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    published on January 01, 1970
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    modified on November 21, 2019

    Docker: Virtualize Your Development Environment Right

    Andrew Polosatov
    author:
    Andrew Polosatov
    Docker: Virtualize Your Development Environment Right

    — How to reduce deployment time and cost?
    — How to cut the time needed to set up a new Java project?
    — How to simplify your development environment?

    The answer that comes to mind first is virtualization. Let’s see what K&C’s Docker consultants have to say:

    Why Pure Virtualization is Not an Option for You

    In its essence, virtualization allows running of a few operational systems on a single machine, which turned out to be really helpful for testing purposes. But high processor loading, excessive usage of RAM and HD space, and the impossibility of reuse in case of unique configurations makes development processes too slow. Thus, virtualization doesn’t fit for software engineers and stakeholders wanting to deploy their app quickly.

    In 2010 HashiCorp introduced Vagrant. As a command line utility for virtualization software, it allows running of commands like [create virtual machine] and generation of complicated configurations. As a result, you can type a single [vagrant up] line in your terminal when you want to, say, run your project with PHP isolated in Ubuntu.

    Vagrant made virtualization tasks much simpler for developers, but the approach itself remained too resource-intensive, so in 2013 Solomon Hyckes introduced Docker.

    How Docker Changed The Way Hardware Is Virtualized

    Docker is an open-source platform that was created for rapid deployment and allows:

    — setting up the same environment anywhere you need
    — release of the application code in less time
    — performing quality assurance more quickly

    This becomes possible thanks to Docker’s container virtualization platform with processes and utilities managing RAM, HDD, CPU, etc. No matter what app you want to run inside Docker — a NodeJS web app, a Selenium server, a Java application or a Python script — each application will run in isolation inside its Docker container.

    And you can create as many containers on a single machine as you need!

    Under The Hood: How Docker Works

    In Docker, three main components do all the magic:

    — Linux Containers, a technology of virtualization that allows running several isolated OS instances on one host
    — Cgroups, a Linux kernel feature that limits, accounts for, and isolates the resource usage (CPU, memory, disk I/O, network, etc.) of a collection of processes
    — Linux Namespaces (lightweight process virtualization feature), used to organize isolated places called Docker containers

    Containers are similar to directories having everything applications may require to work. Each container is created from an image, a read-only template usually stored in a Docker registry (either private or public).

    Dockerfile creating an image with Ruby, Sass, and Gulp installed and then launching a container on top of it:

    Sounds great, but in practice, we usually need to launch a few containers at once to build a complete development or testing environment for an application. What to do then?

    One Step Further: Multi-Container Apps with Compose

    Docker’s Compose is a tool introduced for defining and running multi-container applications. To configure your app’s services, you must create a Compose file. Then, using a single [docker-compose up] command, you set up and start all services required for your configuration.

    Example of a docker-compose.yml file:

    The above-listed file will run an app that exists in 3 different docker images: app (with a nodeJS application), moodle (with PHP scripts and the Apache web server), and db (with a mySQL database).

    Long Story Short, Why Use Docker?

    Docker allows running any platform with its own configuration on top of your infrastructure without overloading its resources as in the case of virtual machines. It lets you put your environment and configuration into the code and deploy it.

    As a result, Docker allows our developers to:

    — be as close as possible to production
    — have a fast development environment available for interactive use
    — run different applications on the same host without any conflicts
    — dramatically reduce costs by running many instances on a single server
    — bring up new processes via containers within seconds

    And no wonder that not only K&C but leading software companies like Google and Facebook eventually turned to using Docker for their development matters as well.

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