So, I went to DockerCon EU a couple of weeks ago and even though I was not as experienced on Docker as most people out there, still managed to have a great time. The speakers, the announcements, the demos, the food... Everything incredible from beginning to end, on top of it learned lots of cool stuff and met some nice people. Swarm 1.0 was kind of a big deal throughout the conference, and I'm looking forward to getting my hands dirty with it. But one step at a time, let's get into docker-compose first.
Although happy to see the docker environment move at such fast pace, I'm saddened to say this article is out of date. Load balancing now comes built in the networking in docker as of v1.12. Check out this more recent post that details how to expose services using a reverse-proxy (without load balancing). Same principles apply here, with less moving parts.
Still, lots of interesting projects can be built using some of the concepts/tools detailed here. Therefore I'll leave this article unmodified, but this is a note for newcomers to the world of docker: This is not the introduction to docker/docker-compose you're looking for.
Architecture is a big word for this, it's a proxy forwarding requests to a Node.js app that persists data into a mongodb store, basically
nginx -> app -> mongodb.
In my mind, I wanted to manage distributed architectures as seamlessly as possible. But as soon as I got to Swarm territory I quickly realized that much more would be necessary to run everything the way I was imagining it (of course, a kubernetes-like manager with waaaay less functionalities is still a pretty big task).
Therefore the first goal I set myself towards that idea was to scale in a single host. The source is on github, you can clone the repo, look into it and try it out for yourself. If you're getting started with docker I recommend starting with their awesome docs for Linux, Windows or Mac.
The Node.js front app
In an attempt to keep it simple, an express generated template
express app_name was the starting point. Mongoose for object modeling on mongodb. This is where I could've gone minimalistic but didn't, like this python version from bfirsh's repo (the inspiration of the hit counter idea).
I wanted to include some good practices useful on bigger projects, so I decided to go for the overkill. That's why there are separated routes files, Schemas and development/production config environments on this micro use case.
The image is on the docker hub or can be built from the project repo. A nice trick is to load the dependencies on a different layer of the
Dockerfile for cache purposes, you don't want to run
npm install each time ;)
Proxy that shit
This is where things started to get tricky, at least on nginx the conf file needs to be reloaded dynamically whenever a new container is spawned. I used jwilder/nginx-proxy that helps for that purpose exactly by listening to the Docker daemon.
Each app container needs to expose
VIRTUAL_HOST env variable that the proxy will take as the upstream (forwading) addr. An in-depth explanation can be found in the original post. The
docker-compose.yml file is the following:
front: build: . environment: - VIRTUAL_HOST=~^front\..*\.xip\.io #1 links: - mongo #2 ports: - "3000" mongo: image: mongo loadb: image: jwilder/nginx-proxy environment: - DOCKER_CERT_PATH=/certs #3 - DOCKER_HOST=$DOCKER_HOST - DOCKER_TLS_VERIFY=1 volumes: - $DOCKER_CERT_PATH:/certs #4 - /var/run/docker.sock:/tmp/docker.sock #5 ports: - "80:80"
As you can see in #1, the
front container is exposing
~^front\..*\.xip\.io. This will take advantage of xip.io wildcard DNS, in case you are running on a docker-machine (like me) you can browse to
front.MACHINE_IP.xip.io and they will resolve to
front.MACHINE_IP, this helps with some development hassle.
The link with the database is made on #2.
The nginx-proxy image needs to communicate with the docker daemon, for Mac systems #3 variables and #4 volume mount set everything nginx needs (certificates and paths to enable the connection).
#5 is just there for native Linux support (way simpler: directly mount the docker socket) but it has no effect on Mac systems.
JUST DO IT
That's it, let's give it a spin. Execute
docker-compose up -d or
make and the 3 base containers should rise. Browse or
front.MACHINE_IP.xip.io and you should see a counter on each visit. Great success!
docker-compose scale front=3 will spin up 2 extra nodes and the proxy will distribute the requests automatically. You can check if everything is working properly by executing
docker-compose logs right before scaling up. This way you can see requests coming into nginx and the front node, after scaling you will see each request handled by a different node.
The logs have a nice built in color coding for each container. On the first image, the lonely front node (front_1) responding to each request behind nginx (loadb_1).
After scaling, each request is distributed amongst the available nodes (front_1, front_2 & front_3).
If you've got 7mins to spare, there's this fun video on youtube about some testing on a node app behind an nginx proxy. What's nice about the docker-compose approach is that there is no need to manually edit and reload the conf file or manually run the docker containers, so again kudos for jwilder and all contributors to the nginx-proxy project.
I hope this might help anyone thinking on doing anything similar, I'm just trying out different stuff and writing about what I've learned. My next post will hopefully be on Swarm and a scalable app throughout multiple hosts. Cheers & Pura Vida!