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Bridge to Docker

Once we understand the DevOps motivation, the next obvious question is:

“Okay, so how do we make our Node app run consistently across environments?”

Enter Containers

That is exactly where containers become useful. Docker helps us define a repeatable runtime by packaging the application and its world together.

Using tools like a Dockerfile (Infrastructure as Code) and generating an image (Immutable Infrastructure), we can package:

  • the app
  • its dependencies
  • its execution environment
  • its startup behavior

That makes Docker a incredibly strong entry point into the practical, hands-on side of DevOps.

Lesson 02 will take these ideas and make them concrete through:

  • containers vs virtual machines
  • Docker Engine, images, containers, and layers
  • writing a Dockerfile
  • using .dockerignore
  • building an image
  • running a container
  • mapping ports
  • getting the Node app running in Docker
Theory to Practice

This is the shift from why this matters to how we do it. You need the theory to build reliable systems, but you need the practice to actually ship them.


Docker: Why Docker?

We’ve covered a lot of ground in this foundational lesson. Let’s recap the core ideas before we step onto the deck and start working with containers.