CI/CD and DevOps for Docker

Build, Ship, and Deploy Docker apps

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Why Docker?

Containers have been around for a long time, but never found mainstream acceptance because using them was complicated. An open source project Docker changed the game by simplifying container workflows and this has resulted in a lot of excitement around using containers in all stages of the software delivery lifecycle, from development to production.

Docker has become so mainstream in the short time since it debuted in 2013 that the big giants like Amazon, Cisco, Google, Microsoft Red Hat, VMWare, and others have created the Open Container Initiative to develop a common standard around it.

Automating Docker workflows

Docker vs VMs

Virtual machines (VMs) are an abstraction of physical hardware. Using a layer called a hypervisor, you can run multiple 'virtual' machines on one physical machine. Each VM includes a full copy of an operating system, as well as applications and the required binaries and libraries.

Docker, just like any container technology, offers abstraction at the application layer. The host OS is shared by all containers running on the host and each container packages applications and the required binaries and libraries. Each container runs as an isolated process in user space. Since they do not include a copy of the OS, Docker containers are very lightweight when compared to VMs.

Here are the pros and cons of using Docker vs VMs. In most cases, you don't have to make a choice of one vs the other. Docker and VMs are better together and you can run containers on VMs.

Pros of using Docker

  • Docker containers start up almost instantly since they're lightweight and use less compute and RAM. You can also run more containers on a machine than VMs.
  • Images are constructed from filesystem layers and share common files. This minimizes disk usage and image downloads are much faster.
  • Docker apps are portable since they follow the 'Build Once, Run Anywhere' mantra.
  • You can benefit from the rich collection of public images from Docker Hub and use that as a starting point to build your own image.
  • Docker makes it easier to adopt a microservices architecture since each service can be shipped in a lightweight container.


  • While Docker has made great advances in container security, VMs are still the right choice if you want complete isolation .
  • Docker helps with breaking down your app into microservices, but unless you have the processes and automation in place, having many services that are shipped independently might end up complicating your software delivery workflow and slowing you down.

Get started with CI/CD and DevOps for Docker

Shippable's native Docker integration helps you easily build, ship, and deploy Docker apps.

Build Docker images

Build Docker images from a Dockerfile as part of your CI and CD workflows. Use custom images for your DevOps jobs to avoid installing dependencies! Learn more

Integrate with any Docker Registry

Manage your images and dependencies on any Docker registry, like Docker Hub, Amazon ECR, GCR, Quay, or your self-hosted private registry. Learn more

Deploy to any orchestration platform

With Shippable, you can deploy Docker apps to any orchestration platform, including Amazon ECS, Kubernetes, GKE, Triton, or Microsoft Azure. Learn more

Continuous Delivery for Docker

Continuous Delivery for Docker

Read how Continuous Delivery for Docker works with Shippable and what is supported. Learn how to configure your CD workflows and use our various third party integrations to connect the tools you already use and love.

Example of how you can automate continuous delivery

Sample Docker application

The best way to learn about anything is to experience it. In less than 10 mins, our sample will walk you through how to set up and end to end Continuous Delivery pipeline for a simple Node.js app.

Webinar: DevOps Automation

Avi Cavale describes the ideal DevOps platform and shows a demo of how you can easily automate your DevOps pipeline from GitHub to AWS in just a few minutes...[]

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