runner-images
act
runner-images | act | |
---|---|---|
51 | 146 | |
9,160 | 50,744 | |
3.4% | 2.6% | |
9.8 | 9.2 | |
1 day ago | 3 days ago | |
PowerShell | Go | |
MIT License | 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.
runner-images
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Show HN: Managed GitHub Actions Runners for AWS
Yeah this is a good option if you'd like something to deploy yourself! You can also build an AMI from GitHub's upstream image definition (https://github.com/actions/runner-images/tree/main/images/ub...) if you'd like it to match what's available in GitHub-hosted Actions.
With Depot, we're moving towards deeper performance optimizations and observability than vanilla GitHub runners - we've integrated the runners with a cache storage cluster for instance, and we're working on deeper integration with the compute platform that we built for distributed container image builds - as well as expanding the types of builds we can process beyond Actions and Docker, for instance.
But different options will be better for different folks, and the `philips-labs` project is good at what it does.
- GitHub switched to Docker Compose v2, action needed
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We Executed a Critical Supply Chain Attack on PyTorch
Whoa, there's a lot of stuff in there [1] that gets installed straight from vendors, without pinning content checksums to a value known-good to Github.
I get it, they want to have the latest versions instead of depending on how long Ubuntu (or, worse, Debian) package maintainers take to package stuff into their mainline repositories... but this attack surface is nuts.
[1] https://github.com/actions/runner-images/tree/main/images/ub...
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Terraform module for scalable GitHub action runners on AWS
I had a similar experience with ARC (actions-runner-controller).
One of the machines in the fleet failed to sync its clock via NTP. Once a job X got scheduled to it, the runner pod failed authentication due to incorrect clock time, and then the whole ARC system started to behave incorrectly: job X was stuck without runners, until another workflow job Y was created, and then X got run but Y became stuck. There were also other wierd behaviors like this so I eventually rebuilt everything based on VMs and stopped using ARC.
Using VMs also allowed me to support the use of the official runner images [0], which is good for compatibility.
I feel more people would benefit from managed "self-hosted" runners, so I started DimeRun [1] to provide cheaper GHA runners for people who don't have the time/willingness to troubleshoot low-level infra issues.
[0]: https://github.com/actions/runner-images
- Apple Silicon (M1) powered macOS runners are now available in public beta
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macOS Containers v0.0.1
Reminds me: Still waiting for native ARM support on GitHub Actions https://github.com/actions/runner-images/issues/5631
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Question on using Linux Self Hosted Agents with VMSS
Used https://github.com/actions/runner-images to get the packages needed for Ubuntu 22.04 As the packer requires a builder, I used "null" builder to set it as localhost ref: https://developer.hashicorp.com/packer/docs/builders/null (It was way difficult to figure it out the 1st time) I had to modify the .pkr.hcl file to pick my provisioners. I could not understand the use of /opt/hostedtoolcache folder (which I did later)
- steam run problem after install. missing depedencies
- VM Scale Set in Running Status but Failed Provisioning state...leaving agent jobs queued with "No agents in pool VMSS-Prod are currently able to service this request."
- [HELP] Building Unity WebGL projects in Azure Devops CI/CD pipeline
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?
jellyscrub - Smooth mouse-over video scrubbing previews for Jellyfin.
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]
paths-filter - Conditionally run actions based on files modified by PR, feature branch or pushed commits
cache - Cache dependencies and build outputs in GitHub Actions
json-tidy - Pretty prints JSON from stdin, files, or URLs
dagger - Application Delivery as Code that Runs Anywhere
changed-files - :octocat: Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
earthly - Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
combine-prs-workflow - Combine/group together PRs (for example from Dependabot and similar services)
action-tmate - Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
just - 🤖 Just a command runner
LSPatch - LSPatch: A non-root Xposed framework extending from LSPosed