Day 16 Task: Docker for DevOps Engineers.

This is #90DaysofDevops challenge under the guidance of Shubham Londhe sir.

Introduction

Welcome to Day 16 of your DevOps journey! Today, we're going to explore Docker, a fantastic tool that makes deploying and managing applications a breeze.

What's Docker Magic?

Docker is like a superhero for developers and operations folks. It lets you package your applications along with all the things they need to run, like libraries and tools, into something called a container. These containers are like mini-computers that you can run on any computer, server, or even in the cloud.

Why You'll Love Docker:

• Easy Setup: Docker makes setting up your application environments quick and painless.

• Consistency: With Docker, you can be sure your app will run the same way on your computer as it does in production.

Let's Dive into Docker Commands:

1. docker run: Getting Started

   • This command is your go-to for starting a new container.

   • Example: docker run -d -p 8000:8000 nginx:latest

     • It's like saying, "Hey Docker, I want to run this 'nginx' thing."

       

2. docker inspect: A Closer Look

   • This command lets you peek inside a container or image to see what's going on.

   • Example: docker inspect <container_or_image_id>

     • Use it to find out more about your containers and images.

       

3. docker port: Checking Ports

   • Sometimes you need to know which ports are open on a container. This command helps with that.

   • Example: docker port <container_id>

     • It tells you which ports of the container are connected to your computer.

       

4. docker stats: Keeping an Eye on Resources

   • Want to know how much CPU and memory your containers are using? This command has you covered.

   • Example: docker stats <container1> <container2>

     • Keep track of your containers' resource usage with ease.

       

       

5. docker top: Peeking Inside

   • This command lets you see what's happening inside a container.

   • Example: docker top <container_id>

     • Check out the processes running in your container.

       

6. docker save and docker load: Saving and Loading

   • Sometimes you want to save your Docker images to a file or load them back. These commands help you do just that.

   • Examples:

     • Save: docker save -o <output_file.tar> <image_name>

       

     • Load: docker load -i <input_file.tar>

       

With these commands, you'll be well on your way to becoming a Docker pro. Happy exploring!

Thank you for taking the time to read! 💚