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Azure Pipelines

Continuously build, test, and deploy to any platform and cloud
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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.
Azure Pipelines is a tool in the Continuous Integration category of a tech stack.

Who uses Azure Pipelines?

Companies
59 companies reportedly use Azure Pipelines in their tech stacks, including accuRx, Platform Development Team, and Roar Publicis.

Developers
179 developers on StackShare have stated that they use Azure Pipelines.

Azure Pipelines Integrations

Python, Node.js, Docker, Slack, and Kubernetes are some of the popular tools that integrate with Azure Pipelines. Here's a list of all 21 tools that integrate with Azure Pipelines.
Pros of Azure Pipelines
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Easy to get started
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Unlimited CI/CD minutes
3
Built by Microsoft
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Yaml support
2
Docker support
Decisions about Azure Pipelines

Here are some stack decisions, common use cases and reviews by companies and developers who chose Azure Pipelines in their tech stack.

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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Azure Pipelines's Features

  • Any language, any platform
  • Containers and Kubernetes
  • Extensible
  • Deploy to any cloud
  • Open source
  • Advanced workflows and features

Azure Pipelines Alternatives & Comparisons

What are some alternatives to Azure Pipelines?
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.
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Azure Pipelines's Followers
285 developers follow Azure Pipelines to keep up with related blogs and decisions.