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The Red Hat OpenShift DO280 Training Syllabus focuses on managing and operating production-grade Kubernetes clusters using the OpenShift platform. It covers container orchestration, deployment, scaling, monitoring, security, and cluster administration tasks in real enterprise environments. This training explains how OpenShift simplifies Kubernetes management for application deployment and operations. It is important because organizations rely on container platforms to run scalable and resilient applications in cloud and DevOps ecosystems. It is ideal for system administrators, DevOps engineers, cloud professionals, and IT engineers who want to work with Kubernetes and OpenShift in production environments.
Focus: Production Kubernetes Cluster Administration using OpenShift
Level: Intermediate → Advanced
Duration of Training : 32 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
Red Hat OpenShift is an enterprise Kubernetes platform used for container
orchestration, DevOps automation, and production-grade deployments.
Duration: 5 Hours
🔹 Subtopics (22)
1. OpenShift Architecture Overview
2. Kubernetes vs OpenShift
3. Cluster Components (Master, Worker Nodes)
4. Control Plane Services
5. API Server & Scheduler
6. etcd Overview
7. Operators & Operator Lifecycle Manager (OLM)
8. OpenShift Installation Methods (IPI, UPI)
9. Infrastructure Requirements
10. DNS, Load Balancer Setup
11. Networking Basics
12. Cluster Authentication
13. Role-Based Access Control (RBAC)
14. OpenShift CLI (oc)
15. Web Console Overview
16. Projects & Namespaces
17. Resource Quotas
18. Limit Ranges
19. Cluster Health Checks
20. Logging Basics
21. Monitoring Basics
22. Best Practices
🧪 LAB:
• Install OpenShift (CRC / Cloud / Bare Metal)
• Explore Web Console & CLI
Duration: 5 Hours
🔹 Subtopics (20)
1. Pods & Pod Lifecycle
2. ReplicaSets
3. Deployments
4. StatefulSet
5. DaemonSets
6. Jobs & CronJobs
7. Services (ClusterIP, NodePort, LoadBalancer)
8. Routes (OpenShift speciaic)
9. ConfigMaps
10. Secrets
11. Persistent Volumes (PV)
12. Persistent Volume Claims (PVC)
13. Storage Classes
14. Labels & Selectors
15. Annotations
16. Namespaces
17. Resource Management
18. Health Checks (Liveness/Readiness)
19. Scaling Applications
20. Rolling Updates & Rollbacks
🧪 LAB:
• Deploy multi-tier application using YAML
Duration: 6 Hours
🔹 Subtopics (24)
1. Source-to-Image (S2I)
2. BuildConfigs
3. ImageStreams
4. DeploymentConfigs
5. Container Image Management
6. Private Registry Integration
7. Rolling Deployments
8. Blue-Green Deployment
9. Canary Deployments
10. Application Scaling
11. Auto Scaling (HPA)
12. Health Monitoring
13. Logs Analysis
14. Environment Variables
15. Secrets Injection
16. ConaigMap Usage
17. Resource Limits & Requests
18. Application Troubleshooting
19. Debugging Pods
20. CrashLoopBackOff Fix
21. Performance Optimization
22. CI/CD Integration Basics
23. Git Integration
24. Best Practices
🧪 LAB:
• Deploy application using S2I
• Implement Blue-Green Deployment
Duration: 5 Hours
🔹 Subtopics (22)
1. OpenShift SDN / OVN-Kubernetes
2. Pod Networking
3. Cluster Networking
4. Services Networking
5. Ingress vs Routes
6. Load Balancing
7. DNS in OpenShift
8. Network Policies
9. Egress & Ingress Traffic Control
10. Firewall Integration
11. Multi-Tenancy Networking
12. Secure Communication
13. TLS/SSL Configuration
14. External Access Configuration
15. Service Mesh Basics
16. API Gateway Concepts
17. Network Troubleshooting
18. Packet Flow Analysis
19. Monitoring Network
20. Performance Tuning
21. Debugging Network Issues
22. Best Practices
🧪 LAB:
• Configure routes and network policies
Duration: 4 Hours
