AD482 - Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams Course
- Duration: 32 Hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The AD482 – Developing Event‑Driven Applications with Apache Kafka and Red Hat AMQ Streams Course enables application developers to design, build, scale, and troubleshoot event‑driven microservice applications leveraging Apache Kafka and Red Hat AMQ Streams on the Red Hat OpenShift platform. The course focuses on understanding Kafka’s architecture, using the Kafka Streams API, integrating with Kafka Connect, reacting to data changes via Debezium, and implementing asynchronous services for scalable, low‑latency solutions.
Course Details
- Understand the fundamentals of event driven architecture and Kafka ecosystem components
- Gain hands on experience building streaming applications using Red Hat AMQ Streams
- Learn to integrate data systems using Kafka Connect and respond to change events with Debezium
- Develop asynchronous services using event collaboration patterns
- Troubleshoot common streaming and message handling issues
- Prepare for Red Hat specialist certification and cloud native development roles
- Ideal for application developers with existing microservices development experience
- Recommended familiarity with modern application architecture and basic Kafka concepts
- Experience with Red Hat OpenShift or Kubernetes environments is beneficial but not mandatory
- Exposure to Java or cloud native stack development improves hands on engagement
- Define event driven design patterns and Kafka’s role in streaming applications
- Explain Kafka and Red Hat AMQ Streams architecture fundamentals
- Build applications with the Kafka Streams API for real time data processing
- Create asynchronous services and reactive data pipelines
- Integrate enterprise systems using Kafka Connect and handle change data capture with Debezium
- Diagnose and troubleshoot event streaming and application messaging challenges
- Principles of Event Driven Architecture: Benefits and patterns in scalable systems
- Kafka and AMQ Streams Concepts: Core messaging, topics, partitions, and brokers
- Developing with the Streams API: Building real time streaming applications
- Asynchronous Services & Event Collaboration: Designing loosely coupled systems
- Kafka Connect Integration: System integration and connectors
- Change Data Capture with Debezium: Reacting to data changes in external systems
- Troubleshooting Streaming Applications: Identifying common issues and remedies
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