In this talk, where we'll navigate through the most common challenges in Kafka.

We'll not only identify these issues but also bring them to life with demos, present the consequences, and most importantly, we'll provide practical solutions to fix them.

Topic Related Issues
We'll look at frequent errors in setting up Kafka topics, like wrong partition numbers, replication factors and retention policies, and share tips on how to name topics effectively.

Producer Hiccups
Learn key points about sending messages in Kafka, including how to handle acknowledgment settings, compression, and batching.

Consumer Misconfiguration
We'll explore often overlooked Kafka consumer settings, such as 'fetch.min.bytes', different commit strategies and detect rebalance storms

Transactional Misunderstandings
Kafka transactions are powerful but tricky. We'll clear up common misunderstandings and show how to use them correctly.

Data Quality Problems
We'll discuss ensuring the data in your Kafka meets your quality standards and present deserialization error strategies.

This session is perfect for developers and system administrators who already use Kafka but want to make it work better and more reliably across their organization