Kafka Streams - Real-time data processing with Kafka Streams
Guide covering Kafka concepts, producers, consumers, topics, partitions, Kafka Streams API, error handling, and production deployment patterns
Tags
Updated: 2026-03-21Capabilities
Typical Inputs
Typical Outputs
What this skill does
- process real-time data
- create producers
- create consumers
- configure topics
- manage partitions
- implement Kafka Streams
- handle errors
- configure semantics
- tune performance
- monitor streams
- deploy to production
Inputs
- Kafka cluster
- ZooKeeper instance
- network connectivity
- disk space
- partitioning strategy
- requirements
- development environment
Outputs
- message producer
- message consumer
- Kafka topic
- Kafka Streams application
- configuration
- error handler
- monitoring metrics
- deployment configuration
- documentation
Requirements
- Python 3.8+
- Node.js 16+
- code editor
- testing framework
- version control
- package manager
- build tools