Jenkins
Concourse
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Jenkins | Concourse | |
---|---|---|
149 | 46 | |
22,268 | 7,149 | |
1.5% | 0.8% | |
9.9 | 9.1 | |
1 day ago | about 16 hours ago | |
Java | 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.
Jenkins
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The Essential Guide to Internal Developer Platforms
For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository.
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20 Things You Should Consider When You Grow as a Developer
Familiarize yourself with tools like Jenkins, Travis CI, GitLab CI, and others that facilitate these practices.
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Supercharge Your Mobile Dev Skills: 10 Essential Tools for Max Efficiency
Jenkins: An open-source automation server that can be used to set up CI/CD pipelines.
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Building a CI/CD Integration with Amazon EC2, Jenkins and Docker
Jenkins is an open-source automation tool that allows developers to build, test and deploy software.
- Boas práticas para revisão de código
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Leveraging CI/CD for Streamlined Software Development and Deployment
Choosing the right CI/CD platform and mastering YAML configuration are critical steps in optimizing your software development process. First, choose a CI/CD platform from popular options such as Jenkins, Travis CI, CircleCI, GitLab CI/CD, or GitHub Actions that meets the needs of your project and integrates seamlessly with your development stack.
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Jenkins Agents On Kubernetes
Jenkins is a Java based CI/CD system that can be self hosted. In order to initiate builds, Jenkins utilizes a component called an agent to execute build commands. These agents can be a constantly running service or part of an on demand service such as a cloud provider or Docker containers. Kubernetes is one such solution to deploying build agents on demand. This article will look at how to setup Kubernetes as a provider for Jenkins build agents.
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Best CI/CD tools for React Native
In this article, we briefly discussed some popular CI/CD platforms for React Native and why they are crucial in the programming world. We also included some honorable mentions, Jenkins CI and Bitrise, in our comparison table. It is important to remember that every project is different, and therefore it is important to evaluate each tool’s advantages and disadvantages.
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How popular are libraries in each technology
Other popular DevOps tools include Docker, Jenkins, and Ansible. Docker is a platform that allows developers to package applications and their dependencies into containers that can be easily deployed to any environment. Jenkins is an open-source automation server that enables developers to automate the building, testing, and deployment of software. Ansible is an open-source automation tool that enables developers to automate the configuration and management of IT infrastructure.
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What is the Role of AI in DevOps?
Soon, Continuous Integration (CI) and Continuous Deployment (CD) became an important theme for organizations, especially for cloud practitioners, as it helped them find bugs close to the development, shorten the feedback loop and deploy faster than ever.. CI focused on regularly merging developer code changes into a shared repository, and CD aimed at automating the release process to beat the time to market. This is when tools such as Jenkins and Travis CI became popular, enabling faster feedback loop and reducing time to market.
Concourse
- The worst thing about Jenkins is that it works
- Show HN: Togomak – declarative pipeline orchestrator based on HCL and Terraform
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GitHub Actions could be so much better
> Why bother, when Dagger caches everything automatically?
The fear with needing to run `npm ci` (or better, `pnpm install`) before running dagger is on the amount of time required to get this step to run. Sure, in the early days, trying out toy examples, when the only dependencies are from dagger upstream, very little time at all. But what happens when I start pulling more and more dependencies from the Node ecosystem to build the Dagger pipeline? Your documentation includes examples like pulling in `@google-cloud/run` as a dependency: https://docs.dagger.io/620941/github-google-cloud#step-3-cre... and similar for Azure: https://docs.dagger.io/620301/azure-pipelines-container-inst... . The more dependencies brought in - the longer `npm ci` is going to take on GitHub Actions. And it's pretty predictable that, in a complicated pipeline, the list of dependencies is going to get pretty big - at least a dependency per infrastructure provider we use, plus inevitably all the random Node dependencies that work their way into any Node project, like eslint, dotenv, prettier, testing dependencies... I think I have a reasonable fear that `npm ci` just for the Dagger pipeline will hit multiple minutes, and then developers who expect linting and similar short-run jobs to finish within 30 seconds are going to wonder why they're dealing with this overhead.
It's worth noting that one of Concourse's problems was, even with webhooks setup for GitHub to notify Concourse to begin a build, Concourse's design required it to dump the contents of the webhook and query the GitHub API for the same information (whether there were new commits) before starting a pipeline and cloning the repository (see: https://github.com/concourse/concourse/issues/2240 ). And that was for a CI/CD system where, for all YAML's faults, for sure one of its strengths is that it doesn't require running `npm ci`, with all its associated slowness. So please take it on faith that, if even a relatively small source of latency like that was felt in Concourse, for sure the latency from running `npm ci` will be felt, and Dagger's users (DevOps) will be put in an uncomfortable place where they need to defend the choice of Dagger from their users (developers) who go home and build a toy example on AlternateCI which runs what they need much faster.
> I will concede that Dagger’s clustering capabilities are not great yet
Herein my argument. It's not that I'm not convinced that building pipelines in a general-purpose programming language is a better approach compared to YAML, it's that building pipelines is tightly coupled with the infrastructure that runs the pipelines. One aspect of that is scaling up compute to meet the requirements dictated by the pipeline. But another aspect is that `npm ci` should not be run before submitting the pipeline code to Dagger, but after submitting the pipeline code to Dagger. Dagger should be responsible for running `npm ci`, just like Concourse was responsible for doing all the interpolation of the `((var))` syntax (i.e. you didn't need to run some kind of templating before submitting the YAML to Concourse). If Dagger is responsible for running `npm ci` (really, `pnpm install`), then it can maintain its own local pnpm store / pipeline dependency caching, which would be much faster, and overcome any shortcomings in the caching system of GitHub Actions or whatever else is triggering it.
