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 Modern microservices architectures rely heavily on event-driven communication. In this article, we will build a real example project combining: Spring Boot Apache Kafka Camunda 8 This project demonstrates how to: Start a workflow from a Kafka event Publish Kafka events from Camunda Handle asynchronous orchestration Maintain clean separation of concerns 🎯 Use Case: Order Processing System Scenario: An Order Service publishes an event to Kafka. A Kafka Consumer receives the event. Camunda 8 starts a workflow. The workflow triggers a Payment Service. Payment result is published back to Kafka. Camunda correlates the message and completes the process. 🏗 Architecture Overview Components: Spring Boot App Kafka Broker Camunda 8 (Zeebe) Payment Worker 🛠 Step 1: Project Setup Create Spring Boot project with: Dependencies: Spring Web Spring Kafka Camunda Zeebe Client Lombok 📦 Maven Dependencies ...

 Integrating Camunda 8 with Apache Kafka enables powerful event-driven workflow orchestration. Camunda 8 manages long-running business processes, while Kafka handles high-throughput event streaming between distributed services. Together, they form a scalable and decoupled microservices architecture. In this guide, we will cover: Why Kafka integration is important Integration patterns Implementation approaches Error handling strategies Production best practices 1️⃣ Why Integrate Camunda 8 with Kafka? Camunda 8 is designed as an asynchronous, distributed workflow engine using Zeebe. Kafka naturally complements this architecture. Benefits: ✅ Decoupled services ✅ High scalability ✅ Event-driven orchestration ✅ Resilience and durability ✅ Replay capability Typical use cases: Order created event triggers workflow Payment completed event updates process Inventory updated event continues fulfillment Microservices publish business events 2️⃣ ...