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Learn DevOps

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DevOps is a set of practices and a culture that brings software development and IT operations together so teams can release changes often and reliably. In practice it means automating the path from a code commit to production: version control, automated tests, CI/CD pipelines, container images, infrastructure as code, and monitoring that tells you when something breaks. Typical tools include Git, GitHub Actions or GitLab CI, Docker, Kubernetes, Terraform, Prometheus and Grafana. It is a broad field, so order matters. Learnr builds a personalized DevOps course and teaches each layer through short, practical lessons.

How to learn DevOps, step by step

  1. Build a Linux and networking base. Get comfortable with the shell, file permissions, processes, systemd services and SSH. Learn DNS, ports, HTTP and what a load balancer does, because every later tool assumes this knowledge.
  2. Script and version everything. Write Bash scripts for repetitive tasks and keep them in Git with branches and pull requests. Version control is the backbone of DevOps, since pipelines and infrastructure all start from a commit.
  3. Set up a CI/CD pipeline. Take a small web app and add a GitHub Actions or GitLab CI workflow that installs dependencies, runs tests and lints on each push. Then add a deploy step that only runs on the main branch.
  4. Containerize, then orchestrate. Write a Dockerfile, run the app with Docker Compose alongside a database, and push the image to a registry. Once that is routine, deploy it to a local Kubernetes cluster with kind or minikube.
  5. Provision infrastructure with code. Use Terraform to create the cloud resources your app needs and run it from the pipeline. Rebuilding the environment from scratch is the test that it is truly codified.
  6. Monitor, alert and learn from failures. Expose metrics to Prometheus, graph them in Grafana and alert on error rates. Write a blameless postmortem for a failure you cause on purpose, and use Learnr lessons to review each tool's concepts.

What you'll learn

  • Work confidently in Linux, the shell and Git
  • Build CI/CD pipelines that test and deploy on every push
  • Package apps as Docker images and run them on Kubernetes
  • Manage infrastructure as code with Terraform
  • Set up monitoring, logging and alerts for a running service

What's inside your DevOps course

A sample path Learnr builds for DevOps. Your real course adapts to your goal and level.

  • 1. DevOps culture and the software delivery lifecycle
  • 2. Linux, networking and scripting basics
  • 3. Git workflows and CI/CD pipelines
  • 4. Containers and orchestration
  • 5. Infrastructure as code and cloud
  • 6. Monitoring, incidents and reliability

How long does it take to learn DevOps?

Someone with programming or IT experience can learn the core toolchain in about 4 to 8 months at 8 to 10 hours a week. Starting without Linux or coding background, expect closer to a year. Real-world operations experience keeps deepening after that.

What you need before you start

Basic programming in one language and comfort using a computer's terminal. Linux familiarity is the single most useful starting point.

Common mistakes to avoid

  • Collecting tool tutorials, Kubernetes first, without Linux and networking basics. Learn the foundations so you can debug what the tools hide.
  • Treating DevOps as a job title or a toolset only. The point is faster, safer delivery, so measure lead time and failures, not tools installed.
  • Building pipelines that deploy without tests or rollback. Add automated checks and a way back before you automate the release.

How Learnr builds your course

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DevOps questions, answered

Do I need to know how to code for DevOps?

Yes, at least scripting. You will write Bash or Python, pipeline files in YAML and infrastructure code, and you need to read application code when debugging deployments.

What is the difference between DevOps and SRE?

DevOps is a broad set of practices for collaboration and automation. Site reliability engineering, which began at Google, is a specific way to run production with service level objectives and error budgets.

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