Course Information
Course Name
AD482: Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams
Exam code
EX482
Duration
3 Days
Certification
Red Hat Certified Specialist in Event-Driven Development with KafkaPrivate: Red Hat Application Development (AD)
Overview
Develop, scale, and troubleshoot event-driven microservice applications.
Learn to use Kafka and AMQ Streams to design, develop, and test event-driven applications. Event-driven microservices scale globally, store and stream process data, and provide low-latency feedback to customers. This course is for application developers and is based on Red Hat AMQ Streams 1.8 and Red Hat OpenShift Container Platform 4.6.
Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment.
Audience Profile
Application developers with microservice development experience.
Prerequisites
Experience with microservice application development and design, such as DO378 or equivalent experience.
OpenShift experience is recommended, but not required.
At Course Completion
Describe the basics of Kafka and its architecture.
Develop applications with the Kafka Streams API.
Integrate applications with Kafka Connect.
Capture data change with Debezium.
Troubleshoot common application streaming issues.
Course Outline
Module 1: Designing Event-Driven Applications
Describe the principles of event-driven applications.
Module 2: Introducing Kafka and AMQ Streams Concepts
Build applications with basic read-and-write messaging capabilities.
Module 3: Building Applications with the Streams API
Leverage the Streams API to create data streaming applications.
Module 4: Creating Asynchronous Services with Event Collaboration
Create and migrate to asynchronous services using the event collaboration pattern.
Module 5: Integrating Data Systems with Kafka Connect
Connect data systems and react to data changes using Kafka Connect and Debezium.
Module 6: Troubleshooting AMQ Streams Applications
Handle common problems in Kafka and AMQ Streams applications.
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