Radical Technologies
REDHAT LINUX | UNIX
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RED HAT OPENSHIFT DO280

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

RT
Radical Technologies
50,000+ English 32 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

RED HAT OPENSHIFT DO280

IT Training Programme

Duration 32 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

13 sections covering the complete curriculum — a single, progressive learning arc.

32 hours
Training Duration
13
Core Modules
228
Total Lessons
4.4
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a REDHAT LINUX | UNIX role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

13 sections  •  228 lessons  •  32 hours

01 About OpenShift
Red Hat OpenShift is an enterprise Kubernetes platform used for container

orchestration, DevOps automation, and production-grade deployments.

02 Module 1: Openshift Architecture & Cluster Setup

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
03 Module 2: Kubernetes Core Concepts In Openshift

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
04 Module 3: Application Deployment & Management

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
05 Module 4: Openshift Networking

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
06 Module 5: Storage Management

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
07 Module 6: Security & Rbac

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
08 Module 7: Monitoring, Logging & Troubleshooting

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
09 Module 8: Operators & Automation

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
10 Module 9: Backup, Restore & Cluster Maintenance

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
11 Capstone Projects

🥇 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
12 💼 Real-time Enterprise Scenarios
• 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
13 🎯 Final Outcome
✔ Production-level OpenShift Administration
✔ Kubernetes + DevOps Integration Skills
✔ Troubleshooting & Automation Expertise
✔ Job-ready for roles like:
• OpenShift Administrator
• Kubernetes Administrator
• DevOps Engineer

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

228+
Hands-On Lessons
13
Core Modules
32 hours
Training Duration
100%
Practical Training

You don't just learn RED HAT OPENSHIFT DO280. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies