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

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

Red Hat NIC-RH-AD482R

USD 2,549.00
or 9.0 TU
Excl. Tax

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.

Please note: It may take up to 48 hours until the access to this e-learning is provided.

Who should attend

Application developers with microservice development experience.

Course Prerequisites

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

What you will learn

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.
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