In short: learn DevOps in this order: Linux → Git → scripting → CI/CD pipelines → containers (Docker) → Kubernetes → cloud and infrastructure as code → monitoring. Practice each step in a real terminal before you move on.
DevOps is not one tool. It is a way of delivering software quickly and safely, and the tools make sense only in the right order.
The roadmap
| Stage | Learn | Practice until you can… |
|---|---|---|
| 1. Linux | Shell, files, users, permissions, services, networking | Fix a broken service from the command line |
| 2. Git | Branches, pull requests, merges | Work in a team repository without fear |
| 3. Scripting | Bash, then Python or PowerShell basics | Automate a daily admin task |
| 4. CI/CD | Pipelines in Azure DevOps or GitHub Actions | Build, test and deploy an app on every commit |
| 5. Containers | Docker images, volumes, networks | Containerize an app and run it anywhere |
| 6. Kubernetes | Pods, deployments, services, config, storage | Deploy, scale and roll back an app |
| 7. Cloud and IaC | Azure or AWS, plus Terraform or Bicep | Recreate an environment from code |
| 8. Observability | Logs, metrics, alerts | Find the cause of an incident quickly |
How long does it take?
Someone with basic IT experience can become productive in four to six months of steady learning with weekly labs. The key word is steady: one hour a day of hands-on practice beats a weekend of videos.
Practice in a real terminal
You cannot learn Kubernetes from slides. INFOTICS labs give you a fresh Linux machine with Docker, or your own single-node Kubernetes cluster, in the browser: start the lab, follow the tasks and press Check to verify your work instantly.
Certifications along the way
- Linux: Red Hat RHCSA proves strong command-line skills.
- Pipelines: Microsoft Azure DevOps Engineer Expert (AZ-400, with an associate prerequisite).
- Kubernetes: Red Hat OpenShift administration, or the vendor-neutral Kubernetes exams from the Linux Foundation.
A sample 16-week plan
If you can give about eight to ten hours a week, this plan gets you from Linux basics to deploying on Kubernetes:
| Weeks | Focus | Small project to finish |
|---|---|---|
| 1–3 | Linux and the shell | Set up a web server, manage users and permissions, read logs |
| 4–5 | Git and scripting | Write a Bash script that backs up a folder and runs on a schedule |
| 6–8 | CI/CD | Pipeline that builds, tests and deploys a small web app on every push |
| 9–10 | Docker | Containerize the app; run it with a database using Docker Compose |
| 11–13 | Kubernetes | Deploy the app with a Deployment, Service and ConfigMap; scale it; roll back a bad release |
| 14–15 | Cloud and IaC | Recreate the environment with Terraform or Bicep |
| 16 | Monitoring | Add logs, metrics and an alert; break something on purpose and find it |
Put every project in a public Git repository with a short README. A hiring manager can see in five minutes that you can actually do the work.
Tools you will meet in job posts
- Version control: Git with GitHub, GitLab or Azure Repos
- CI/CD: Azure Pipelines, GitHub Actions, GitLab CI, Jenkins
- Containers and orchestration: Docker, Kubernetes, Red Hat OpenShift
- Infrastructure as code: Terraform, Bicep, Ansible
- Observability: Prometheus, Grafana, Azure Monitor, CloudWatch
You do not need all of them. Learn one tool in each row well; the others then take days, not months.
Common mistakes on the DevOps path
- Starting with Kubernetes. Without Linux and containers, Kubernetes feels like magic and nothing sticks.
- Collecting tools instead of finishing projects. One complete pipeline from commit to production teaches more than ten tutorials.
- Ignoring security. Keep secrets out of code, scan images and give pipelines only the permissions they need.
- Never breaking anything. Troubleshooting is the job. Break your lab on purpose and practice fixing it.
Frequently asked questions
Do I need to know programming for DevOps?
You need scripting (Bash and some Python or PowerShell) and the ability to read code, not to be a full software developer.
Should I learn Docker or Kubernetes first?
Docker first. Kubernetes runs containers, so you need to understand images and containers before orchestration makes sense.
Is DevOps a good career in Pakistan?
Software houses, banks and remote employers hire DevOps engineers, and the skills transfer well to remote and Gulf roles.
Where can I practice Kubernetes for free?
Start with a local cluster such as minikube or kind on your own computer, or use the INFOTICS Kubernetes playground in your learner portal.
See the DevOps Engineering program and Azure DevOps Engineer course, or book a free demo class.