DevOps Full Roadmap

What is DevOps?

DevOps is a set of practices that combines development (Dev) and operations (Ops) to automate and integrate software development and IT operations. It focuses on:

● Continuous Integration (CI)

● Continuous Delivery (CD)

● Infrastructure as Code (IaC)

● Monitoring and Logging

● Collaboration and Automation

What DevOps Engineers Do:

● Write scripts for automation

● Set up CI/CD pipelines

● Manage cloud infrastructure (AWS, Azure, GCP)

● Monitor system performance

● Handle containerization (Docker, Kubernetes)

Top Companies Hiring DevOps Engineers:

● Google, Amazon, Netflix, Microsoft, IBM

● Infosys, TCS, Accenture, Wipro (India)

Salary Range (2025 Estimate):

● India: ₹8–30 LPA

● USA: $100K–$160K

● Canada: CAD 80K–120K

Complete Roadmap to Become a DevOps Engineer

Phase 1: Basics of Programming & Linux (2–3 Weeks)

What to Study:

● Learn basic programming (Python preferred)

● Linux commands & file systems

Free Resources:

● Python: freeCodeCamp Python Course

● Linux: Linux Command Line Full Course

Libraries: Python: os, subprocess, shutil

Things to Concentrate: Learn basic bash scripting and how Linux works

Phase 2: Version Control (1 Week)

What to Study:

● Git and GitHub basics

● Branching, merging, pull requests

Best Tool: Git (Essential for DevOps)

Free Resource:

● Git for Beginners - Crash Course

Phase 3: CI/CD with Jenkins (2–3 Weeks)

What to Study:

● CI/CD concepts

● Jenkins setup and pipelines

● Trigger builds, test, deploy

Why Jenkins: It's the most widely used and customizable CI/CD tool.

Free Resource:

● Jenkins Full Course (Simplilearn)

Phase 4: Scripting and Automation (2 Weeks)

What to Study:

● Shell scripting

● Automating repetitive tasks

● Cron jobs

Free Resources:

● Shell Scripting Crash Course

Phase 5: Containers & Docker (2–3 Weeks)

What to Study:

● Docker architecture

● Docker images, containers, volumes, Dockerfile

Best Tool: Docker

Why: Lightweight, fast, essential for building reproducible environments

Free Resource:

● Docker Full Course (freeCodeCamp)

Phase 6: Container Orchestration with Kubernetes (3 Weeks)

What to Study:

● Pods, Deployments, Services

● Minikube, kubectl

● Helm (optional for later stage)

Best Tool: Kubernetes

Why: Industry-standard for managing containers

Free Resource:

● Kubernetes Course (TechWorld with Nana)

Phase 7: Cloud Computing (3–4 Weeks)

What to Study:

● Basics of AWS (IAM, EC2, S3, Lambda)

● Deploy apps in the cloud

Best Cloud Provider to Learn: AWS

Why: It's the most popular and demanded in job listings

Free Resources:

● AWS Full Course (Simplilearn)

Phase 8: Infrastructure as Code (IaC) - Terraform (2 Weeks)

What to Study:

● Provisioning with Terraform

● Deploying infrastructure on AWS

Free Resource:

● Terraform Crash Course

Phase 9: Monitoring and Logging (2 Weeks)

What to Study:

● Prometheus, Grafana

● Log monitoring with ELK stack or Loki

Best Tool: Grafana + Prometheus

Why: Easy to set up, visually powerful

Free Resource:

● Monitoring with Prometheus & Grafana

Phase 10: DevOps Final Skills + Soft Skills (2 Weeks)

What to Study:

● Agile, Scrum, Communication

● Resume building, GitHub portfolio

● Mock interviews

Programming Languages for DevOps:

● Python – for scripting and automation

● Bash – for Linux shell scripting

● YAML/JSON – for configuration files

● Groovy – for Jenkins pipelines (optional)

Libraries to Learn (Python-specific):

● boto3 – AWS automation

● fabric – remote execution

● docker-py – Docker API

● loguru – Logging

● paramiko – SSH automation

● bandit – security analysis

Job-Ready Skills Checklist:

● Proficiency in Git, CI/CD pipelines, Docker, Kubernetes

● Hands-on with AWS or GCP

● Scripting with Python/Bash

● IaC using Terraform

● Monitoring with Grafana/Prometheus

● Soft skills & teamwork

Top 10 Project Ideas (Do After Each Phase):

1. Create a personal portfolio site and deploy on GitHub Pages or AWS

2. Automate backups using Python + Bash + Cron

3. Build a CI/CD pipeline using Jenkins for a Node.js app

4. Containerize a Python Flask app using Docker

5. Deploy a multi-container app using Docker Compose

6. Kubernetes Deployment: Setup a blog app with Nginx & Redis

7. Automate EC2 provisioning using Terraform

8. Create monitoring dashboard for a sample app using Grafana

9. Build a GitHub Action CI/CD pipeline (alternative to Jenkins)

10. Capstone Project: Full DevOps Pipeline from code to deploy with monitoring

Estimated Total Time to Become Job-Ready:

● 4–6 Months (daily 2–3 hrs of learning & practice)