action-upterm
dagger
action-upterm | dagger | |
---|---|---|
2 | 97 | |
378 | 10,468 | |
- | 2.3% | |
1.8 | 9.9 | |
about 1 month ago | 5 days ago | |
JavaScript | Go | |
MIT License | Apache License 2.0 |
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.
action-upterm
- Debug your GitHub Actions by using SSH
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Unpopular opinion: CI/CD engines are an awful idea
In the event you're in GHA, take a look at this: https://github.com/lhotari/action-upterm
dagger
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Git Push to Run CI/CD Is a Terrible Developer Experience
Have you seen https://dagger.io? (by the OG creators of Docker)
Fully containerized builds based on BuildKit with a SDK interface. Works really well on both linux and mac
Does the caching, parallel, lazy DAG really well, removes the need for intermediate or base containers to run builds, or more generally containerized workflows
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The Paradigm Shift of CI/CD as a DAG of Tasks
If you want this concept, but without the Yaml, check out https://dagger.io
- Dagger.io : La nouvelle Γ¨re du CI/CD dans le monde DevOps
- A new philosophy: Pipeline As Code
- Dagger: Programmable open source CI/CD engine that runs pipelines in containers
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Nix is a better Docker image builder than Docker's image builder
The fact that I couldn't point to one page on the docs that shows the tl;dr or the what problem is this solving
https://docs.dagger.io/quickstart/562821/hello just emits "Hello, world!" which is fantastic if you're writing a programming language but less helpful if you're trying to replace a CI/CD pipeline. Then, https://docs.dagger.io/quickstart/292472/arguments doubles down on that fallacy by going whole hog into "if you need printf in your pipline, dagger's got your back". The subsequent pages have a lot of english with little concrete examples of what's being shown.
I summarized my complaint in the linked thread as "less cowsay in the examples" but to be honest there are upteen bazillion GitHub Actions out in the world, not the very least of which your GHA pipelines use some https://github.com/dagger/dagger/blob/v0.10.2/.github/workfl... https://github.com/dagger/dagger/blob/v0.10.2/.github/workfl... so demonstrate to a potential user how they'd run any such pipeline in dagger, locally, or in Jenkins, or whatever by leveraging reusable CI functions that setup go or run trivy
Related to that, I was going to say "try incorporating some of the dagger that builds dagger" but while digging up an example, it seems that dagger doesn't make use of the functions yet <https://github.com/dagger/dagger/tree/v0.10.2/ci#readme> which is made worse by the perpetual reference to them as their internal codename of Zenith. So, even if it's not invoked by CI yet, pointing to a WIP PR or branch or something to give folks who have CI/CD problems in their head something concrete to map into how GHA or GitLabCI or Jenkins or something would go a long way
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Testcontainers
> GHA has "service containers", but unfortunately the feature is too basic to address real-world use cases: it assumes a container image can just β¦ boot! β¦ and only talk to the code via the network. Real world use cases often require serialized steps between the test & the dependencies, e.g., to create or init database dirs, set up certs, etc.)
My biased recommendation is to write a custom Dagger function, and run it in your GHA workflow. https://dagger.io
If you find me on the Dagger discord, I will gladly write a code snippet summarizing what I have in mind, based on what you explained of your CI stack. We use GHA ourselves and use this pattern to great effect.
Disclaimer: I work there :)
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BuildKit in depth: Docker's build engine explained
Dagger (https://dagger.io) is a great way to use BuildKit through language SDKs. It's such a better paradigm, I cannot imagine going back.
Dagger is by the same folks that brought us Docker. This is their fresh take on solving the problem of container building and much more. BuildKit can more than build images and Dagger unlocks it for you.
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Cloud, why so difficult? π€·ββοΈ
And suddenly, it's almost painfully obvious where all the pain came from. Cloud applications today are simply a patchwork of disconnected pieces. I have a compiler for my infrastructure, another for my functions, another for my containers, another for my CI/CD pipelines. Each one takes its job super seriously, and keeps me safe and happy inside each of these machines, but my application is not running on a single machine anymore, my application is running on the cloud.
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Share your DevOps setups
That said I've been moving my CI/CD to https://dagger.io/ which has been FANTASTIC. It's code based so you can define all your pipelines in Go, Python, or Javascript and they all run on containers so I can run actions locally without any special setup. Highly recommended.
What are some alternatives?
mkdkr - mkdkr = Makefile + Docker
earthly - Super simple build framework with fast, repeatable builds and an instantly familiar syntax β like Dockerfile and Makefile had a baby.
pipeline - A cloud-native Pipeline resource.
gitlab-ci-local - Tired of pushing to test your .gitlab-ci.yml?
act - Run your GitHub Actions locally π
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
dagster - An orchestration platform for the development, production, and observation of data assets.
NUKE - π The AKEless Build System for C#/.NET
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
Task - A task runner / simpler Make alternative written in Go
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.