Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams
- Code training AD482
- Duur 3 dagen
- Versie 1.8
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Trainingsbeschrijving
Naar bovenDevelop, 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.
Company Events
These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.
Red Hat Learning Subscription COURSE:
Starting January 1, 2026, Red Hat introduces RHLS-Course, a flexible subscription model replacing the previous direct virtual class enrollment from Global Knowledge.
If you are targeting a virtual class, you shall purchase this subscription, you will be granted access on your RedHat Portal to an RHLS subscription at the course level, giving you the freedom to choose the schedule that works best and self-enroll in your selected virtual class.
Your RHLS-course subscription includes:
- One live, instructor-led virtual session
- 12 months of self-paced learning access
- One certification exam with a free retake
Public Classroom-based sessions and Closed Course options remain unchanged.
Data
Naar bovenDoelgroep
Naar bovenApplication developers with microservice development experience.
Trainingsdoelstellingen
Naar boven- 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.
Inhoud training
Naar bovenDesigning 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.
Voorkennis
Naar bovenPrerequisites for this course
- Experience with microservice application development and design, such as DO378 or equivalent experience.
- OpenShift experience is recommended, but not required.
Technology considerations
- BYOD classroom environment with access to the shared cluster.
- A cloud-based classroom environment will also be made available.
Examen
Naar bovenRed Hat Certified Specialist in Event-Driven Application Development Exam (EX482) - Coming soon
Aanvullende informatie
Naar bovenImpact 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 of this training
- As a result of attending this course, students will understand the architecture of Kafka and AMQ Streams and will be able to identify proper use cases for event-driven applications. In addition to learning the fundamental principles and features of Kafka and AMQ Streams, Students will learn how to design, develop, and test event-driven applications.
- Students should be able to demonstrate the following skills:
- Design, build, and use event-driven applications for relevant scenarios with standard patterns.
- Detect and react to data changes with Debezium to improve application performance.
- Troubleshoot common problems with event-driven applications.