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We built the fastest CI in the world. It failed
> Imagine you live in a world where no part of the build has to repeat unless the changes actually impacted it. A world in which all builds happened with automatic parallelism. A world in which you could reproduce very reliably any part of the build on your laptop.
That sounds similar to https://concourse-ci.org/
I quite like it, but it never seemed to gain traction outside of Cloud Foundry.
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
+1 to GitLab on-prem. If that is too heavy just for the CI/CD, there are a bunch of tools, e.g. https://github.com/concourse/concourse
Concourse: https://concourse-ci.org
- JSON vs XML
- Choosing a CI/CD tool for your product
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Why I joined Dagger
My first attempt was Concourse, a CI/CD system that scheduled pipelines written in declarative YAML. Choosing YAML for Concourse made it for all, but it was definitely not once; we had to constantly rework its declarative model to handle more use cases. As time went on I started to wonder if the final frontier was actually a “language for CI/CD.”
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Elm 2022, a year in review
Ableton ⬩ Acima ⬩ ACKO ⬩ ActiveState ⬩ Adrima ⬩ AJR International ⬩ Alma ⬩ Astrosat ⬩ Ava ⬩ Avetta ⬩ Azara ⬩ Barmenia ⬩ Basiq ⬩ Beautiful Destinations ⬩ BEC Systems ⬩ Bekk ⬩ Bellroy ⬩ Bendyworks ⬩ Bernoulli Finance ⬩ Blue Fog Training ⬩ BravoTran ⬩ Brilliant ⬩ Budapest School ⬩ Buildr ⬩ Cachix ⬩ CalculoJuridico ⬩ CareRev ⬩ CARFAX ⬩ Caribou ⬩ carwow ⬩ CBANC ⬩ CircuitHub ⬩ CN Group CZ ⬩ CoinTracking ⬩ Concourse CI ⬩ Consensys ⬩ Cornell Tech ⬩ Corvus ⬩ Crowdstrike ⬩ Culture Amp ⬩ Day One ⬩ Deepgram ⬩ diesdas.digital ⬩ Dividat ⬩ Driebit ⬩ Drip ⬩ Emirates ⬩ eSpark ⬩ EXR ⬩ Featurespace ⬩ Field 33 ⬩ Fission ⬩ Flint ⬩ Folq ⬩ Ford ⬩ Forsikring ⬩ Foxhound Systems ⬩ Futurice ⬩ FörsäkringsGirot ⬩ Generative ⬩ Genesys ⬩ Geora ⬩ Gizra ⬩ GWI ⬩ HAMBS ⬩ Hatch ⬩ Hearken ⬩ hello RSE ⬩ HubTran ⬩ IBM ⬩ Idein ⬩ Illuminate ⬩ Improbable ⬩ Innovation through understanding ⬩ Insurello ⬩ iwantmyname ⬩ jambit ⬩ Jobvite ⬩ KOVnet ⬩ Kulkul ⬩ Logistically ⬩ Luko ⬩ Metronome Growth Systems ⬩ Microsoft ⬩ MidwayUSA ⬩ Mimo ⬩ Mind Gym ⬩ MindGym ⬩ Next DLP ⬩ NLX ⬩ Nomalab ⬩ Nomi ⬩ NoRedInk ⬩ Novabench ⬩ NZ Herald ⬩ Permutive ⬩ Phrase ⬩ PINATA ⬩ PinMeTo ⬩ Pivotal Tracker ⬩ PowerReviews ⬩ Practle ⬩ Prima ⬩ Rakuten ⬩ Roompact ⬩ SAVR ⬩ Scoville ⬩ Scrive ⬩ Scrivito ⬩ Serenytics ⬩ Smallbrooks ⬩ Snapview ⬩ SoPost ⬩ Splink ⬩ Spottt ⬩ Stax ⬩ Stowga ⬩ StructionSite ⬩ Studyplus For School ⬩ Symbaloo ⬩ Talend ⬩ Tallink & Silja Line ⬩ Test Double ⬩ thoughtbot ⬩ Travel Perk ⬩ TruQu ⬩ TWave ⬩ Tyler ⬩ Uncover ⬩ Unison ⬩ Veeva ⬩ Vendr ⬩ Verity ⬩ Vnator ⬩ Vy ⬩ W&W Interaction Solutions ⬩ Watermark ⬩ Webbhuset ⬩ Wejoinin ⬩ Zalora ⬩ ZEIT.IO ⬩ Zettle
What are some alternatives?
argo-cd - Declarative Continuous Deployment for Kubernetes
drone - Gitness is an Open Source developer platform with Source Control management, Continuous Integration and Continuous Delivery. [Moved to: https://github.com/harness/gitness]
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
GitlabCi
checks-api-plugin - Jenkins plugin that defines an API for Jenkins to publish checks to SCM platforms.
Jenkins - A static site for the Jenkins automation server
onedev - Git Server with CI/CD, Kanban, and Packages. Seamless integration. Unparalleled experience.
Strider - Open Source Continuous Integration & Deployment Server
Buildbot - Python-based continuous integration testing framework; your pull requests are more than welcome!
Laminar - Fast and lightweight Continuous Integration