DevOps Mastery 2026
@amitmund
July 09, 2026
DevOps Mastery 2026
The Complete Beginner to Advanced Guide to DevOps, Platform Engineering, CI/CD, Cloud Computing, Infrastructure as Code (IaC), Containers, Kubernetes, Observability, Security, GitOps, SRE, and Enterprise DevOps
Course Goal
This course is designed to take you from absolute beginner to production-ready DevOps Engineer, Platform Engineer, Site Reliability Engineer (SRE), Cloud Engineer, or DevSecOps Engineer.
By the end of this learning track, you will be able to:
- Understand DevOps Culture & Principles
- Master Linux Administration
- Master Git & GitHub
- Automate Infrastructure with Terraform
- Configure Systems using Ansible
- Build CI/CD Pipelines with Jenkins & GitHub Actions
- Master Docker & Kubernetes
- Deploy Applications to Cloud Platforms
- Implement GitOps Workflows
- Monitor Enterprise Infrastructure
- Implement DevSecOps Practices
- Design Production-Ready Infrastructure
- Troubleshoot Enterprise Systems
- Prepare for DevOps Interviews
Prerequisites
- Basic Computer Knowledge
- Linux Fundamentals (Recommended)
- Basic Networking
- Basic Programming (Python Recommended)
- Git Basics (Helpful)
Course Structure
Module 1 — DevOps Fundamentals
Chapter 1 — Introduction to DevOps
- Learning Objectives
- What is DevOps?
- History of DevOps
- Agile vs DevOps
- DevOps Lifecycle
- CALMS Framework
- DevOps Culture
- DevOps Principles
- DevOps Roles
- DevOps Roadmap
- DevOps Terminology
Chapter 2 — DevOps Architecture
- Development Workflow
- Operations Workflow
- Automation Pipeline
- Infrastructure Lifecycle
- Application Lifecycle
- Enterprise DevOps Architecture
- DevOps Toolchain
- Value Stream
Chapter 3 — DevOps Engineer Roadmap
- Required Skills
- Daily Responsibilities
- Career Path
- Certifications
- Portfolio Building
- Real-world Expectations
Chapter 4 — SDLC & SDLC Models
- Waterfall
- Agile
- Scrum
- Kanban
- Spiral
- DevOps SDLC
Chapter 5 — DevOps Lifecycle
- Plan
- Code
- Build
- Test
- Release
- Deploy
- Operate
- Monitor
- Feedback
Module 2 — Linux for DevOps
Chapter 6 — Linux Fundamentals
Chapter 7 — Linux Administration
Chapter 8 — Linux Networking
Chapter 9 — Bash Scripting
Chapter 10 — SSH
Chapter 11 — Cron Jobs
Chapter 12 — Systemd
Chapter 13 — Performance Monitoring
Chapter 14 — Security
Chapter 15 — Troubleshooting
Module 3 — Networking Fundamentals
Chapter 16 — OSI Model
Chapter 17 — TCP/IP
Chapter 18 — DNS
Chapter 19 — HTTP/HTTPS
Chapter 20 — Load Balancers
Chapter 21 — Reverse Proxy
Chapter 22 — SSL/TLS
Chapter 23 — Firewalls
Chapter 24 — VPN
Chapter 25 — Networking Troubleshooting
Module 4 — Git & Source Control
Chapter 26 — Git Fundamentals
Chapter 27 — GitHub
Chapter 28 — Branching
Chapter 29 — Merge Conflicts
Chapter 30 — Git Workflows
Chapter 31 — GitHub Actions
Chapter 32 — GitOps Introduction
Module 5 — Programming & Automation
Chapter 33 — Python for DevOps
Chapter 34 — Bash Automation
Chapter 35 — YAML
Chapter 36 — JSON
Chapter 37 — REST APIs
Chapter 38 — CLI Automation
Module 6 — CI/CD
Chapter 39 — CI/CD Fundamentals
Chapter 40 — Jenkins
Chapter 41 — GitHub Actions
Chapter 42 — GitLab CI
Chapter 43 — Azure DevOps
Chapter 44 — Pipeline Design
Chapter 45 — Deployment Strategies
Chapter 46 — Release Automation
Module 7 — Docker
Chapter 47 — Docker Fundamentals
Chapter 48 — Docker Images
Chapter 49 — Containers
Chapter 50 — Docker Networking
Chapter 51 — Docker Volumes
Chapter 52 — Docker Compose
Chapter 53 — Docker Security