🔹 Subtopics (20)
1. Persistent Storage Overview
2. PV & PVC Deep Dive
3. Dynamic Provisioning
4. Storage Classes
5. Block vs File Storage
6. NFS Integration
7. Cloud Storage (AWS EBS / Azure Disk)
8. Stateful Applications
9. Volume Mounts
10. Volume Snapshots
11. Backup Strategies
12. Data Persistence
13. Storage Security
14. Encryption
15. Storage Monitoring
16. Performance Optimization
17. Troubleshooting Storage
18. Capacity Planning
19. Disaster Recovery
20. Best Practices
🧪 LAB:
• Configure persistent storage for database
Duration: 5 Hours
🔹 Subtopics (24)
1. OpenShift Security Model
2. RBAC Deep Dive
3. Users & Groups
4. Service Accounts
5. Security Context Constraints (SCC)
6. Pod Security
7. Image Security
8. Vulnerability Scanning
9. OAuth Integration
10. LDAP Integration
11. Role Bindings
12. Cluster Role Bindings
13. Secrets Management
14. Encryption
15. Network Security
16. Admission Controllers
17. Pod Security Policies
18. Security Auditing
19. Compliance Policies
20. Security Monitoring
21. Incident Response
22. Zero Trust Security
23. Best Practices
24. Enterprise Security Scenarios
🧪 LAB:
• Configure RBAC & SCC
Duration: 5 Hours
🔹 Subtopics (22)
1. Cluster Monitoring Overview
2. Prometheus & Grafana
3. Metrics Collection
4. Alert Manager
5. Logging Stack (EFK/ELK)
6. Fluentd
7. Log Analysis
8. Events Monitoring
9. Debugging Pods
10. Node Troubleshooting
11. Cluster Health Check
12. Resource Utilization
13. Performance Monitoring
14. Crash Analysis
15. Network Troubleshooting
16. Storage Troubleshooting
17. API Server Debugging
18. etcd Troubleshooting
19. Incident Handling
20. Root Cause Analysis
21. Automation Monitoring
22. Best Practices
🧪 LAB:
• Monitor cluster using Prometheus
Duration: 4 Hours
🔹 Subtopics (20)
1. Operator Framework
2. Operator Lifecycle Manager (OLM)
3. Installing Operators
4. Managing Operators
5. Custom Resource Deainitions (CRDs)
6. Automating Deployments
7. Application Operators
8. Database Operators
9. Monitoring Operators
10. Scaling via Operators
11. Updating Operators
12. Operator Troubleshooting
13. Helm Charts Basics
14. GitOps Concepts
15. Integration with Argo CD
16. CI/CD Pipelines
17. Automation Best Practices
18. DevOps Integration
19. Version Control
20. Real-world Use Cases
🧪 LAB:
• Deploy application using Operator
Duration: 3 Hours
🔹 Subtopics (20)
1. Backup Strategies
2. etcd Backup
3. Restore Procedures
4. Disaster Recovery Planning
5. Cluster Upgrades
6. Node Maintenance
7. Draining Nodes
8. Scaling Cluster
9. Patching Nodes
10. Certificate Management
11. Rotation Policies
12. Cluster Expansion
13. Resource Cleanup
14. Performance Tuning
15. Cost Optimization
16. High Availability
17. Multi-Zone Setup
18. Maintenance Windows
19. Automation
20. Best Practices
🧪 LAB:
• Perform etcd backup & restore
🥇 Project 1: Production OpenShift Cluster Setup
• Install + conaigure cluster + networking
🥈 Project 2: Enterprise Application Deployment
• Multi-tier app with storage + scaling
🥉 Project 3: Secure OpenShift Cluster
• RBAC + SCC + network policies
🏅 Project 4: Monitoring & Logging System
• Prometheus + Grafana + ELK
🏆 Project 5: GitOps Deployment Pipeline
• CI/CD using Git + Argo CD
• Pod stuck in Pending state
• Image pull failure
• Network connectivity issue
• Storage volume not mounting
• Cluster node down
• etcd corruption scenario
• High CPU / Memory usage
• Security breach investigation
✔ Production-level OpenShift Administration
✔ Kubernetes + DevOps Integration Skills
✔ Troubleshooting & Automation Expertise
✔ Job-ready for roles like:
• OpenShift Administrator
• Kubernetes Administrator
• DevOps Engineer
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