DevOps Learning Roadmap Beginner to Advanced

 

Here’s a detailed DevOps learning roadmap with estimated hours for each section, guiding you from beginner to advanced level. This plan assumes 10-15 hours per week of study and hands-on practice.

1. Introduction to DevOps (5 Hours)

✅ What is DevOps? (1h)
✅ DevOps principles and culture (1h)
✅ Benefits of DevOps (1h)
✅ DevOps vs Traditional IT Operations (2h)

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2. Linux Basics & Scripting (10 Hours)

✅ Linux commands and file system (3h)
✅ Process management & user permissions (2h)
✅ Shell scripting (Bash, Python basics) (5h)

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3. Version Control Systems (VCS) (8 Hours)

✅ Introduction to Git and GitHub (2h)
✅ Branching, merging, and rebasing (2h)
✅ Git workflows (GitFlow, Trunk-based development) (2h)
✅ Hands-on GitHub projects (2h)

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4. Continuous Integration & Continuous Deployment (CI/CD) (15 Hours)

✅ What is CI/CD? (1h)
✅ Setting up a CI/CD pipeline (2h)
✅ Jenkins basics (3h)
✅ GitHub Actions & GitLab CI/CD (3h)
✅ RazorOps & modern CI/CD tools (3h)
✅ Automated testing in CI/CD (3h)

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5. Containerization & Orchestration (20 Hours)

✅ Introduction to Docker (3h)
✅ Building and managing Docker containers (3h)
✅ Docker Compose & networking (4h)
✅ Kubernetes architecture & components (4h)
✅ Deploying applications on Kubernetes (6h)

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6. Infrastructure as Code (IaC) (15 Hours)

✅ What is Infrastructure as Code? (2h)
✅ Terraform basics (3h)
✅ Writing Terraform scripts (5h)
✅ AWS CloudFormation basics (5h)

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7. Configuration Management (10 Hours)

✅ Introduction to Ansible, Chef, Puppet (2h)
✅ Writing Ansible playbooks (5h)
✅ Automating server configurations (3h)

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8. Cloud Computing & Deployment (20 Hours)

✅ Overview of AWS, Azure, GCP (5h)
✅ Virtual machines & networking (5h)
✅ Serverless computing (Lambda, Azure Functions) (5h)
✅ Deploying applications on the cloud (5h)

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9. Monitoring & Logging (12 Hours)

✅ Why monitoring is important? (2h)
✅ Prometheus & Grafana (3h)
✅ ELK Stack (Elasticsearch, Logstash, Kibana) (3h)
✅ Application performance monitoring (APM) tools (4h)

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10. Security in DevOps (DevSecOps) (12 Hours)

✅ Introduction to DevSecOps (2h)
✅ Securing CI/CD pipelines (4h)
✅ Secrets management (Vault, AWS Secrets Manager) (3h)
✅ Compliance & security best practices (3h)

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11. Advanced DevOps Topics (15 Hours)

✅ GitOps (ArgoCD, FluxCD) (5h)
✅ Service Mesh (Istio, Linkerd) (4h)
✅ Chaos Engineering (Gremlin, Litmus) (3h)
✅ Kubernetes Operators (3h)

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12. DevOps Interview Preparation & Job Readiness (10 Hours)

✅ Resume building for DevOps roles (2h)
✅ Common DevOps interview questions (3h)
✅ Hands-on project ideas (3h)
✅ Contributing to open-source DevOps projects (2h)

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Total Estimated Time: ~150-160 Hours

📅 Suggested Timeline:

• 3-4 months (if studying 10-15 hours per week)
• 2 months (if studying 20+ hours per week)

Would you like me to suggest specific courses, books, or hands-on projects for each section? 🚀

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✅ Hands-on guidance on real-world DevOps tools
✅ Tips on landing a DevOps job and interview preparation

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