Overview
DevOps is a culture and set of practices that bridges the gap between software development and IT operations. The goal: ship software faster, more reliably, and with fewer headaches. Before DevOps, developers would write code, then "throw it over the wall" to operations teams to deploy.
This caused friction, delays, and "it works on my machine" problems. DevOps engineers automate this entire process:.
Expected Salaries (2025)
Key Terms You Should Know
CI/CD (Continuous Integration/Continuous Deployment)
The core of DevOps automation. CI = automatically test code every time a developer pushes changes. CD = automatically deploy code that passes tests to production. Together, they create a pipeline that takes code from developer laptop to live server without manual intervention.
Docker
A tool for running applications in "containers." A container packages your application with all its dependencies, so it runs identically everywhere—your laptop, a server, or the cloud. Solves "works on my machine" problems.
Kubernetes (K8s)
A platform for orchestrating containers at scale. When you have dozens or hundreds of containers, Kubernetes manages them—starting new ones when traffic spikes, replacing crashed ones, distributing load.
Infrastructure as Code (IaC)
Managing servers and infrastructure with code files instead of clicking buttons in consoles. You write code that describes what infrastructure you want, and tools like Terraform create it. Version controlled, repeatable, reviewable.
Terraform
The most popular IaC tool. Write configuration files describing your cloud infrastructure (servers, databases, networks), run terraform apply, and Terraform creates everything. Works with AWS, Azure, GCP, and more.
Git
Version control for code. Every DevOps workflow starts with Git. You push code to Git, which triggers CI/CD pipelines. Learn Git inside and out.
Monitoring & Observability
Keeping track of system health. Metrics (numbers over time), logs (text records), and traces (request paths). Tools like Prometheus, Grafana, and Datadog help you spot problems before users do.
Cloud Platforms (AWS/Azure/GCP)
Companies like Amazon, Microsoft, and Google rent out computing resources. Instead of buying servers, you rent them by the minute. DevOps engineers are experts at leveraging cloud services.
The Complete Learning Path
Follow these steps in order. Each builds on the previous. All resources are 100% free.
Learn Linux & Command Line
Duration: 4-6 weeksWhat you'll learn: Linux is the operating system that runs most servers. You'll learn to navigate the filesystem, manage files, install software, write shell scripts, and understand processes and permissions.
Why it matters: Almost every server in the world runs Linux. DevOps work happens in terminals, not GUIs. Command line mastery is non-negotiable.
- Basic commands: ls, cd, cat, grep, find
- File permissions and ownership
- Process management (ps, kill, top)
- Bash scripting for automation
- SSH for remote server access
Master Git & Version Control
Duration: 2-3 weeksWhat you'll learn: Git tracks every change to code. You'll learn branching (working on features separately), merging (combining work), pull requests (code review), and resolving conflicts.
Why it's crucial: Every CI/CD pipeline is triggered by Git events (push, merge, tag). Understanding Git deeply is foundational.
Learn Docker & Containers
Duration: 4-6 weeksWhat you'll learn: Docker packages applications in containers—portable, isolated environments. You'll learn to build images (blueprints), run containers, manage networking, and use Docker Compose for multi-container apps.
- Image: A blueprint/template for a container
- Container: A running instance of an image
- Dockerfile: Instructions to build an image
- Docker Compose: Define multi-container applications
- Registry: Where images are stored (Docker Hub)
Free Resources
Docker CurriculumBeginner-friendly — Hands-on projectsLearn CI/CD Pipelines
Duration: 4-6 weeksWhat you'll learn: Automating the software delivery process. You'll set up pipelines that test code, build Docker images, and deploy to servers—all automatically when code is pushed.
Popular CI/CD tools:
Start with GitHub Actions—it's free, popular, and easy to learn.
- GitHub Actions: Built into GitHub, easy to start
- GitLab CI: Powerful, built into GitLab
- Jenkins: Highly customizable, older but prevalent
- CircleCI, Travis CI: Cloud-based options
Learn Cloud & Infrastructure as Code
Duration: 6-8 weeksWhat you'll learn: Cloud platforms (AWS, Azure, GCP) and managing infrastructure with code (Terraform). You'll provision servers, databases, and networks by writing configuration files.
Choose a cloud platform: AWS has the most jobs, but concepts transfer between platforms. Start with one.
Learn Terraform for infrastructure as code—it works with all major clouds and is the industry standard.
Learn Kubernetes & Monitoring
Duration: 6-8 weeksWhat you'll learn: Kubernetes orchestrates containers at scale. You'll deploy applications, configure scaling, manage configurations, and set up monitoring.
Kubernetes is complex but essential for senior DevOps roles. Take your time with it.
Monitoring stack: Prometheus (metrics), Grafana (dashboards), and alerting.
Free Resources
Kubernetes TutorialsOfficial documentationSave This Roadmap
Download a PDF version to track your progress offline.
