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Azure Pipelines vs Travis CI: What are the differences?

Introduction

Azure Pipelines and Travis CI are both popular Continuous Integration/Continuous Deployment (CI/CD) platforms that help streamline the development process by automating the build, test, and deployment phases of software projects. However, there are some key differences between the two platforms that can influence the choice of which one to use for a specific project.

  1. Platform Availability: Azure Pipelines is a service provided by Microsoft Azure and is primarily focused on providing CI/CD capabilities for applications hosted on Azure. On the other hand, Travis CI is a cloud-based platform that supports a wider range of platforms and can be easily integrated with popular code hosting services like GitHub and Bitbucket.

  2. Configuration: Azure Pipelines offers a flexible configuration system that allows defining build pipelines using either YAML or graphical tools. In contrast, Travis CI relies on a YAML-based configuration file called .travis.yml to define build and test steps. This difference in configuration approaches can affect the ease of use and flexibility of each platform.

  3. Build Environment: Azure Pipelines provides a wide range of build agents that can run build and test jobs. These agents can be either hosted by Microsoft or self-hosted on-premises or on virtual machines. Travis CI, on the other hand, offers a fixed set of predefined build environments, which might not have the required software or dependencies for certain projects.

  4. Integration with Third-Party Services: Azure Pipelines provides native integration with various Microsoft services like Azure DevOps, Azure Container Registry, and Azure Kubernetes Service (AKS). It also offers built-in support for integration with third-party tools like Jira and Slack. Travis CI, on the other hand, integrates well with popular code hosting services like GitHub, making it easier to trigger build and deployment pipelines based on code changes.

  5. Pricing Model: Azure Pipelines offers a generous free tier that allows for a certain number of minutes of free build time per month. Beyond that, usage is charged based on the number of parallel jobs and the total build minutes consumed. Travis CI also provides a free tier with a limited number of concurrent jobs and build minutes per month, and additional usage is charged based on the number of concurrent jobs and build minutes.

  6. Extensibility: Azure Pipelines can be extended using custom tasks that are created using various technologies like PowerShell, Bash, and Node.js. It also has an extensive marketplace of pre-built tasks and extensions. Travis CI, on the other hand, provides a plugin system that allows extending its functionality using Ruby-based libraries and scripts.

In summary, Azure Pipelines and Travis CI have differences in terms of availability, configuration, build environment, integration with third-party services, pricing model, and extensibility. The choice between the two platforms depends on the specific requirements and preferences of the project.

Advice on Azure Pipelines and Travis CI
Needs advice
on
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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Replies (1)
Recommends
on
GitHubGitHub

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

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Needs advice
on
JenkinsJenkinsTravis CITravis CI
and
CircleCICircleCI

From a StackShare Community member: "Currently we use Travis CI and have optimized it as much as we can so our builds are fairly quick. Our boss is all about redundancy so we are looking for another solution to fall back on in case Travis goes down and/or jacks prices way up (they were recently acquired). Could someone recommend which CI we should go with and if they have time, an explanation of how they're different?"

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Replies (6)
Dustin Falgout
Senior Developer at Elegant Themes · | 13 upvotes · 549.3K views

We use CircleCI because of the better value it provides in its plans. I'm sure we could have used Travis just as easily but we found CircleCI's pricing to be more reasonable. In the two years since we signed up, the service has improved. CircleCI is always innovating and iterating on their platform. We have been very satisfied.

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Peter Thomas
Distinguished Engineer at Intuit · | 9 upvotes · 859.6K views
Recommends
on
Travis CITravis CI
at

As the maintainer of the Karate DSL open-source project - I found Travis CI very easy to integrate into the GitHub workflow and it has been steady sailing for more than 2 years now ! It works well for Java / Apache Maven projects and we were able to configure it to use the latest Oracle JDK as per our needs. Thanks to the Travis CI team for this service to the open-source community !

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Recommends
on
Google Cloud BuildGoogle Cloud Build

I use Google Cloud Build because it's my first foray into the CICD world(loving it so far), and I wanted to work with something GCP native to avoid giving permissions to other SaaS tools like CircleCI and Travis CI.

I really like it because it's free for the first 120 minutes, and it's one of the few CICD tools that enterprises are open to using since it's contained within GCP.

One of the unique things is that it has the Kaniko cache, which speeds up builds by creating intermediate layers within the docker image vs. pushing the full thing from the start. Helpful when you're installing just a few additional dependencies.

