pipeline
Dagger2
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pipeline | Dagger2 | |
---|---|---|
51 | 50 | |
8,285 | 17,311 | |
0.9% | 0.3% | |
9.7 | 9.1 | |
1 day ago | 4 days ago | |
Go | Java | |
Apache License 2.0 | 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.
pipeline
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14 DevOps and SRE Tools for 2024: Your Ultimate Guide to Stay Ahead
Tekton
- GitHub Actions could be so much better
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Distributed Traces for Testing with Tekton Pipelines and Tracetest
Tekton is an open-source framework for creating efficient CI/CD systems. This empowers developers to seamlessly construct, test, and deploy applications across various cloud environments and on-premise setups.
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Practical Tips for Refactoring Release CI using GitHub Actions
Despite other alternatives like Circle CI, Travis CI, GitLab CI or even self-hosted options using open-source projects like Tekton or Argo Workflow, the reason for choosing GitHub Actions was straightforward: GitHub Actions, in conjunction with the GitHub ecosystem, offers a user-friendly experience and access to a rich software marketplace.
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Wolfi: A community Linux OS designed for the container and cloud-native era
[2]: https://github.com/tektoncd/pipeline/issues/5507#issuecommen...
- Nu stiu ce sa fac, orice sfat e bine venit
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
Drone, or Tekton, Argo Workflows if you’re on k8s
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Is Jenkins still the king?
If you want a step up, I would recommend trying out Tekton Pipelines. It’s a very popular ci tool, and it runs on Kubernetes. Yes, this would involve setting up a Kubernetes cluster but please don’t run for the hills! You can setup a Kubernetes cluster and install Tekton on top of it with minimal setup using minikube (see here. This would be a great joint exercise as it will give you a bit of Kubernetes understanding alongside it, and the mechanisms of Tekton are a little trickier than GitHub actions imo. It’s all much the same though.
- Is there a way to run a one-off pod that would work as a command line tool?
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K8s powered Git push deployments
I've recently found this quote by Kelsey Hightower:
"I'm convinced the majority of people managing infrastructure just want a PaaS. The only requirement: it has to be built by them."
Source: https://twitter.com/kelseyhightower/status/85193508753294540...
In the last few weeks, I've experimented a bit with Flux (https://fluxcd.io/), Tekton (https://tekton.dev/) and Cloud Native Buildpacks (https://buildpacks.io/) on how to provide K8s powered git push deployments without using a dedicated CI/CD server.
My project is still in early alpha stage and just a proof of concept :-) My vision is to expand it into an Open Source PaaS in the future.
Do you think the above quote is true? What does an open source PaaS need to be like in order to be accepted by software developers?
Some other projects have been discontinued in the past (like Flynn or Deis) or were created before the Kubernetes era.
Is it the right direction to provide a Heroku like solution based on K8s or is it better to provide an Open Source Infrastructure as Code library with building blocks to avoid everything from scratch?
Dagger2
- Dagger 2.49 (KSP, @AssistedInject with @HiltViewModel, more)
- Dagger 2.48 adds alpha KSP support
- Dagger KSP update & Breaking changes required to use Dagger KSP
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Performance and memory impact of the @Singleton annotation in Dagger
There used to be a thing called "releasable references" which was that. It was removed, though: https://github.com/google/dagger/issues/1117
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Dependency injection with AWS Lambdas in java
As said in the title, we will focus on the dependency inversion principle and one of its application : dependency injection. For production-ready applications, it would be better to rely on a framework and not implement its own container. For it, the java ecosystem have 3 frameworks available : Spring, Guice and Dagger.
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Refactoring our Dependency Injection using Anvil
At Reddit, we use Dagger 2 for handling dependency injection (DI) in our Android application. As we’ve scaled the application over the years, we’ve accrued a bit of technical debt in how we have approached this problem.
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Dagger Python SDK: Develop Your CI/CD Pipelines as Code
Confusing. I initially thought someone ported the Dagger DI framework to Python: https://dagger.dev/
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Multiplatform dependency injection libraries equivalent to Dagger/Anvil
I'm currently using Dagger and Anvil for my DI needs. It's been working really well, especially around what Anvil permits in terms of multibindings defined on the type declaration rather than in a module. For example:
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Dagger 2.43 released with support for multiple instances of the same ViewModel using keys 🎉
Great job, I have been waiting for this feature/fix for a long time https://github.com/google/dagger/issues/2328
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Best libraries for Android Developers
Dagger
What are some alternatives?
dagger - Application Delivery as Code that Runs Anywhere
Guice - Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.
argo-cd - Declarative Continuous Deployment for Kubernetes
Toothpick - A scope tree based Dependency Injection (DI) library for Java / Kotlin / Android.
kubevela - The Modern Application Platform.
Weld - Weld, including integrations for Servlet containers and Java SE, examples and documentation
tekton-argocd-poc - This a PoC using Tekton (for CI) and ArgoCD (CD). It uses a local k8s cluster (K3D)
butterknife - Bind Android views and callbacks to fields and methods.
NUKE - 🏗 The AKEless Build System for C#/.NET
HK2
skaffold - Easy and Repeatable Kubernetes Development
Dynamic CDI - Dynamic Context Dependency Injection