0.1 Why DevOps after (or beside) AWS
Open Instagram or Netflix late at night. By morning a new button or a bug fix is live. The feed still scrolls. Who ships that change without breaking the app?
That work is DevOps — short for Development and Operations working as one team. Developers write the app. Operations means the people who work on the server side — they put the app on the server, keep it running, check logs, and get the call when the site is down. DevOps is the shared way of building, testing, shipping and watching software so changes go out safely and often.
This site already has a full AWS Cloud course. There you launch EC2, practise Linux, host websites, and learn VPC and DNS. That course stays the home for cloud depth.
This DevOps course sits beside it. Here you learn the tools and habits companies use after the server exists: Git, Docker, CI/CD pipelines, Ansible, Terraform, monitoring, and a first look at Kubernetes.
| Course | You focus on | Example |
|---|---|---|
| AWS Cloud | Cloud building blocks | Launch EC2, Security Groups, Nginx, VPC |
| DevOps | Ship and run changes safely | Git history, Docker image, GitHub Actions, rollback |
You can start DevOps if you already know a little Linux and can open a terminal. If you have not launched an EC2 instance yet, do the AWS chapter on EC2 first, then come back. We will link to that chapter. We will not re-teach launch, VPC or DNS here.
Running stories in this course
Through this course we use real-world suppose we are… stories: an Instagram-style profile badge update, Netflix-style frequent shipping, and an Infosys-style client handoff. They are teaching stories — not product endorsements and not fictional food brands.
Ravindra Bagale's Tip
Khup students vatta DevOps mhanje "Docker aani Kubernetes path karne". Interviews madhe process aani ownership pan vichartaat — kon code merge karto, staging vs prod, rollback kasa. Tools shika, pan flow first. Dhyan rakho!