What is Apache Kafka?

What is Apache Kafka?

Apache Kafka is a distributed event streaming platform that does more than pass messages from one service to another. Events are written to streams called topics, and consumers read those streams at their own pace to process orders, inventory changes, logs, or sensor data.

Kafka is built around brokers, topics, partitions, producers, and consumers. A producer writes a message to a topic, the topic is split into partitions for parallel processing, brokers replicate data, and consumer groups track which offsets they have read. This model works well when systems need high throughput and a retained event history.

Business Scenarios

• Moving events such as order created, payment captured, and shipment dispatched
• Replicating database changes into analytics, search, or downstream systems
• Processing log, metric, and user behavior streams in near real time
• Decoupling communication between microservices

Kafka is infrastructure that must be operated carefully, not just a simple queue. Schema governance, partition design, retries, idempotency, and dead-letter handling should be planned early. Smaller workloads may only need a message queue, while event-first systems rely on event-driven design and dead-letter queues for failed records.