gitlab-runner VS gitlab-foss

#!/bin/bash # ### Script to initialize a GitLab runner on an existing AWS EC2 instance with NVME disk(s) # # - script is not interactive (can be run as user_data) # - will reboot at the end to perform NVME mounting # - first NVME disk will be used for GitLab custom cache # - last NVME disk will be used for Docker data (if only one NVME, the same will be used without problem) # - robust: on each reboot and stop/start, disks are mounted again (but data may be lost if stop and then start after a few minutes) # - runner is tagged with multiple instance data (public dns, IP, instance type...) # - works with a single spot instance # - should work even with multiple ones in a fleet, with same user_data (not tested for now) # # /!\ There is no prerequisite, except these needed variables : MAINTAINER=zenika RUNNER_NAME="majestic-runner" GITLAB_URL=https://gitlab.com/ GITLAB_TOKEN=XXXX # prepare docker (re)install sudo apt-get -y install apt-transport-https ca-certificates curl gnupg lsb-release sysstat curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list >/dev/null sudo apt-get update # needed to use the docker.list # install gitlab runner curl -L "https://packages.gitlab.com/install/repositories/runner/gitlab-runner/script.deb.sh" | sudo bash sudo apt-get -y install gitlab-runner # create NVME initializer script cat </home/ubuntu/nvme-initializer.sh #!/bin/bash # # To be run on each fresh start, since NVME disks are ephemeral # so first start, start after stop, but not on reboot # inspired by https://stackoverflow.com/questions/45167717/mounting-a-nvme-disk-on-aws-ec2 # date | tee -a /home/ubuntu/nvme-initializer.log ### Handle NVME disks # get NVME disks bigger than 100Go (some small size disk may be there for root, depending on server type) NVME_DISK_LIST=\$(lsblk -b --output=NAME,SIZE | grep "^nvme" | awk '{if(\$2>100000000000)print\$1}' | sort) echo "NVME disks are: \$NVME_DISK_LIST" | tee -a /home/ubuntu/nvme-initializer.log # there may be 1 or 2 NVME disks, then we split (or not) the mounts between GitLab custom cache and Docker data export NVME_GITLAB=\$(echo "\$NVME_DISK_LIST" | head -n 1) export NVME_DOCKER=\$(echo "\$NVME_DISK_LIST" | tail -n 1) echo "NVME_GITLAB=\$NVME_GITLAB and NVME_DOCKER=\$NVME_DOCKER" | tee -a /home/ubuntu/nvme-initializer.log # format disks if not sudo mkfs -t xfs /dev/\$NVME_GITLAB | tee -a /home/ubuntu/nvme-initializer.log || echo "\$NVME_GITLAB already formatted" # this may already be done sudo mkfs -t xfs /dev/\$NVME_DOCKER | tee -a /home/ubuntu/nvme-initializer.log || echo "\$NVME_DOCKER already formatted" # disk may be the same, then already formated by previous command # mount on /gitlab-host/ and /var/lib/docker/ sudo mkdir -p /gitlab sudo mount /dev/\$NVME_GITLAB /gitlab | tee -a /home/ubuntu/nvme-initializer.log sudo mkdir -p /gitlab/custom-cache sudo mkdir -p /var/lib/docker sudo mount /dev/\$NVME_DOCKER /var/lib/docker | tee -a /home/ubuntu/nvme-initializer.log ### reinstall Docker (which data may have been wiped out) # docker (re)install sudo apt-get -y reinstall docker-ce docker-ce-cli containerd.io docker-compose-plugin | tee -a /home/ubuntu/nvme-initializer.log echo "NVME initialization succesful" | tee -a /home/ubuntu/nvme-initializer.log EOF # set NVME initializer script as startup script sudo tee /etc/systemd/system/nvme-initializer.service >/dev/null <

GitLab team member here, thanks for sharing.

> Still not a big fan of how stiff Yaml pipelines feel in Gitlab CI

Maybe the pipeline editor in "Build > Pipeline editor" can help with live linting, or more advanced features such as parent-child pipelines or merge trains.

If you need tips for optimizing the CI/CD pipeline, suggest following these tips in the docs https://docs.gitlab.com/ee/ci/pipelines/pipeline_efficiency.... or a few more tips in my recent talk "Efficient DevSecOps pipelines in cloud-native world", slides from Chemnitz Linux Days 2023 in https://docs.google.com/presentation/d/1_kyGo_cWi5dKyxi3BfYj...

> and that tickets for what seems like a simple feature [1] hang around for years, but it is nice.

Thanks for sharing. (FYI for everyone) The linked issue suggests a Docker cache cleanup script, which might be helpful. https://gitlab.com/gitlab-org/gitlab-runner/-/issues/27332#n... -> https://docs.gitlab.com/runner/executors/docker.html#clear-t...

If only competitors could do better...

https://gitlab.com/gitlab-org/gitlab-runner/-/issues/2797

GitLab MR for the CACHE_COMPRESSION_LEVEL implementation

And in general just making caching stuff easier. I feel like it is unnecessarily complicated for example to cache apt-get in Gitlab which I assume makes most people not do it.

https://gitlab.com/gitlab-org/gitlab-runner/-/issues/991#not...

* Gitlab EE (enterprise edition) is closed, but Gitlab CE (community edition) is open source (https://gitlab.com/gitlab-org/gitlab-foss/)

* I didn't follow the Gitea drama too closely, but my understanding is that Forgejo was a fork born out of that situation

* I've heard the SourceHut guy is a controversial figure, so avoiding it because of that isn't unreasonable. I will just say that "spite forks" tend not to last very long

Gitlab uses an UrlBlocker class to prevent malicious users from exploiting SSRF via the webhook URL. This class validates the URL and blocks everything which is a local network, but before the 11.5.1 version, they didn't think about an IPv6 format, which maps to IPv4: [0:0:0:0:0:ffff:127.0.0.1]. Replacing the part of 127.0.0.1 to any IP address also worked, and this vulnerability made it possible to send requests to the internal network of a GitLab instance. You can read the issue report here: (https://gitlab.com/gitlab-org/gitlab-foss/-/issues/53242 )[https://gitlab.com/gitlab-org/gitlab-foss/-/issues/53242]

I recommend Auto DevOps and hooking your project up to the Kubernetes cluster. Auto DevOps is a standard CI/CD template that GitLab uses by default when .gitlab-ci.yml is not present. It can automatically package up certain types of applications, including those with a Dockerfile in the root of the repo. If the project is hooked up to a Kubernetes cluster and all the right variables are present, it builds that docker image and then fills in a Helm chart template containing that image and deploys it to the cluster.

Thanks. This was also requested for the UI 7 years ago

https://gitlab.com/gitlab-org/gitlab-foss/-/issues/12776

and then closed with the claim that this was implemented, when in fact, it was not.

Similar to fsync, these are designed to ensure data integrity, but in a test setup, they don't matter. You can read more about these in the Postgres doc on non-durability. and explore some benchmarks from Gitlab here. Interestingly, CircleCI's old Postgres images had these features disabled by default, but the newer ones don't seem to.

Most all of those things are possible with Argo Workflows or Tekton with very great effort. But a sustainable system with all the features built-in.

If you wish to clone a copy of GitLab without proprietary code, you can use the read-only mirror of GitLab located at https://gitlab.com/gitlab-org/gitlab-foss/. However, please do not submit any issues and/or merge requests to that project.

GitLab versions 10.7 and later, allow the HTTP(S) protocol for Git clone or fetch requests done by GitLab Runner from CI/CD jobs, even if you select Only SSH.

it sure does