runc-examples
dagger
| runc-examples | dagger | |
|---|---|---|
| 1 | 100 | |
| 1 | 11,062 | |
| - | 2.1% | |
| 10.0 | 9.9 | |
| over 5 years ago | 1 day ago | |
| Shell | Go | |
| - | 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.
runc-examples
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BuildKit in depth: Docker's build engine explained
EDIT: Looks like I don't need to `unshare` by hand but runc actually does this already:
https://github.com/psanford/runc-examples/blob/master/rootle...
dagger
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Building an MLOps pipeline with Dagger.io and KitOps
To address this we use MLOps pipelines that incorporate version control, CI/CD (continuous integration and continuous delivery), model monitoring, and integration testing. In this post, we want to show you how Dagger.io and KitOps can be used to create an ML pipeline to get your AI projects to production.
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Ask HN: What are you working on (September 2024)?
Sounds a lot like https://dagger.io/ . Maybe you can take some inspiration from them
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Next Wave, Second Wave, it's still...DevOps to me
Anyshift.io AppCD AppMap.io CloudTruth Dagger.io DryRun Security Overmind Prequel RunWhen Stanza
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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 ère 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
- Nix is a better Docker image builder than Docker's image builder
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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 … boot! … 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 :)
What are some alternatives?
earthly - Super simple build framework with fast, repeatable builds and an instantly familiar syntax – 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 🚀
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.
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
NUKE - 🏗 The AKEless Build System for C#/.NET
Task - A task runner / simpler Make alternative written in Go
windmill - Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
constructs - Define composable configuration models through code