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Advice on Azure Pipelines and GitHub Actions
Balaramesh Thiyagaraj
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.
Replies (1)
shailesh shah
If your source code is on GitHub, also take a look at Github actions. https://github.com/features/actions
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Learn MorePros of Azure Pipelines
Pros of GitHub Actions
Pros of Azure Pipelines
- Easy to get started4
- Unlimited CI/CD minutes3
- Built by Microsoft3
- Yaml support2
- Docker support2
Pros of GitHub Actions
- Integration with GitHub7
- Free5
- Easy to duplicate a workflow3
- Ready actions in Marketplace3
- Configs stored in .github2
- Docker Support2
- Read actions in Marketplace2
- Active Development Roadmap1
- Fast1
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Cons of Azure Pipelines
Cons of GitHub Actions
Cons of Azure Pipelines
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Cons of GitHub Actions
- Lacking [skip ci]5
- Lacking allow failure4
- Lacking job specific badges3
- No ssh login to servers2
- No Deployment Projects1
- No manual launch1
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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.
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What tools integrate with Azure Pipelines?
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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.