Building Real-World Event Streaming Systems with Go and Kafka
Introduction Apache Kafka is the backbone of event-driven architectures at companies like LinkedIn, Uber, and Airbnb. It lets services communicate asynchronously at massive scale — without coupling them together. Go is an excellent fit for Kafka workloads: lightweight goroutines, clean channel semantics, and minimal overhead make it easy to build high-throughput producers and consumers. This guide skips the theory-heavy basics and focuses on what you actually build. We’ll cover: Kafka’s core model in plain terms Setting up producers and consumers with kafka-go Three real-world use cases with full code and diagrams Patterns for reliability: retries, dead-letter queues, and consumer groups How Kafka Works (The Short Version) Kafka organizes data into topics. Each topic is split into partitions — ordered, immutable logs. Producers append messages to partitions. Consumers read messages from partitions at their own pace, tracking their position with an offset. ...