Tales of a Part-time Sysadmin: Dogfooding Docker to test Docker
This is a tale about how we use Docker to test Docker. Yes, I am familiar with the meme. Puhlease.
Many of you are familiar with the fact I work on the Docker core team. Which consists of fixing bugs, doing releases, reviewing PRs, hanging out on IRC, mailing lists etc etc etc. But what you may not know is that in addition to all these things I also manage our testing infrastructure. Now really this in itself could be a fulltime job. However it is not my fulltime job, nor would I ever want it to be. [insert gif about yak shaving here]
This blog post is going to be about how I manage ~50 servers but don’t do anything at all. Of course, I have my angry sysadmin moments when everything breaks and I could punch a whole in a wall… but who doesn’t?
First let me take a chance to familiarize you with how we test Docker. Docker’s tests run in a Docker container. We use Jenkins as our CI mostly because we needed a lot of flexibility and control.
Obviously everything in our infrastructure runs in Docker, so that even goes for Jenkins. We use the official image for our Jenkins container.
Docker itself has 6 different storage driver options. These are
zfs. We have servers that use
each of these hooked up to our Jenkins instance for testing.
Along with all the storage driver options, Docker also runs on any linux distro and a world of different linux kernel versions. In order to be able to try and test all this differentiation, each server runs a different kernel and all major linux distros are accounted for.
With every push to master on the docker/docker repo, we run tests on the entire
storage driver matrix. We also trigger builds to test the unsupported
execdriver for Docker. And we trigger builds to test the Docker Windows
client. Right there is three different jobs running on 8 different servers just
for 1 push to master.
Did I mention we have 9 Windows servers and 9 linux remote hosts paired with those servers for testing Docker on Windows?
With every pull request to Docker we kick off 3 builds on 3 different servers. We have 8 linux Docker nodes reserved exclusively for testing PRs. These run the Docker tests and the new “Experimental Tests”. The last of the 3 is the Windows client test.
Considering the Docker project gets over 100 pull requests a week, with multiple revision cycles you can only imagine the number of builds we process in a day.
The manager for the PR builds is a small service called leeroy which also makes sure every PR has been signed with the Docker DCO before it even triggers a build. This of course also runs in a container.
Now of course not every build is perfect, sometimes you have to rebuild. To make this easy for all maintainers of the project we have an IRC bot, named lovingly after Docker’s turtle Gordon. The gordonbot runs in a container duh, and can kick off a rebuild on any of our bajillion servers.
Now I know what you are thinking, thats a lot of servers, how do you manage to know when heaven forbid one of them goes down.
We have consul running in a container on all 50 servers in our infrastructure. This is AMAZING. We use a sweet project, consul alerts, also running in a container, to let us know when a node or service on a node goes down.
I would honestly be lost without consul. It keeps track via tags of the kernel version, storage driver, linux distro, etc of the server. When a server goes down I can decifer if it is a bug with any of those things.
A great example of this is we recently merged the awesome changes to the container network stack via libnetwork. However, I noticed after the merge the servers with kernels 3.19.x and 3.18.x were acting funny. We were able to fix kernel bugs that were specific to those versions related to networking before an RC was even cut.
Github Hooks for the Github Hooks Throne
We trigger a lot of cool things with every push to master. We use nsq to collect the hooks and then pass the messages to all the consumers. Oh and obviously nsq runs in a container, as well as the hooks service.
With every push to master we push new binaries to master.dockerproject.org. This way people can easily try out new features.
The docker-bb service is run in a container ;). Hopefully you are catching on to a theme here…
What good would being able to try new features be, if you didn’t have docs for how to use them?
With every push to master, we deploy new docs to docs.master.dockerproject.org.
This is done with a nsqexec service, wait for it…. RUNNING IN A CONTAINER.
The greatest thing about all these services, which I so subtly mentioned, running in containers is that we can always be dogfooding and testing Docker. Right now we are getting ready to release Docker v1.7.0 and with every RC that is built I upgrade the servers so we can catch bugs.
On the off season, I will randomly upgrade all the servers to the Docker master binaries mentioned previously. This way we can catch things long before they even hit an RC.
All this is so seamless and runs so well that I have time to do my actual job of being a Docker core maintainer, occasionally fix some servers, spin up new servers if we add storage drivers, upgrade servers’ kernels, and write this blog post.
Hope you enjoyed, also help us test RC’s and Docker master! Also thanks to DigitalOcean and Azure for hosting our infrastructure.