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Docker container packages up the code of an application and all its dependencies so that the application can run unchanged in any environment. A Docker container includes everything needed to run an application: code, runtime, system tools, system libraries, and settings. More about Docker here and here.
In Linux Mint, open a terminal and type:
In this article, I'll show you how to build and run a Docker image. Docker is a valuable tool for developing and deploying applications. It can seem complicated when you're first getting started, so I'll map out the process step-by-step for you. I'll be using Python code examples, but you can easily adapt this tutorial to your language of choice.
If you want to follow along, you'll need a system with Docker installed on it. For a Windows or macOS desktop, you can download and install the program from the Docker Desktop website. With Linux, you can install it using the package manager for your distribution. I'll be using examples from the Linux command line, but they'll be simple enough that you can adapt them to Windows or Mac.
In this article, you’ll install and use Docker Community Edition (CE) on Ubuntu 18.04.
The Docker installation package available in the official Ubuntu repository may not be the latest version. To ensure we get the latest version, we’ll install Docker from the official Docker repository. To do that, we’ll add a new package source, add the GPG key from Docker to ensure the downloads are valid, and then install the package.
In this tutorial, we will guide you step-by-step on how to deploy three separate pods (the Kubernetes equivalence of a container) for KillBill, Kaui, and MariaDB on an OpenShift cluster.
The recommended way of installing Docker and Docker Compose is via Docker’s repositories, for ease of installation and upgrade tasks.