DO379 - Red Hat Cloud-native Microservices Development with Quarkus and exam

Formation inter-entreprise

À qui s'adresse la formation?

Tout public

Durée

5,00 jour(s)

Langues(s) de prestation

EN FR

Prochaine session

Prérequis

Experience with application development or Red Hat Application Development I: Programming in Java EE (JB183). Be proficient in using an IDE such as Red Hat® Developer Studio or VSCode.

Objectifs

Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best approach. Quarkus is an exciting new technology that brings the reliability, familiarity, and maturity of Java Enterprise with a container-ready lightning-fast deployment time. Red Hat Cloud-Native Microservices Development with Quarkus course and exam (DO379) emphasize learning architectural principles and implementing microservices based on Quarkus and OpenShift. You will build on application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications.

Contenu

  • Describing microservice architectures

Describe components and patterns of microservice-based application architectures.

  • Implementing a microservice with Quarkus

Describe the specifications in Quarkus, implement a microservice with some of the specifications, and deploy it to an OpenShift cluster.

  • Deploying microservice-based applications

Deploy Quarkus microservices to a Red Hat OpenShift cluster.

  • Building microservice applications with Quarkus

Build a persistent and configurable distributed quarkus microservices application.

  • Implement fault tolerance

Implement fault tolerance in a microservice architecture.

  • Building and deploying native Quarkus Applications

Describe Quarkus Native and its deployment on OpenShift Container Platform.

  • Test microservices

Implement unit and integration tests for microservices.

  • Create application health checks

Create a health check for a microservice.

  • Securing microservices

Secure microservice endpoints and communication.

  • Monitor microservices

Monitor the operation of a microservice using metrics, distributed tracing, and log aggregation.

Mode d'organisation

Virtual Class

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Journée
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