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Azure Pipelines

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Azure Pipelines vs Codeship: What are the differences?

Azure Pipelines and Codeship are popular continuous integration and continuous deployment tools used in DevOps practices. Below are the key differences between Azure Pipelines and Codeship:

  1. Integration with Azure Services: Azure Pipelines is tightly integrated with other Azure services, allowing seamless integration with Azure Repos, Azure Boards, and Azure Artifacts. On the other hand, Codeship may not have the same level of integration with Azure services, making it more suitable for non-Azure based projects.

  2. Scalability: Azure Pipelines offers more scalability options, allowing users to scale their pipelines based on the size and requirements of the project. Codeship may have limitations on scalability, especially for larger projects with complex deployment pipelines.

  3. Supported Languages and Frameworks: Azure Pipelines provides support for a wide range of languages and frameworks, including .NET, Java, Node.js, Python, and more. Codeship may have limited support for certain languages and frameworks, which could be a deciding factor based on the technology stack of the project.

  4. Customization and Extensibility: Azure Pipelines offers extensive customization and extensibility options through its YAML-based pipeline configurations, allowing users to tailor their pipelines to specific project requirements. Codeship also provides customization options, but it may not offer the same level of flexibility as Azure Pipelines.

  5. Cost: Azure Pipelines offers a generous free tier for open source projects and smaller teams, making it cost-effective for startups and small businesses. Codeship may have different pricing plans and cost structures, which could impact the choice of tool based on the project budget and requirements.

  6. Community and Support: Azure Pipelines benefits from being part of the larger Microsoft and Azure ecosystem, providing access to a wide community of users, documentation, and support resources. Codeship also has its community and support channels, but it may not have the same level of resources and community engagement as Azure Pipelines.

In Summary, Azure Pipelines and Codeship differ in terms of integration with Azure services, scalability, supported languages, customization, cost, and community support, which can influence the choice of tool for a DevOps team.

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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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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 Codeship
  • 4
    Easy to get started
  • 3
    Unlimited CI/CD minutes
  • 3
    Built by Microsoft
  • 2
    Yaml support
  • 2
    Docker support
  • 215
    Simple deployments
  • 179
    Easy setup
  • 159
    Github integration
  • 147
    Continuous deployment
  • 110
    Bitbucket integration
  • 97
    Easy ui
  • 84
    Slack integration
  • 66
    Fast builds
  • 61
    Great ui
  • 61
    Great customer support
  • 28
    SSH debug access
  • 27
    Free plan for 5 private repositories
  • 27
    Easy to get started
  • 23
    Competitively priced
  • 20
    Notifications
  • 20
    Hipchat, Campfire integrations
  • 16
    Awesome UI
  • 15
    Fast
  • 14
    Great documentation
  • 13
    Great experience
  • 12
    Free for open source
  • 10
    Great Tutorials
  • 4
    GitLab integration
  • 4
    Free
  • 4
    Easy to use, above all and its free for basic use
  • 3
    Easy for CI first timers
  • 3
    BitBucket Support
  • 3
    Very easy to get started
  • 3
    Build private Github repos on the free plan
  • 3
    Awesome
  • 2
    Super easy setup, works great with py.test/tox
  • 2
    Openshift integration
  • 2
    Great support, even on free tier
  • 2
    AppEngine integration
  • 2
    Easy debugging with ssh
  • 2
    Integrates with other free software
  • 2
    Superfast team work integration
  • 2
    Grepping Codeship = 1 day. Grepping Bamboo = 1 month
  • 2
    Easy to set up, very nice GitHub integration
  • 2
    Up and running in few minutes, and above all UI

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Cons of Azure Pipelines
Cons of Codeship
    Be the first to leave a con
    • 3
      Ui could use some polishing
    • 0
      Antiquated ui
    • 0
      Difficult to answer build questions

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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 Codeship?

    Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

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    What are some alternatives to Azure Pipelines and Codeship?
    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