Feel free to checkout an example: Cloudbuild Example

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Recommends
on
Travis CITravis CI

I use Travis CI because of various reasons - 1. Cloud based system so no dedicated server required, and you do not need to administrate it. 2. Easy YAML configuration. 3. Supports Major Programming Languages. 4. Support of build matrix 6. Supports AWS, Azure, Docker, Heroku, Google Cloud, Github Pages, PyPi and lot more. 7. Slack Notifications.

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Oded Arbel
Recommends
on
GitLab CIGitLab CI

You are probably looking at another hosted solution: Jenkins is a good tool but it way too work intensive to be used as just a backup solution.

I have good experience with Circle-CI, Codeship, Drone.io and Travis (as well as problematic experiences with all of them), but my go-to tool is Gitlab CI: simple, powerful and if you have problems with their limitations or pricing, you can always install runners somewhere and use Gitlab just for scheduling and management. Even if you don't host your git repository at Gitlab, you can have Gitlab pull changes automatically from wherever you repo lives.

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Recommends
on
BuildkiteBuildkite

If you are considering Jenkins I would recommend at least checking out Buildkite. The agents are self-hosted (like Jenkins) but the interface is hosted for you. It meshes up some of the things I like about hosted services (pipeline definitions in YAML, managed interface and authentication) with things I like about Jenkins (local customizable agent images, secrets only on own instances, custom agent level scripts, sizing instances to your needs).

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Decisions about Azure Pipelines and Travis CI

My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container. Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website. This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage file from my docker container and get the coverage report with #Codecov.

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We were long time users of TravisCI, but switched to CircleCI because of the better user interface and pricing. Version 2.0 has had a couple of trips and hiccups; but overall we've been very happy with the continuous integration it provides. Continuous Integration is a must-have for building software, and CircleCI continues to surprise as they roll out ideas and features. It's leading the industry in terms of innovation and new ideas, and it's exciting to see what new things they keep rolling out.

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Jenkins is a pretty flexible, complete tool. Especially I love the possibility to configure jobs as a code with Jenkins pipelines.

CircleCI is well suited for small projects where the main task is to run continuous integration as quickly as possible. Travis CI is recommended primarily for open-source projects that need to be tested in different environments.

And for something a bit larger I prefer to use Jenkins because it is possible to make serious system configuration thereby different plugins. In Jenkins, I can change almost anything. But if you want to start the CI chain as soon as possible, Jenkins may not be the right choice.

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Pros of Azure Pipelines
Pros of Travis CI
  • 4
    Easy to get started
  • 3
    Unlimited CI/CD minutes
  • 3
    Built by Microsoft
  • 2
    Yaml support
  • 2
    Docker support
  • 506
    Github integration
  • 388
    Free for open source
  • 271
    Easy to get started
  • 191
    Nice interface
  • 162
    Automatic deployment
  • 72
    Tutorials for each programming language
  • 40
    Friendly folks
  • 29
    Support for multiple ruby versions
  • 28
    Osx support
  • 24
    Easy handling of secret keys
  • 6
    Fast builds
  • 4
    Support for students
  • 3
    The best tool for Open Source CI
  • 3
    Hosted
  • 3
    Build Matrices
  • 2
    Github Pull Request build
  • 2
    Straightforward Github/Coveralls integration
  • 2
    Easy of Usage
  • 2
    Integrates with everything
  • 1
    Caching resolved artifacts
  • 1
    Docker support
  • 1
    Great Documentation
  • 1
    Build matrix
  • 1
    No-brainer for CI
  • 1
    Debug build workflow
  • 1
    Ubuntu trusty is not supported
  • 1
    Free for students
  • 1
    Configuration saved with project repository
  • 1
    Multi-threaded run
  • 1
    Hipchat Integration
  • 0
    Perfect

Sign up to add or upvote prosMake informed product decisions

Cons of Azure Pipelines
Cons of Travis CI
    Be the first to leave a con
    • 8
      Can't be hosted insternally
    • 3
      Feature lacking
    • 3
      Unstable
    • 2
      Incomplete documentation for all platforms

    Sign up to add or upvote consMake informed product decisions

    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 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.

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    What are some alternatives to Azure Pipelines and Travis CI?
    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.
    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.
    CircleCI
    Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.
    See all alternatives