Course Outline

Introduction to Containers, Kubernetes, and Red Hat OpenShift

  • Why containers? Understanding the container philosophy
  • Kubernetes basics: clusters, nodes, and control planes
  • Overview of Red Hat OpenShift features and architecture
  • OpenShift services and platform components

OpenShift Command-Line Interfaces and APIs

  • Accessing OpenShift clusters via CLI (oc) and web console
  • Using Kubernetes APIs to query cluster state
  • Managing resources with manifests

Running Applications as Containers and Pods

  • Understanding pods and container runtimes
  • Troubleshooting unmanaged Kubernetes pods

Deploying Managed and Networked Applications

  • Deploying applications using images and templates
  • Exposing applications to internal and external networks

Managing Storage for Applications

  • Externalizing configuration using ConfigMaps and Secrets
  • Persistent storage: volumes and claims

Configuring Applications for Reliability

  • High availability strategies
  • Scaling workloads
  • Health checks and readiness probes

Managing Application Updates

  • Updating container images safely
  • Managing configuration and manifest updates

Troubleshooting and Best Practices

  • Common network and application issues
  • Using logs and metrics to diagnose problems
  • When and how to escalate to platform teams

Summary and Next Steps

Requirements

  • An understanding of container technology and how Kubernetes works.
  • Experience with Linux command-line administration.
  • Some familiarity with container image management and basic Kubernetes manifests.

Audience

  • Platform Engineers
  • System Administrators and Cloud Administrators
  • Site Reliability Engineers (SREs) and DevOps Practitioners
 28 Hours

Delivery Options

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