Day16: Docker for DevOps

Day16: Docker for DevOps

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2 min read

What is Docker?

Docker is a software platform that allows you to build, test, and deploy applications quickly. Docker packages software into standardized units called containers that have everything the software needs to run including libraries, system tools, code, and runtime. Using Docker, you can quickly deploy and scale applications into any environment and know your code will run.

Why Docker is important for DevOps?

Docker is very important for DevOps due to its ability to create lightweight, portable containers that make applications flexible. This consistency across the development, testing and production environments ensures that the "this works on my machine" issue is mitigated. Docker's efficiency and support for microservices facilitate modern application development, while its role in CI/CD pipeline development processes. Docker containerizes the application for its fast and efficient delivery and deployment. It enables collaboration, automation and infrastructure as code practices to make applications reliable in development and deployment.

Docker Commands

If you haven't downloaded the docker yet, simply write sudo apt install docker.io to install docker on your system.

  • Use the docker run command to start a new container and interact with it. e.g. docker run hello-world.

  • Use the docker inspect command to view the detailed information about the container or image. e.g. docker inspect <your_container_id>

  • Use the docker port command to list the port mapping for a container.

  • Use the docker stats command to view the resource usage for a container.

  • Use the docker top command to view the processes running inside the container.

  • Use the docker save command to save the docker image to the tar archive.

  • Use the docker load command to load the docker image from the tar archive.

These commands are used for simple operations to manage docker images and containers.

<That's all for today. FOLLOW to join me in the journey of DevOps>

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