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# Gitlab Runner
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Some features of GitLab require a "[runner](https://docs.gitlab.com/runner/)" (_in the sense of a "gopher" or a "minion"_). A runner "registers" itself with a GitLab instance, and is given tasks to run. Tasks include running Continuous Integration (CI) builds, and building container images.
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While a runner isn't strictly required to use GitLab, if you want to do CI, you'll need at least one. There are many was to deploy a runner - this recipe focuses on the docker container model.
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## Ingredients
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1. [Docker swarm cluster](/ha-docker-swarm/) with [persistent shared storage](/ha-docker-swarm/shared-storage-ceph.md)
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2. [GitLab](/ha-docker-swarm/gitlab) installation (see previous recipe)
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## Preparation
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### Setup data locations
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We'll need several directories to bind-mount into our runner containers, so create them in /var/data/gitlab:
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```
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cd /var/data
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mkdir gitlab
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cd gitlab
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mkdir -p {runners/1,runners/2}
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```
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### Configure runners
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From your GitLab UI, you can retrieve a "token" necessary to register a new runner. To register the runner, you can either create config.toml in each runner's bind-mounted folder (example below), or just "docker exec" into each runner container and execute ```gitlab-container register``` to interactively generate config.toml.
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Sample runner config.toml:
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```
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concurrent = 1
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check_interval = 0
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[[runners]]
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name = "myrunner1"
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url = "https://gitlab.example.com"
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token = "<long string here>"
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executor = "docker"
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[runners.docker]
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tls_verify = false
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image = "ruby:2.1"
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privileged = false
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disable_cache = false
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volumes = ["/cache"]
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shm_size = 0
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[runners.cache]
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```
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## Serving
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### Launch runners
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Launch the mail server stack by running ```docker stack deploy gitlab-runner -c <path -to-docker-compose.yml>```
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Log into your new instance at https://**YOUR-FQDN**, with user "root" and the password you specified in gitlab.env.
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## Chef's Notes
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1. You'll note that I setup 2 runners. One is locked to a single project (this cookbook build), and the other is a shared runner. I wanted to ensure that one runner was always available to run CI for this project, even if I'd tied up another runner on something heavy-duty, like a container build. Customize this to your use case.
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2. Originally I deployed runners in the same stack as GitLab, but I found that they would frequently fail to start properly when I launched the stack. I think that this was because the runners started so quickly (and GitLab starts so slowly!), that they always started up reporting that the GitLab instance was invalid or unavailable. I had issues with CI builds stuck permanently in a "pending" state, which were only resolved by restarting the runner. Having the runners deployed in a separate stack to GitLab avoids this problem.
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