Summary
Apache Kafka is an open-source distributed event streaming platform originally developed at LinkedIn. It enables applications to publish, subscribe to, store, and process streams of records in real time.
What is Apache Kafka?
Kafka organizes data into topics, which are partitioned and replicated across a cluster of brokers for durability and scalability. Producers write records to topics while consumers read from them independently, allowing multiple applications to process the same stream at their own pace.
Because Kafka persists records on disk with configurable retention, it acts both as a message queue and as a long-term event log. This dual role makes it suitable for event sourcing, audit trails, and replaying historical data.
Kafka is commonly used in microservices architectures to decouple services, buffer spikes in traffic, and ensure reliable data delivery between components.
Why is Apache Kafka relevant?
- High throughput: Handles millions of events per second with low latency
- Durability: Replicated storage prevents data loss during broker failures
- Decoupling: Producers and consumers are independent, simplifying system evolution
- Ecosystem: Kafka Streams and Kafka Connect extend it for processing and integration