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Docker can be run on most major Linux distributions, and there are tools to let you run it on OSX and Windows too. You can keep tabs of what changed when new versions were pushed and more. It also becomes simple to distribute your Docker images publicly or privately.

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You can distribute an application, and members of another team do not need to know how to configure or set up its environment. Developers and Operation Managers Can Work Togetherĭocker’s toolset allows developers and operation managers to work together towards the common goal of deploying an application.ĭocker acts as an abstraction. This not only helps with scaling up and down quickly, but it also makes your deployments more predictable and resilient. Once the image has been built, you can move it around to many hosts. Time-consuming tasks such as installing dependencies only need to be run once at build time. This makes it very easy to scale up and down. Since your applications are inside of a pre-built Docker image, they can be started in milliseconds.

Build Your Image Once and Deploy It Many Times You can hand them a Docker image and tell them to run it. You no longer have to worry about other developers having to set up your technology of choice. Since you can isolate an application in a Docker container, it becomes possible to broaden your horizons as a developer by experimenting with new languages and frameworks. If you’re a startup or a shop that uses only one language, you could be putting yourself at a disadvantage. You just run a few commands, and minutes later it all works. With Docker all developers in your team can get your multi-service application running on their workstation in an automated, repeatable, and efficient way. This process can take all day or longer, and the new developer is bound to make mistakes. You should not have to hand over a 30 page document to a new developer to teach them how to set up your application so they can run it locally.

It will work properly in all environments and on all machines capable of running Docker. Cross Environment Consistencyĭocker allows you to encapsulate your application in such a way that you can easily move it between environments.

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If you’re constantly looking for ways to improve your productivity and make the overall software development experience better, you’ll appreciate the following 5 key benefits Docker offers: 1. What if you wanted to share your project on GitHub and other developers only had to run a single command to get everything running in minutes?Īll of this and much more is possible thanks to Docker. What if you could spin up your Rails, PostgreSQL, Redis, and Sidekiq stack in about 5 seconds? What if as a consultant or freelancer with 10 Rails projects, you had everything you needed isolated for each project without needing to waste precious SSD disk space? What if you could develop your Rails application in isolation on your work station without using RVM or chruby, and changing Ruby versions were super easy? Docker is very lightweight-it typically takes a few milliseconds for a container to start, and running a container doesn’t use much disk space at all. It also takes many seconds to boot-up a virtual machine, and each VM can potentially be gigabytes in size.ĭocker containers share your host’s kernel, and isolation is done using cgroups and other linux kernel libraries. They allow you to isolate services, but there are a few major differences that make virtual machines much less efficient.įor starters, you need to have an entire guest operating system for each application you want to isolate. You may have used Vagrant, VirtualBox, or VMWare to run a virtual machine. What Makes Docker Different from a Virtual Machine

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The Docker image contains the code, runtime, system libraries and anything else you would install on a server to make it run if you weren’t using Docker. This unit is typically labeled as a Docker image.Įverything the application needs to run is included. TomFern / dockerizing-ruby What is Docker?ĭocker allows you to package up an application or service with all of its dependencies into a standardized unit.