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Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams (AD482)

$3,525

Upgrade your tech skills with this , training course. Launch your career to the stars with AstraTech IT Certification Training!

Please select a Learning Method below to get started:

  • Application Services
  • Red Hat

Course Highlights
ILT DURATION: 4 Day(s)
SKILL LEVEL: 
  • Intermediate
BRAND/TECHNOLOGY: 
TOPICS: 

Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams (AD482) Course Outline

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.

Cluster administrators (systems administrators, cloud administrators, cloud engineers)
Cluster engineers (systems administrators, cloud administrators, cloud engineers)
Site reliability engineers (SREs)

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

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. .

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