Course Code: JB283
Duration: 4 Days
Price: Contact For Pricing
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Tell us a little about yourself:
Building on Red Hat Application Development I: Programming in Java EE (JB183), the introductory course for Java EE application development, Red Hat Application Development II: Implementing Microservice Architectures (JB283) emphasizes learning architectural principles and implementing microservices in Java EE, primarily based on MicroProfile with WildFly Swarm and OpenShift.
This course is based on Red Hat® Enterprise Application Platform 7.4 and Wildfly Swarm 2018.3.3.
You will build on Java EE application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications. Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best way to go about it. These enterprises have monolithic applications written in Java Enterprise Edition (JEE).
This course is designed for Java developers.
Describe microservice architectures
Describe components and patterns of microservice-based application architectures.
Deploy microservice-based applications
Deploy portions of the course case study applications on an OpenShift cluster.
Implement a microservice with MicroProfile
Describe the specifications in MicroProfile, implement a microservice with some of the specifications, and deploy it to an OpenShift cluster.
Test microservices
Implement unit and integration tests for microservices.
Inject configuration data into a microservice
Inject configuration data from an external source into a microservice.
Create application health checks
Create a health check for a microservice.
Implement fault tolerance
Implement fault tolerance in a microservice architecture.
Develop an API gateway
Describe the API gateway pattern and develop an API gateway for a series of microservices.
Secure microservices with JWT
Secure a microservice using the JSON Web Token specification.
Monitor microservices
Monitor the operation of a microservice using metrics, distributed tracing, and log aggregation.