Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams – Red Hat Learning Subscription Course (AD482LS)

Description

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.
RHLS Course Includes:

365-Day RHLS Subscription – Full year of access starting from your purchase date. Official Red Hat Training Curriculum – Learn directly from Red Hat’s validated, up-to-date course materials.
Hands-On Labs (100 Hours per Course) – Build practical, real-world skills through extensive lab time.
One Certification Exam + Free Retake – Includes exam readiness resources to help you prepare with confidence.
One Virtual, Instructor-Led Class – Attend a live online class through the Red Hat portal (self-enrollment required using your RHID).

Additional Course Information

Schedule and Pricing

Target Audience
Cluster administrators (systems administrators, cloud administrators, cloud engineers) Cluster engineers (systems administrators, cloud administrators, cloud engineers) Site reliability engineers (SREs)
Pre-Requisites
  • Experience with microservice application development and design, such as DO378 or equivalent experience.
  • OpenShift experience is recommended, but not required.
Objectives
  • 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 Delivery Modality
VILT
Duration in Hours
24
Credits Eligible
0
Course Vendor

Course Outline

1 - Designing Event-Driven Applications

  • Describe the principles of event-driven applications.

2 - Introducing Kafka and AMQ Streams Concepts

  • Build applications with basic read-and-write messaging capabilities. .

3 - Building Applications with the Streams API

  • Leverage the Streams API to create data streaming applications. .

4 - Creating Asynchronous Services with Event Collaboration

  • Create and migrate to asynchronous services using the event collaboration pattern. .

5 - Integrating Data Systems with Kafka Connect

  • Connect data systems and react to data changes using Kafka Connect and Debezium. .

6 - Troubleshooting AMQ Streams Applications

  • Handle common problems in Kafka and AMQ Streams applications. .