Docker Engine 1.11: Understanding Runc

The release of Docker 1.11 is the first time that the Docker Engine is compliant with the OCI specification.

What is OCI?
The Open Container Initiative (OCI) is an open governance project for the purpose of creating open industry standards around container formats and runtime. Container technologies have seen rapid growth over the last couple years and an open standard is needed to allow portability of containers across different vendors. Docker has been the de facto standard based on its overwhelming popularity, but there is a need for a more collaborative effort with the backing of a representative group of industry leaders.

The result of the OCI is the OCI specification, that defines standards around container formats and runtime. The first implementation of the specification is runc, which was contributed to open-source by Docker. Starting with Docker 1.11, the docker engine uses the runc format as the underlying technology for creating and running docker containers.

Today, I will go through the steps to run a container using only runc. We will then run a container using Docker Engine 1.11 and find the evidence of runc underneath the covers.


This tutorial uses runc 0.1.1 and Docker Engine 1.11 that both use OCI spec 0.6.0.

Install Docker Engine Version 1.11.

Install runc 0.1.1:

I used these commands to successfully install runc on a RHEL instance on aws.

Create a Runc Container

The open container specification is defined by a file system bundle and a compliant runtime (like runC) that can consume the bundle. Now that we have runc installed, let’s create the bundle.

The bundle consists of:
1. a folder named “rootfs” that represents the root file system of the container.
2. config.json that defines configuration

To make things easy, let’s use docker to export a rootfs, then we can use the runc spec command to generate a config.json file.

<code class="language-bash code-embed-code">mkdir rootfs  
sudo docker pull busybox  
sudo docker export $(sudo docker create busybox) | tar -C rootfs -xvf -  

Use the runc spec command to generate the config.json file:

runc spec  

You will now have a config .json file and a rootfs in your current directory. This file will have the OCI version in it:


Start a container with the name ‘test’: sudo runc start test:

Runc Container

Leave this container running for the next part of the tutorial.

Inspecting Docker Engine 1.11

Open up a new terminal. List the running containers using sudo runc list

Listing Containers Runc

You should see your test container running. Now, lets start a container using docker engine.

sudo docker run -d nginx  

Run sudo runc list to see the new docker container alongside your runc container. You can use sudo docker ps to compare the IDs.

Comparing Docker to Runc

You can find the runc config.json for your docker container in /var/run/docker/libcontainerd/{imageID}.

Docker Config Json

The config.js will show you the OCI version as well as the location of your rootfs which in my case (using devicemapper storage driver) is in the /var/lib/docker/devicemapper/mnt directory.

Docker Engine and Runc

Docker is built on top of runc, but there are actually a couple more components involved.

Docker Runc Architecture

Containerd is a daemon to control runc, built for performance and density. You will find evidence of this if you run ps -ef | grep docker on your host machine.

Docker ContainerD PS

The first two (Docker and docker-containerd) are daemons that run on the host. The docker-containerd-shim process is the result of starting my one docker container.

Detailed information about the OCI specifications:
Image Specification:
Runtime Specification:

I hope this was helpful in understanding how docker interacts with the OCI specification. Send me your thoughts on twitter @JohnZaccone.

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A Docker Captain and a Software Engineer at Ippon Technologies who likes getting things to market faster. Specializing in agile, microservices, containers, automation, REST, devops.
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Ippon Technologies is an international consulting firm that specializes in Agile Development, Big Data and DevOps / Cloud. Our 300+ highly skilled consultants are located in the US, France and Australia. Ippon technologies has a $32 million revenue and a 20% annual growth rate.