Module 8 — Kubernetes
Chapter 54 — Kubernetes Fundamentals
Chapter 55 — Pods
Chapter 56 — Deployments
Chapter 57 — Services
Chapter 58 — Ingress
Chapter 59 — ConfigMaps
Chapter 60 — Secrets
Chapter 61 — Helm
Chapter 62 — Kubernetes Security
Module 9 — Infrastructure as Code
Chapter 63 — Terraform Fundamentals
Chapter 64 — Terraform Modules
Chapter 65 — Terraform State
Chapter 66 — Terraform Cloud
Chapter 67 — Infrastructure Automation
Module 10 — Configuration Management
Chapter 68 — Ansible Fundamentals
Chapter 69 — Playbooks
Chapter 70 — Roles
Chapter 71 — Inventory
Chapter 72 — Ansible Vault
Chapter 73 — Enterprise Automation
Module 11 — Cloud Computing
Chapter 74 — Cloud Fundamentals
Chapter 75 — AWS
Chapter 76 — Azure
Chapter 77 — Google Cloud
Chapter 78 — IAM
Chapter 79 — Networking
Chapter 80 — Compute
Chapter 81 — Storage
Chapter 82 — Serverless
Module 12 — GitOps
Chapter 83 — GitOps Fundamentals
Chapter 84 — Argo CD
Chapter 85 — Flux CD
Chapter 86 — Progressive Delivery
Chapter 87 — Canary Deployments
Chapter 88 — Blue-Green Deployments
Module 13 — Monitoring & Observability
Chapter 89 — Monitoring Fundamentals
Chapter 90 — Prometheus
Chapter 91 — Grafana
Chapter 92 — Loki
Chapter 93 — ELK Stack
Chapter 94 — Fluent Bit
Chapter 95 — Jaeger
Chapter 96 — OpenTelemetry
Chapter 97 — Alertmanager
Chapter 98 — Incident Response
Module 14 — Security (DevSecOps)
Chapter 99 — DevSecOps Fundamentals
Chapter 100 — Secure SDLC
Chapter 101 — Secret Management
Chapter 102 — SAST
Chapter 103 — DAST
Chapter 104 — Container Security
Chapter 105 — Kubernetes Security
Chapter 106 — Cloud Security
Chapter 107 — Compliance
Module 15 — Platform Engineering
Chapter 108 — Platform Engineering Fundamentals
Chapter 109 — Internal Developer Platforms
Chapter 110 — Self-Service Platforms
Chapter 111 — Golden Paths
Chapter 112 — Backstage
Chapter 113 — Platform APIs
Module 16 — Site Reliability Engineering (SRE)
Chapter 114 — Introduction to SRE
Chapter 115 — SLI
Chapter 116 — SLO
Chapter 117 — SLA
Chapter 118 — Error Budgets
Chapter 119 — Incident Management
Chapter 120 — Postmortems
Module 17 — Enterprise DevOps
Chapter 121 — Enterprise Architecture
Chapter 122 — Multi-Cloud Strategy
Chapter 123 — Hybrid Cloud
Chapter 124 — Disaster Recovery
Chapter 125 — High Availability
Chapter 126 — Scalability
Chapter 127 — Cost Optimization
Chapter 128 — Governance
Module 18 — AI for DevOps (AIOps)
Chapter 129 — Introduction to AIOps
Chapter 130 — AI-assisted Monitoring
Chapter 131 — AI-assisted Automation
Chapter 132 — AI-assisted Incident Response
Chapter 133 — AI Coding Assistants
Chapter 134 — AI Security
Module 19 — Real-World Enterprise Projects
Chapter 135 — Complete CI/CD Platform
Chapter 136 — Multi-Tier Kubernetes Platform
Chapter 137 — Enterprise Monitoring Stack
Chapter 138 — GitOps Platform
Chapter 139 — Multi-Cloud Infrastructure
Chapter 140 — DevSecOps Platform
Chapter 141 — Enterprise Platform Engineering
Chapter 142 — Production DevOps Environment
Module 20 — Interview Preparation
Chapter 143 — Beginner Questions
Chapter 144 — Intermediate Questions
Chapter 145 — Advanced Questions
Chapter 146 — Scenario-Based Questions
Chapter 147 — Troubleshooting Interviews
Chapter 148 — System Design
Chapter 149 — Mock Interviews
Chapter 150 — HR & Behavioral Interviews
Module 21 — Bonus
Chapter 151 — DevOps Tips & Tricks
Chapter 152 — Hidden Features
Chapter 153 — Productivity Hacks
Chapter 154 — Common Workarounds
Chapter 155 — Enterprise Best Practices
