Apache Kafka Has a Free Event Streaming Platform — Handle Millions of Events per Second

Apache Kafka processes millions of events per second with persistent, distributed, fault-tolerant message storage. The backbone of event-driven architecture. Why Kafka? RabbitMQ: great for task queues. But when you need to: Process 1M+ events/second Replay events from any point in time Fan out one event to 10 different consumers Keep events for days/weeks/forever Kafka was built for exactly this. Core Concepts Topics — named streams of events (like database tables) Producers — write events to topics Consumers — read events from topics Consumer groups — parallel processing with automatic load balancing Partitions — topics split across brokers for parallelism Retention — events stored for configured time (hours, days, forever) What You Get for Free # Docker Compose (quickest start) version: '3' services: kafka: image: confluentinc/cp-kafka:7.5.0 ports: [ '9092:9092' ] environment: KAFKA_NODE_ID: 1 KAFKA_PROCESS_ROLES: broker,controller KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092,CONTROLLER