
OpenShift Production Training
Learn What Real Clusters Actually Need
This training is not for beginners who want theory
and not for people chasing certificates only.
It is designed for professionals who want to work confidently on real OpenShift clusters used in production.
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❌ What This Training Is NOT
• Not Red Hat certification coaching
• Not slide-based theory
• Not “kubectl + YAML only”
• Not YouTube-style demos
If you want real production understanding, continue.
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✅ What You WILL Learn
This training focuses on how OpenShift is actually used inside companies.
Core Areas Covered:
🔹 OpenShift Architecture (Production View)
• Control plane vs worker nodes
• How OpenShift differs from vanilla Kubernetes
• Why enterprises choose OpenShift
• Common architecture mistakes
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🔹 Projects, Users & Security (Very Important)
• Projects vs namespaces (real difference)
• RBAC in OpenShift (real scenarios)
• SCCs (Security Context Constraints) explained properly
• Why apps fail due to permission issues
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🔹 Application Deployment (Real Way)
• Deploying apps using:
• YAML
• oc CLI
• Templates
• ImageStreams & BuildConfigs
• Source-to-Image (S2I) in real use
• Rollouts, rollbacks, and strategies
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🔹 Networking & Routes
• Services vs Routes
• Edge, Passthrough, Re-encrypt routes
• TLS issues in production
• Debugging route & service failures
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🔹 Storage in OpenShift
• PV, PVC in OpenShift context
• StorageClasses
• Common storage-related failures
• Debugging stuck pods due to storage
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🔹 Monitoring, Logging & Troubleshooting
• Reading pod, node, and cluster issues
• oc describe, oc logs, oc get events
• Debugging:
• CrashLoopBackOff
• ImagePullBackOff
• Pending pods
• How production issues are actually handled
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🔹 CI/CD with OpenShift (Practical)
• OpenShift + Jenkins basics
• GitOps overview (ArgoCD)
• How deployments flow in real teams
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🧠 How This Training Is Different
• Focus on WHY things break, not just HOW to deploy
• Production failure scenarios explained clearly
• No memorization — understanding-first approach
• Interview + job-oriented thinking
• Linux + Kubernetes concepts connected properly
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🧑💻 Who This Training Is For
• Linux / Kubernetes professionals
• DevOps engineers moving into OpenShift roles
• Support / Ops engineers working on OpenShift clusters
• Professionals rejected in OpenShift interviews
• Anyone working in enterprises using Red Hat OpenShift