Azure Pipelines vs GitHub Actions

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Azure Pipelines

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Azure Pipelines vs Github Actions: What are the differences?

  1. Pricing: Azure Pipelines and GitHub Actions have different pricing models. Azure Pipelines offers a free tier with limited resources and a paid tier with more resources and parallel jobs. GitHub Actions, on the other hand, offers a certain number of free minutes per month and charges additional fees for extra minutes.
  2. Integration with Azure Services: While both Azure Pipelines and GitHub Actions can be used for CI/CD workflows, Azure Pipelines has deeper integration with other Azure services. It provides built-in tasks for deploying to Azure App Service, Kubernetes, and other Azure resources, making it easier to work with the Azure ecosystem.
  3. Open Source Community: GitHub Actions has a larger open source community compared to Azure Pipelines. This means that there are more pre-built actions and workflows available on the GitHub Marketplace, making it easier to find and use existing solutions.
  4. Self-hosted Agents: Azure Pipelines supports self-hosted agents, which allows users to set up their own machines to run pipeline jobs. GitHub Actions, on the other hand, does not currently offer this feature, meaning that all jobs have to run on GitHub-hosted machines.

In summary, Azure Pipelines and GitHub Actions differ in their pricing models, integration with Azure services, support from open source community, and support for self-hosted agents.

Advice on Azure Pipelines and GitHub Actions
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Azure PipelinesAzure Pipelines
and
JenkinsJenkins

We are currently using Azure Pipelines for continous integration. Our applications are developed witn .NET framework. But when we look at the online Jenkins is the most widely used tool for continous integration. Can you please give me the advice which one is best to use for my case Azure pipeline or jenkins.

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GitHubGitHub

If your source code is on GitHub, also take a look at Github actions. https://github.com/features/actions

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Pros of Azure Pipelines
Pros of GitHub Actions
  • 4
    Easy to get started
  • 3
    Unlimited CI/CD minutes
  • 3
    Built by Microsoft
  • 2
    Yaml support
  • 2
    Docker support
  • 8
    Integration with GitHub
  • 5
    Free
  • 3
    Easy to duplicate a workflow
  • 3
    Ready actions in Marketplace
  • 2
    Configs stored in .github
  • 2
    Docker Support
  • 2
    Read actions in Marketplace
  • 1
    Active Development Roadmap
  • 1
    Fast

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Cons of Azure Pipelines
Cons of GitHub Actions
    Be the first to leave a con
    • 5
      Lacking [skip ci]
    • 4
      Lacking allow failure
    • 3
      Lacking job specific badges
    • 2
      No ssh login to servers
    • 1
      No Deployment Projects
    • 1
      No manual launch

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    What is Azure Pipelines?

    Fast builds with parallel jobs and test execution. Use container jobs to create consistent and reliable builds with the exact tools you need. Create new containers with ease and push them to any registry.

    What is GitHub Actions?

    It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

    Need advice about which tool to choose?Ask the StackShare community!

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    What tools integrate with Azure Pipelines?
    What tools integrate with GitHub Actions?

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    What are some alternatives to Azure Pipelines and GitHub Actions?
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    AWS Data Pipeline
    AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
    Travis CI
    Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.
    AWS CodePipeline
    CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
    Azure Data Factory
    It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
    See all alternatives