pipeline
skaffold
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pipeline | skaffold | |
---|---|---|
51 | 82 | |
8,252 | 14,605 | |
1.0% | 0.8% | |
9.7 | 9.2 | |
7 days ago | 6 days ago | |
Go | Go | |
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.
- Wolfi: A community Linux OS designed for the container and cloud-native era
- 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.
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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?
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Does anyone else feel like this?
tekton.dev - native k8s builds defined in yaml so they can easily modify pipelines, tasks, etc. And because it runs in the cluster, it's easy to add sidecars to make it look just like the live environment for integration tests
skaffold
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You've just inherited a legacy C++ codebase, now what?
A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.
While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)
I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!
Kudos to the Google team building it! https://skaffold.dev
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Simplifying preview environments for everyone
To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.
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Set up docker and kubernetes in ubuntu 22.04
We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.
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How do you develop cloud-native applications locally on Kubernetes?
I have used both Skaffold and Devspace. I prefer the latter.
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Launch HN: Moonrepo (YC W23) – Open-source build system
I wonder if it has some overlap with https://skaffold.dev/.
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Building a RESTful API With Functions
K3d and Skaffold for local development
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Does anyone else feel like this?
skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch
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Which environments do you use/support?
To access you service your have several options (it depends on teams the preferences) you can use scaffold https://skaffold.dev/ or for simple case kfwd https://github.com/GiGurra/kfwd. Last for everything that is normally expose on internet you would have an Ingress and use external-dns as you would in prod.
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Approaches in Cloud Development Ergonomics
This approach works great when it’s feasible, which is usually at a very early stage in the life of the application where it’s still small and tenable. There’s some tooling that lets you extend this honeymoon phase by letting you do it more easily, like docker-compose, Skaffold, or Tilt. However, at a certain point, even if you’ve written whatever scriptage is needed to actually configure and run the latest stable version of all of your components together, you’re going to hit some sort of ceiling: if you’ve got a large database, or some CPU-heavy computations, or you’re relying on some managed service that can’t be containerized, this approach soon becomes untenable.
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Connecting a local container with a Kubernetes cluster
Another dev optimization is the conditional rebuilding of a container. For example tools like devspace and skaffold support syncing filles which have changes, but which don't require recompiling.
What are some alternatives?
argo-cd - Declarative Continuous Deployment for Kubernetes
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
okteto - Develop your applications directly in your Kubernetes Cluster
telepresence - Local development against a remote Kubernetes or OpenShift cluster
helm - The Kubernetes Package Manager
flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
Bazel - a fast, scalable, multi-language and extensible build system
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
ingress-nginx - Ingress-NGINX Controller for Kubernetes
dagger - Application Delivery as Code that Runs Anywhere
tilt-extensions - Extensions for Tilt