Samba CI on gitlab/Under the hood
- 1 How GitLab CI works in Samba
- 2 Providing the private VMs
- 3 Ansible management scripts
- 4 Future CI services
How GitLab CI works in Samba
Running remote scripts, displaying the output
Like the Samba build farm of old, GitLab CI is a system for running scripts on remote hosts against a git checkout.
Samba uses a feature called GitLab Pipelines to orchestrate our CI.
In Samba's case, the remote script is script/autobuild.py plus some housekeeping before and after. The details is recorded in the .gitlab-ci*.yml files in the Samba tree (so it is maintained with the code).
.gitlab-ci-private.yml vs .gitlab-ci.yml
We have two different CI configurations, one using the default name .gitlab-ci.yml (so picked up by default by forks of our repo) and one that we specify in the Common development repo (.gitlab-ci-private.yml)
The .gitlab-ci-private.yml file includes .gitlab-ci.yml to as to avoid duplication.
The motivation here is to use the shared runners where possible as these are provided by gitlab.com at no cost to Samba Team.
To get a consistent build environment container images are used, so the scripts described above all run inside a container.
The image used is defined in the .gitlab-ci.yml file.
GitLab CI is best thought of as a fancy way to run commands in containers and report their results.
GitLab CI uses Docker as the container runtime.
While the container image format can be consumed by and the containers started using other tools, to closely replicate the environment on the runners, use Docker.
A bit like running in a chroot
The way containers are used by GitLab CI is very much akin to downloading a tarball (the image), unpacking it and calling chroot into it (entering the container). Modern container concepts like namespaces etc are used to make it more seamless, but this conceptualization may assist those struggling with the concepts.
On a private VM
To allow us to accept and test code from a broader range of contributors, and to enable scaling at times of peak load, the docker container is started in a private VM using Docker Machine. This applies for both the private and shared (provided by gitlab.com) runners.
Multiple VMs in parallel
Each section in the .gitlab-ci*.yml file is a job, and each job is distributed to an independent VM, allowing execution in parallel.
Providing the private VMs
- The Samba team provides the private VMs in the Rackspace cloud paid for by the team using donations.
Ansible management scripts
- The scripts used to configure and operate this service are available.
- These scripts allow a new bastion host to be fully built by just running single script invocation:
Future CI services
As all the complex parts of Samba's build and test system are still below autobuild, migration to a different CI service in the future or in parallel is quite practical.
Not tied to gitlab.com
If needed, private GitLab hosts running the Open Source GitLab CE can interpret the same configuration and operate against the same runners (just without the free shared runners, naturally).
This gives the Samba Team options if gitlab.com hosting becomes a problem for any reason.
CI Cloud Requirements
To aid in the selection of any future cloud provider
To be a suitable provider for Samba's Samba's CI, a cloud must be able to provide:
- On the basis of at least 40 parallel jobs (the current limit is 40, this is often reached when doing security work as all jobs are run on the private runners)
- 160 CPUs at peak
- 160 GB RAM at peak
- S3 or Google Compute Engine compatible object store is desirable (for caching, not currently available with Rackspace)
- Provide the openstack API to launch hosts (current scripts are built around this and Rackspace, each new cloud is non-trivial to set up)
- Docker-machine compatible driver to launch the runners from gitlab-runner
- Ansible compatible drivers to launch the bastion host
- Command-line ability to upload SSH keys to launch the bastion host
- API access available from arbitrary networks.
- Billing to an AMEX to allow the SFC to pay for services
- Billing console so we can confirm current level of billing
- Maintained host images for (currently) Ubuntu 18.04 to boot from
- Ideally these would be under a stable name or ID but updated with any security updates
In August 2020 Samba ran 600 pipelines.
Each pipeline is (after recent optimisation):
- 35 Virtual machines
- Around 1 hour each (ideally under an hour due to cloud billing policies)
- 1200min or 20 hour total elapsed time (1 hour wall clock)
The shared runners we use at GitLab.com are small, but our Cloud VMs are set as 4CPU 8GB for the bigger jobs.
While this can be optimised, assuming everything ran on the same VM specification, this currently means around 12000 VM hours per month, 48000 CPU hours per month.
We are working to ensure jobs are set as interruptible and that we run a compile check first to reduce redundant VM use.
CI saves significant developer and reviewer time, making it easier for new developer to join the project. Even a single new productive developer (assuming typical developer salaries - not that the Samba team pays these directly) would bring more value than our costs.
However it is important to realise the order of magnitude for what a CI run costs, so as not to extend the runs without good reason.
- GitLab.com pricing: 1200mins (one run, assuming everything used a shared runner) is $12 USD per GitLab.com pricing plan.
Free CI for contributors is a key part of the GitLab offering, so it is unclear what the long term plan is, but CI costs are real and borne by someone eventually.
- Rackspace pricing: starting 35 VMs in Rackspace currently costs $16.8 USD. Thankfully most jobs start in the free (to us) shared runners and we could use cheaper VMs.
Finally, remember that ultimately no matter who pays the financial costs, the resources used to buy the hardware, produce the electricity and the waste heat generated all impacts on our planet.
Future Cloud: Kubernetes?
If we are willing to put in more effort than just a like-for-like port of the existing rig, we should consider if the native Gitlab Kubernetes integration would allow less maintenance of the script infrastructure.
GitLab moving away from docker-machine
There is an open GitLab ticket to Migrate away from Docker Machine for autoscaling which might change things in the future. Currently we pin to an old unsupported docker-machine in any case.