DO121

  • Length 1 day or 1 week
  • Price From $999
  • Inclusions Certificate of Attendance

DO121 Introduction to Microsoft Azure Red Hat OpenShift Training Course

DO121 Introduction to Microsoft Azure Red Hat OpenShift Course

The Introduction to Microsoft Azure Red Hat OpenShift (DO121) course is designed for IT professionals looking to master the deployment and management of Azure Red Hat OpenShift (ARO) clusters. This course provides a comprehensive understanding of how to provision, configure, and optimise OpenShift clusters running on Microsoft Azure. Participants will learn to create both public and private OpenShift clusters, integrate them with Red Hat cloud services, and manage identity and access controls.

Through hands-on labs and real-world scenarios, learners will gain expertise in scaling clusters, configuring persistent storage, and automating infrastructure tasks. The course also covers cluster security, log forwarding to Azure Monitor, and advanced networking configurations, ensuring the smooth operation of containerised workloads on Azure.

This course is designed for cloud administrators, DevOps engineers, and system administrators who manage containerised applications in cloud environments. By the end of the program, participants will be able to manage OpenShift clusters on Azure’s enterprise-grade Kubernetes platform, improving operational efficiency and cloud-native application deployments.

This course is available in Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth, Hobart and throughout Australia Live Virtually.

  • Knowledge of Microsoft Azure computing, storage, and networking
  • Basic understanding of Kubernetes and containerization

Recommended prior training:

  • DO180 – OpenShift Administration I: Operating a Production Cluster
  • DO280 – OpenShift Administration II: Operating a Production Kubernetes Cluster

Alternative learning resources:

  • Red Hat Developer Sandbox for OpenShift
  • DO080 – Containers, Kubernetes, and Red Hat OpenShift Technical Overview

There is no certification exam associated with this course.

Introduction to Microsoft Azure Red Hat OpenShift material provided 

  • Understanding Microsoft Azure Red Hat OpenShift (ARO) architecture
  • Deploying and managing OpenShift clusters on Azure
  • Configuring networking and security for ARO clusters
  • Integrating Azure services with OpenShift applications
  • Monitoring and troubleshooting OpenShift workloads on Azure
  • Cloud Engineers and Administrators managing workloads on Azure
  • Platform Engineers responsible for containerised application deployment
  • System Administrators and DevOps Professionals working with hybrid cloud environments
  • Developers building and deploying applications on OpenShift

1.Setting Up an OpenShift Cluster on Azure

  • Deploy and configure a managed OpenShift cluster on Microsoft Azure
  • Understand cluster provisioning for both public and private access

2. Understanding Managed OpenShift Clusters

  • Learn the shared responsibilities between customers and cloud providers
  • Explore the role of Microsoft and Red Hat’s Site Reliability Engineering (SRE) team

3. Preparing for Deployment

  • Identify deployment options: public vs. private mode
  • Configure an Azure cloud account and set up a management workstation

4. Deploying an OpenShift Cluster

  • Set up an internet-accessible OpenShift cluster using the Azure portal
  • Examine the key cloud resources that make up the cluster

5. Managing Cluster Access

  • Retrieve administrator credentials for OpenShift cluster access
  • Configure role-based access control (RBAC) for users

6. Cluster Configuration and Optimisation

  • Set up the cluster for application development
  • Implement identity providers to enable self-service project creation for developers

7. Integrating with Red Hat Cloud Services

  • Connect the OpenShift cluster to Red Hat cloud services
  • Explore benefits like automation, monitoring, and security enhancements

8. Storage and Compute Optimization

  • Assign appropriate Azure disk storage based on application needs
  • Configure additional storage classes for cost and performance efficiency

9. Scaling and Performance Management

  • Create dedicated node pools for different workloads
  • Enable automatic scaling based on application demand

10. Log Management and Monitoring

  • Configure log forwarding to Azure Monitor for better visibility and troubleshooting
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