🟠 Apache Kafka

Learn Apache Kafka for QA with producers, consumers, topics, partitions, Spring Boot testing scenarios and troubleshooting.

Master Apache Kafka from zero to interview level. Learn event-driven architecture, producers, consumers, topics, partitions, and how to test Kafka-based systems — the backbone of LinkedIn, Netflix, and Uber.

What you can learn on this page

  • 🎯 What is Apache Kafka? — Kafka is like a massive newspaper publishing system. Publishers (producers) write articles (events/messages). The newspaper company (Kafka broker) stores all articles in organized sections (topics). Thousands of readers (consumers) can read the same articles i
  • ⚙️ Installing Apache Kafka — The easiest way to run Kafka locally is Docker Compose — one command starts a complete Kafka + ZooKeeper (or KRaft) cluster. For production, use Confluent Cloud or Kafka on Kubernetes (Strimzi). Never install bare binaries in production — use an operator or ma
  • 🏗️ Kafka Architecture — Kafka is like a distributed bulletin board system. There are multiple bulletin boards (brokers) in different locations. Each board has sections (topics), and each section has numbered slots (partitions). Messages are pinned in order (by offset). Any number of
  • 📡 Producer & Consumer — Producer — Writing Messages A Producer is like a journalist writing articles. The journalist (producer) writes an article (message), specifies the section (topic), and optionally the column (partition via key). The newspaper company (broker) stores it. The jou
  • 🗂️ Topics & Partitions Deep Dive — Topic Configuration Replication — Fault Tolerance
  • ☕ Java & Spring Boot Integration — Spring Kafka wraps the raw Kafka client with Spring Boot's auto-configuration magic. Instead of writing 30 lines of producer/consumer setup, you add @KafkaListener and @EnableKafka annotations and Spring handles the rest. Perfect for microservices. Spring Boot
  • 🔗 Kafka Ecosystem & Integrations — Kafka is the event bus of the modern data ecosystem. It connects microservices (Spring Boot), processes streams (Kafka Streams), stores schemas (Schema Registry), syncs databases (Debezium CDC), and runs on Kubernetes (Strimzi). Understanding these integration
  • 🛠️ Real-World Kafka — Hands-On — This section walks through a real e-commerce order processing pipeline using Kafka. Follow every step. By the end you will have a working multi-service event-driven system — the exact architecture used at companies like Amazon, Zalando, and IKEA. Scenario: E-C