Building a Simple Kafka Streams App
Create your first Kafka Streams application to process data in real-time from Kafka topics.
Welcome to Kafka Streams!
Ready to build real-time data processing apps? Kafka Streams is a client library for building applications and microservices that process data stored in Kafka.
It lets you write standard Java/Scala applications that leverage Kafka's power for stream processing. Think of it as a toolkit to transform, filter, and analyze data as it flows through Kafka.
The Power of Kafka Streams
Kafka Streams offers several key advantages for your real-time applications:
- Lightweight: It's just a library, no separate cluster needed.
- Fault-Tolerant: Automatically handles failures and data recovery.
- Scalable: Easily scales by adding more instances of your application.
- Exactly-Once Processing: Guarantees data is processed once, even with failures.
It's great for real-time analytics, data transformations, and event-driven microservices.
All lessons in this course
- Building a Simple Kafka Streams App
- KStream & KTable Concepts
- Stateless vs. Stateful Operations
- Serdes & Data Serialization in Kafka Streams