Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams Training
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.
Duration
Prerequisites
- Experience with microservice application development and design, such as DO378 or equivalent experience.
- OpenShift experience is recommended, but not required.
Target Audience
Skills Gained
- 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.
- Designing Event-Driven Applications
- Introducing Kafka and AMQ Streams Concepts
- Building Applications with the Streams API
- Creating Asynchronous Services with Event Collaboration
- Integrating Data Systems with Kafka Connect
- Troubleshooting AMQ Streams Applications
Partner Registration
The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.
You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.
Partner Registration
The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.
You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.