Giter VIP home page Giter VIP logo

docker-kubernetes-series's Introduction

Introduction

This tutorial will give you an introduction to Docker and Kubernetes. To get to a particular section, switch to the relevant branch.

  • In Section 1 - Building with Docker, we build a simple Docker container.

  • In Section 2 - Microservices with Docker Compose, we will learn how to use Docker Compose to network multiple Docker containers together.

  • In Section 3 - Scaling with Kubernetes, we will make our application scalable by deploying it to Kubernetes.

While the basic steps are outlined in each branch in the README file, to follow along with the full tutorial, access the Notion template.

Installing Docker Desktop

  1. Navigate to the Docker website and download the Docker Desktop installer for your Mac or Windows operating system.

  2. Once the download finishes, click the installer to install Docker Desktop Community Edition on your machine.

  3. To ensure that Docker installed correctly, open a terminal window and run docker run hello-world. If it is successful you should get the following output:

Hello from Docker!
This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:
 1. The Docker client contacted the Docker daemon.
 2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
    (amd64)
 3. The Docker daemon created a new container from that image which runs the
    executable that produces the output you are currently reading.
 4. The Docker daemon streamed that output to the Docker client, which sent it
    to your terminal.

To try something more ambitious, you can run an Ubuntu container with:
 $ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker ID:
 https://hub.docker.com/

For more examples and ideas, visit:
 https://docs.docker.com/get-started/

NOTE: Docker also comes installed with Kubernetes, so this one install takes care of both dependencies!

docker-kubernetes-series's People

Contributors

cthompson-insight avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.