Chapter 156 — Future of DevOps
Every Chapter Includes
Each chapter follows the same professional structure:
- Learning Objectives
- Prerequisites
- Theory
- Internal Working
- Enterprise Architecture
- Mermaid Diagrams
- ASCII Diagrams
- Flowcharts
- Commands & CLI Reference
- Configuration Examples
- YAML Examples
- Docker Examples
- Kubernetes Examples
- Terraform Examples
- Jenkins Pipelines
- GitHub Actions Examples
- Ansible Playbooks
- Bash Scripts
- Python Automation Scripts
- Cloud Deployment Examples
- Real-world Examples
- Production Examples
- Enterprise Case Studies
- Best Practices
- Performance Optimization
- Security Notes
- Common Mistakes
- Troubleshooting Guide
- FAQs
- Hands-on Labs
- Home Lab Exercises
- Mini Projects
- Capstone Projects
- Exercises
- Quiz
- Interview Questions
- Challenge Problems
- Cheat Sheet
- Summary
- References
- Further Reading
- Revision Notes
- Glossary
Hands-on Labs
- Build a Complete Linux DevOps Lab
- Configure Git & GitHub Workflow
- Create Jenkins CI/CD Pipeline
- Build Docker Images
- Deploy Multi-Container Applications
- Deploy Kubernetes Cluster
- Configure Terraform Infrastructure
- Automate Servers with Ansible
- Configure GitHub Actions
- Deploy Applications to AWS
- Configure Monitoring Stack
- Implement GitOps with Argo CD
- Secure Applications using DevSecOps
- Build an Internal Developer Platform
- Create an Enterprise DevOps Platform
Capstone Projects
- Complete DevOps Home Lab
- Enterprise CI/CD Platform
- Kubernetes Production Platform
- Multi-Cloud Infrastructure
- GitOps Continuous Delivery Platform
- Enterprise Monitoring & Observability Stack
- DevSecOps Pipeline
- Platform Engineering Portal
- Highly Available Cloud Infrastructure
- End-to-End Enterprise DevOps Platform
Suggested Home Lab Architecture
- Linux (Ubuntu/Rocky Linux)
- Git & GitHub
- Docker
- Kubernetes
- Jenkins
- Terraform
- Ansible
- Prometheus
- Grafana
- Loki
- Argo CD
- NGINX
- HAProxy
- PostgreSQL
- Redis
- Vault
- AWS / Azure / GCP
Certification Preparation
This course prepares you for:
- Linux Foundation Certifications
- Docker Certified Associate (DCA)
- Certified Kubernetes Administrator (CKA)
- Certified Kubernetes Application Developer (CKAD)
- Certified Kubernetes Security Specialist (CKS)
- HashiCorp Terraform Associate
- Red Hat Ansible Certifications
- AWS Certified DevOps Engineer
- Azure DevOps Engineer Expert
- Google Professional Cloud DevOps Engineer
Estimated Course Size
- 21 Modules
- 156 Chapters
- 6,000+ Pages
- 5,000+ Commands
- 2,500+ Code & Configuration Examples
- 800+ Architecture Diagrams
- 400+ Hands-on Labs
- 100+ Production Projects
- Enterprise Case Studies
- Complete DevOps Interview Preparation
Final Outcome
After completing this learning track, you will be able to:
- Design, build, and operate enterprise-grade DevOps platforms
- Automate infrastructure and application delivery
- Master Linux, Git, Docker, Kubernetes, Terraform, Ansible, and Jenkins
- Implement GitOps, DevSecOps, and Platform Engineering practices
- Deploy scalable, secure, and highly available cloud-native applications
- Build complete CI/CD pipelines from scratch
- Monitor, troubleshoot, and optimize production environments
- Work confidently as a DevOps Engineer, Platform Engineer, Cloud Engineer, SRE, DevSecOps Engineer, or Solutions Architect
- Successfully pass major DevOps and Cloud certification exams
- Lead enterprise DevOps transformations and modern software delivery initiatives