Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams

Course description

Course content summary

• 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.

Audience for this course

• Application developers with microservice development experience.

Prerequisites for this course

• Experience with microservice application development and design, such as DO378 or equivalent experience.
• OpenShift experience is recommended, but not required.

Study points for the exam

Designing Event-Driven Applications
Describe the principles of event-driven applications.

Introducing Kafka and AMQ Streams Concepts
Build applications with basic read-and-write messaging capabilities.

Building Applications with the Streams API
Leverage the Streams API to create data streaming applications.

Creating Asynchronous Services with Event Collaboration
Create and migrate to asynchronous services using the event collaboration pattern.

Integrating Data Systems with Kafka Connect
Connect data systems and react to data changes using Kafka Connect and Debezium.

Troubleshooting AMQ Streams Applications
Handle common problems in Kafka and AMQ Streams applications.

Impact on the organization

• Organizations are recognizing that traditional synchronous applications are not able to scale consistently and adjust to the massive amounts of data from customers while still meeting customers’ expectations of immediate results. With event-driven applications using Kafka and AMQ Streams, organizations can expect to be able to globally scale their applications, store and stream process data, and provide feedback to customers with extremely low latency.

Impact on the individual