Common Kafka Anti Patterns and How to Avoid Them

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:

• How poor topic, partition, and retention choices cause long-term pain
• Cluster configuration errors that lead to outages, lag, and runaway costs
• Why Kafka should never be used as a data store
• Practical ways to correct Kafka mistakes before they impact production

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.

From the OpenLogic webinar "Kafka Gone Wrong: How to Avoid Data Disasters" - watch the full presentation here: https://ter.li/b5kdg7

Explore Kafka solutions from OpenLogic (24/7 tech support, LTS, Kafka as a service): https://ter.li/9cnean