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 💡 Introduction In modern event-driven architectures, integrating ⚙️ jBPM (Business Process Management) with 📡 Apache Kafka unlocks real-time visibility and automation across systems. jBPM can publish its process events, task updates, and logs directly to a Kafka server (broker) — enabling analytics, auditing, and microservice event chaining. This guide shows you how to connect jBPM to a running Kafka Server without writing any Java code , using only configuration changes in WildFly / KIE Server . ⚙️ 1️⃣ Prerequisites Before starting, make sure you have: ✅ Kafka Server (Broker) up and running (e.g., localhost:9092 or your remote broker IP/port) ✅ jBPM / KIE Server deployed on WildFly ✅ Access to modify standalone.xml or standalone.conf If you’re using a cloud Kafka (like Azure Event Hubs or Confluent Cloud), note the connection parameters (host, port, protocol, username, password or connection string). 🧠 2️⃣ Enable jBPM Kafka Event Emitter jBPM includes a r...

💡 Introduction Apache Kafka is a distributed event-streaming platform used for real-time data pipelines and stream processing . It allows different systems to communicate through publish-subscribe messaging with high throughput, reliability, and scalability . In this tutorial, we’ll learn how to install and run Kafka on your local machine (Windows, Linux, or macOS) using both manual and Docker approaches. ⚙️ 1️⃣ What You’ll Need Before you start, ensure you have: ☕ Java 8+ (JDK) installed and added to PATH 🧰 Apache Kafka (latest stable release) 🐧 Linux, 🪟 Windows, or 🍎 macOS 🐋 (Optional) Docker for containerized setup 📦 2️⃣ Download and Extract Kafka 🔹 For Manual Installation Go to the official Kafka downloads page: 👉 https://kafka.apache.org/downloads Choose a binary version (e.g., kafka_2.13-3.7.0.tgz ) and extract it: tar -xzf kafka_2.13-3.7.0.tgz cd kafka_2.13-3.7.0 🧠 3️⃣ Start Zookeeper Kafka requires Zookeeper to manage brokers and clu...

💡 Introduction In modern enterprise systems, event-driven architecture is essential for building reactive, scalable, and loosely coupled workflows. ⚙️ jBPM and 📡 Apache Kafka together enable seamless communication between business processes and external systems in real time. Kafka acts as the 🧩 message broker while jBPM executes 🧠 business process logic based on produced or consumed events. 🔍 Why Integrate jBPM with Kafka Feature ⚙️ jBPM 📡 Kafka Workflow engine ✅ ❌ Event streaming ❌ ✅ Persistence & audit ✅ Optional Real-time communication Possible via JMS/REST Native Scalability / Decoupling Moderate Excellent ✅ Together they enable: 🔄 Real-time process triggers 📬 Event notifications between systems 🧱 Decoupled producer-consumer setup 🚀 Highly scalable automation 🏗️ Architecture Overview Producer App → Kafka Topic → jBPM Consumer → Process Execution ↘ ↗ jBPM Producer → Kafka Topic → Other Microservices 🏭 Produ...