The DevOps Roadmap — How to Become a DevOps Engineer
A realistic, step-by-step path from Linux basics to a production-ready DevOps engineer — what to learn, in what order, and why each stage matters.
"DevOps roadmap" usually means one thing in practice: which skills to learn first so each new topic actually builds on the last, instead of jumping between disconnected tutorials. The order below is the one that holds up in real production environments — skip Linux and dive straight into Kubernetes, and most of what you learn won't stick.
Step by Step
The 8 stages of the DevOps roadmap
Nearly every production server, container and CI/CD runner runs on Linux. Before touching cloud or automation tools, get comfortable with the file system, permissions, package managers (YUM/DNF/APT), process management and shell scripting — this is the ground floor everything else sits on.
Every piece of infrastructure and application code you write from here on gets tracked in Git. Learn the core workflow (add, commit, push, pull, branch, merge), pull requests, and how teams collaborate through a shared GitHub repository.
Pick one cloud provider and go deep before spreading across others. AWS is the most widely adopted, so most DevOps roadmaps use it as the starting point: IAM, EC2, VPC networking, S3 storage, and load balancing form the core of almost every cloud architecture.
Learn how code moves from a commit to a running deployment automatically. Jenkins and GitHub Actions are the two most common starting points — understand build stages, automated testing, and artifact management (Nexus/JFrog).
Containerization is what makes "it works on my machine" mostly obsolete. Learn Docker images, Dockerfiles, multi-stage builds, and how to push images to a registry (Docker Hub or a cloud-native one like Amazon ECR).
Once you're running more than a handful of containers, you need orchestration. Kubernetes architecture, Pods, Deployments, Services and Helm charts are the standard here — and most teams eventually run it on a managed service like Amazon EKS.
Manually clicking through a cloud console doesn't scale and isn't repeatable. Terraform lets you define infrastructure in code — providers, resources, state management and modules — so environments can be recreated reliably.
Shipping code is only half the job — you need to know when something breaks. Prometheus and Grafana cover metrics and dashboards; tools like ArgoCD bring GitOps practices where your Git repository becomes the single source of truth for what's actually deployed.
Learning Roadmap
Your DevOps learning journey
A structured pipeline that takes you from beginner to production-ready DevOps engineer in just 4 months.
- 1Month 1
Linux & AWS Foundations
Get comfortable on the command line and stand up core AWS infrastructure.
LinuxEC2S3IAMVPCALBRDSCloudFrontACM - 2Month 2
Version Control & CI/CD
Automate builds and quality gates with Git-driven delivery pipelines.
GitGitHubMavenJenkinsSonarQubeTrivy - 3Month 3
Containers & Kubernetes
Containerize applications and run them on production-grade clusters.
DockerECSKubernetesHelmEKSECR - 4Month 4
IaC & Observability
Provision everything as code and ship with full monitoring in place.
TerraformAnsiblePrometheusGrafanaProduction Deployments
FAQ
Common roadmap questions
Most learners going from scratch to job-ready take 4-6 months of consistent, hands-on practice — not just watching tutorials. The exact time depends on your starting point (prior Linux/coding exposure helps) and how much hands-on project work you do along the way.
No. DevOps leans more on scripting, configuration and automation than traditional software development. Comfort with the command line and basic scripting (Bash/Python) is more important than deep programming experience.
Pick one and go deep rather than splitting attention across all three early on. AWS has the largest market share and the most job listings, which is why most roadmaps (including this one) use it as the default starting point — the core concepts transfer to other clouds once you understand one well.
Skipping to Kubernetes without Docker fundamentals first is one of the most common mistakes. Kubernetes orchestrates containers — if you don't understand containers themselves, the orchestration layer won't make sense.
Follow This Roadmap, Live
Learn every stage above, hands-on, in 4 Months
Phani Krishna teaches this exact progression in the DevOps with AWS program — with real projects at each stage, not just theory.