The description for that variable says it's only available when building a tag. Does that just mean the commit needs to be tagged before a push?
Update: I just found this, which is probably exactly what I want to do: https://github.com/gitlabhq/gitlab-ci/issues/637
Update 2: Wait. What? This doesn't sound right. Now I'm confused: https://docs.gitlab.com/ce/ci/yaml/#tags
Update 3: It seems those are 2 different types of "tag", both mentioned in the same configuration subobject. Crazy.
When you create a gitlab-ci runner you can "tag" the runner. Basically, this is like a named server. For instance, I have a general gitlab-ci runner which I use to run most of my builds. However, I found that I need a special runner just for building docker images. So most of my jobs in my gitlab-ci are marked with:
tags:
- general
Where as my docker build job is marked with: tags:
- docker-builder
This basically pushes the job to a specific runner and has nothing to do at all with the git ref (which could be a branch name or a tag or whatnot).Now when do I build docker containers? I actually don't use "git ref tags" (i.e. git tag v.1.16.001 or something). I have a development branch, a staging branch, and a production branch which tie to my environments (dev, staging, and production). So my job runner looks something like this:
stages:
- test
- build
- deploy
docker_build:
stage: build
script:
- do some stuff
- docker tag container-name:$CI_BUILD_REF_NAME $AWS_ACCOUNT_ID.$AWS_ACCOUNT_REGION.amazonaws.com/container-name:$CI_BUILD_REF_NAME
- docker push $AWS_ACCOUNT_ID.$AWS_ACCOUNT_REGION.amazonaws.com/container-name:$CI_BUILD_REF_NAME
tags:
- docker-builder
only:
- development
- staging
- master
So basically once the tests pass, and IF the branch is development, staging, or master, it will build the docker container, using the CI_BUILD_REF_NAME as the tag and then push that to my private aws container storage system. The AWS_ACCOUNT_ID and REGION are both environment variables I have injected previously. If that succeeds it moves to the deploy stage. - docker build -t container-name:$CI_BUILD_REF_NAME .
- docker tag container-name:$CI_BUILD_REF_NAME $AWS_ACCOUNT_ID.$AWS_ACCOUNT_REGION.amazonaws.com/container-name:$CI_BUILD_REF_NAME
- docker push $AWS_ACCOUNT_ID.$AWS_ACCOUNT_REGION.amazonaws.com/container-name:$CI_BUILD_REF_NAME
This builds my container, tags it, and pushes it to my ec2 container registry. I do most of my deployments using AWS ECS (EC2 Container Service, you can read more about it here: https://aws.amazon.com/ecs/)My secret sauce is in the deployment stage of my ci. I basically run a command which deploys to a ECS environment. This is a custom script which is part of my overall AWS process. I have scripted out the creation of everything on AWS (from building the environment, spinning up EC2's, security and security groups, auto scaling groups, container registry, deploying jobs into an ECS). In the current project I am in we are using Ruby so the command is just a rake task and looks like:
stages:
- test
- build
- deploy
docker_deploy:
stage: deploy
script:
- do some stuff
- rake awsenv:redeploy[$CI_BUILD_REF_NAME]
tags:
- general
only:
- development
- staging
- master
The rake task logs into the awsapi securely, runs some commands, verifies the work, and calls the task complete in gitlab-ci. If you have any further questions, feel free to email me. It's my username at gmail.
GitLab's CI has a pipeline design, so (like Jenkins) you can have some jobs wait for other jobs to complete and use their build artifacts (e.g. have a single build job that downloads deps and compiles everything so later jobs don't need duplicate that work), and you can have jobs only be triggered manually instead of on every push.
It's not perfect, though. For instance, unlike TravisCI, you don't have a build matrix, but you can use YAML tricks to define template jobs (see GitLab's own CI file [0] and a resulting pipeline [1]). If you use GitLab.com, you should be aware that they have downtime a few times each month, both planned and unplanned. For their planned downtime, it is often during the work day in the US timezones, and usually lasts between 10-30 minutes (though it has been longer before). GitLab.com is also used as a "testing in production" environment for their monthly releases, so you will occasionally run into bugs (usually nothing showstopping though; mostly minor annoyances).
I think that what you choose greatly depends on what you need. GitLab CI is a little opinionated, but it is still pretty flexible and usable for a large number of work cases. If you need a ton of customizability, Jenkins could be a better option (with plugins). GitLab CI is a lot easier to setup, however.
GitLab CI also has CD features that you can look into (I don't use them myself). They are also constantly (i.e. every 22nd of the month) releasing new versions, and most of their features are open source.
[0]: https://gitlab.com/gitlab-org/gitlab-ce/blob/master/.gitlab-...
[1]: https://gitlab.com/gitlab-org/gitlab-ce/pipelines/6014043