Christoph Schubert – Patterns and anti-patterns for production ready Kafka Streams apps

Kafka Streams is a library for developing streaming application with Apache Kafka.
We will discuss best practices for developing a production-ready Kafka Streams application and for running it smoothly in production.
After reviewing the fundamentals of stateless and especially stateful programming with Kafka Streams, we will address the following questions:
How to prepare your application for seamless failover?
How to deal with the ever-growing table anti-pattern and properly implement TTL?
How to prevent resource-leaks when dealing with RocksDB-based state stores?
Which metrics to monitor?
How to size your runtime environment?
What should we keep in mind when deploying Kafka Streams on Kubernetes?
How to best deal with evolving data models?