, slowdowns, and broken message ordering. Choosing the right partitioning strategy keeps your data flowing smoothly and avoids hot partitions.

Constantly starting and stopping Apache Kafka producers and consumers? That’s a recipe for high resource usage and inefficiency. Short-lived connections are heavy on resources, and can slow down your whole cluster. Keep them running to boost performance, cut latency, and get the most out of your Kafka setup.

Default settings in Apache Kafka work when you’re getting started, but aren't suited for production. Sticking with defaults, like a seven-day retention policy, or a replication factor of one, can cause storage issues, or data loss in case of failure. Learn why optimizing retention periods, replication factors, and partitions, is crucial for better Kafka performance and reliability.

Keeping your Apache Kafka clients up-to-date is critical for maximizing performance, security, and stability. In this video, we discuss why sticking with old versions could be putting you at risk, since it means you’re missing out on dozens of new features, and hundreds of bug fixes and security patches. Learn why upgrading is more than just a “nice-to-have”—it’s essential for a smoother and safer Kafka experience.

Lenses 6.0 is now available as a Community Edition for you to use for free forever. You can connect it to up to 2 Kafka clusters, or if you prefer, it has a localhost for local development. Simply run the docker command here: And follow the steps in the video to get started.