gitlab-runner
act
gitlab-runner | act | |
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47 | 146 | |
- | 50,324 | |
- | 1.8% | |
- | 9.2 | |
- | 5 days ago | |
Go | ||
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gitlab-runner
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🦊 GitLab CI: Deploy a Majestic Single Server Runner on AWS
#!/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 <
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Atlassian prepares to abandon on-prem server products
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...
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GitHub Actions could be so much better
If only competitors could do better...
https://gitlab.com/gitlab-org/gitlab-runner/-/issues/2797
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- Gitlab runner in-depth - communication and CI_JOB_TOKEN
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Caching of GitLab CI is too slow for rust build.
GitLab MR for the CACHE_COMPRESSION_LEVEL implementation
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The GMP library's website is under attack by a single GitHub user
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...
act
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Create a Custom GitHub Action in Rust
To speed up your development cycle, install and use the act tool to test-run your action directly in your development environment. This tool lets you invoke a GitHub workflow right on your local machine and will save you the round-trips of pushing each change to GitHub to see if it works.
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How to debug GitHub actions. Real-world example
When it comes to the alternatives to tmate, there is another great debugging tool that you could check out. It is called act and it allows you to run GitHub Actions code on your local machine making debugging even easier. It has its own limitations and some learning curve but overall it is another tool you should use if you can’t fix the CI bugs by connecting directly into the running action with the tmate.
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Using my new Raspberry Pi to run an existing GitHub Action
Link: https://github.com/nektos/act
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Show HN: Open-source x64 and Arm GitHub runners. Reduces GitHub Actions bill 10x
Could you upload your build of GitHub's runner image to Docker Hub?
This would be quite useful for users of other GitHub Actions clones like act [0].
[0]: https://github.com/nektos/act
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Git commit messages are useless
> These kinds of commit messages are typically an indicator of a broken process where somebody needs to commit to see something happen, like a deployment or build process, and aren't able to assert that stuff works locally.
This is one of my biggest pet peeves with services like github actions. Something running locally like "act" [1] isn't sufficient because it doesn't have everything github has and is extra friction anyway to get everyone to use it for testing.
[1] https://github.com/nektos/act
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Essential Command Line Tools for Developers
View on GitHub
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What’s with DevOps engineers using `make` of all things?
If you use Github actions, act is incredibly useful. It can be used to test your GH actions, but also serves as an interface for running tasks locally.
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Streamlining CI/CD Pipelines with Code: A Developer's Guide
That's something that often is difficult or basically impossible. Except for maybe GitHub actions through Act (https://github.com/nektos/act). I'd still lean to something in the yaml sphere if it eventually would be used in deployment pipelines and such. For example a solution incorporating ansible.
It also seems to me that the argument you make is mostly focused on the building step? Earthly certainly seems focused on that aspect.
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GitHub Actions Are a Problem
I feel I'm being trolled, but I'll bite and accept the resulting downvotes
I don't think treating every mention of act as an opportunity for airing of personal grievances is helpful in a discussion when there's already ample reports of people's concrete issues with it, had one looked at the 800 issues in its repo https://github.com/nektos/act/issues?q=is%3Aissue or the 239 from gitea's for https://gitea.com/gitea/act_runner/issues or whatever is going on with Forgejo's fork https://code.forgejo.org/forgejo/act .
But, as for me specifically, there are two and a half answers: I wanted to run VSCodium's build locally, which act for sure puked about. Then, while trying to troubleshoot that, I thought I'd try something simpler and have it run the lint job from act's own repo <https://github.com/nektos/act/blob/1252e551b8672b1e16dc8835d...> to rule out "you're holding it wrong" type junk. It died with
[checks/lint] Failure - Main actions/setup-go@v3
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How Steve Jobs Saved Apple with the Online Apple Store
https://twitter.com/mitsuhiko/status/1720410479141487099 :
> GitHub Actions currently charges $0.16 per minute* for the macOS M1 Runners. That comes out to $84,096 for 1 machine year*
GitHub Runner is written in Go; it fetches tasks from GitHub Actions and posts the results back to the Pull Request that spawned the build.
nektos/act is how Gitea Actions builds GitHub Actions workflow YAML build definition documents. https://github.com/nektos/act
https://twitter.com/MatthewCroughan/status/17200423527675700... :
> This is the macOS Ventura installer running in 30 VMs, in 30 #nix derivations at once. It gets the installer from Apple, automates the installation using Tesseract OCR and TCL Expect scripts. This is to test the repeatability. A single function call `makeDarwinImage`.
With a Multi-Stage Dockerfile/Containerfild, you can have a dev environment like xcode or gcc+make in the first stage that builds the package, and then the second stage the package is installed and tested, and then the package is signed and published to a package repo / app store / OCI container image repository.
SLSA now specifies builders for signing things correctly in CI builds with keys in RAM on the build workers.
"Build your own SLSA 3+ provenance builder on GitHub Actions" https://slsa.dev/blog/2023/08/bring-your-own-builder-github
What are some alternatives?
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
reverse-rdp-windows-github-actions - Reverse Remote Desktop into Windows on GitHub Actions for Debugging and/or Job Introspection [GET https://api.github.com/repos/nelsonjchen/reverse-rdp-windows-github-actions: 403 - Repository access blocked]
kaniko - Build Container Images In Kubernetes
cache - Cache dependencies and build outputs in GitHub Actions
singularity - Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
dagger - Application Delivery as Code that Runs Anywhere
onedev - Git Server with CI/CD, Kanban, and Packages. Seamless integration. Unparalleled experience.
earthly - Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
cockpit-podman - Cockpit UI for podman containers
action-tmate - Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
machine
LSPatch - LSPatch: A non-root Xposed framework extending from LSPosed