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AWS CodePipeline vs Github Actions: What are the differences?
Introduction:
AWS CodePipeline and GitHub Actions are two popular continuous integration and continuous delivery (CI/CD) tools that enable developers to automate their software development workflows. While both tools serve the same purpose, there are several key differences between them that set them apart.
Integration with Platforms: AWS CodePipeline is tightly integrated with Amazon Web Services (AWS) and provides seamless integration with other AWS services such as AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy. On the other hand, GitHub Actions is specifically designed for GitHub repositories and provides extensive integration with the GitHub platform, making it easier to manage and automate workflows directly from GitHub.
Hosting and Infrastructure: AWS CodePipeline uses AWS services for hosting and infrastructure, which provides scalability, security, and reliability. It allows developers to leverage the underlying infrastructure of AWS for their CI/CD workflows. In contrast, GitHub Actions is hosted on GitHub's infrastructure, and the workflows are executed directly on GitHub's servers. This makes it simpler to set up and use, especially for projects hosted on GitHub.
Pricing and Cost Model: AWS CodePipeline follows AWS's pricing model, which includes per pipeline pricing based on active pipelines and additional charges for other associated services used. On the other hand, GitHub Actions offers a certain number of free minutes, known as the "free tier," for public repositories. For private repositories and additional usage, a pay-per-minute pricing model is applied, which can be more cost-effective for smaller projects.
Customization and Flexibility: AWS CodePipeline provides a wide range of AWS services that can be used as "actions" in the pipeline, enabling extensive customization and flexibility. It allows developers to build complex CI/CD pipelines using various services offered by AWS. GitHub Actions, on the other hand, offers more flexibility in terms of workflows and automation within the GitHub ecosystem. It provides the ability to create custom actions using Docker containers, making it easier to reuse and share actions across repositories.
Community and Ecosystem: GitHub Actions benefits from the large and active GitHub community, which has contributed numerous pre-built actions and workflows available in the GitHub Marketplace. This extensive ecosystem provides a wide range of ready-to-use actions to automate common tasks. While AWS CodePipeline also has a community and ecosystem, it may not be as extensive or targeted specifically towards CI/CD workflows.
Deployment Options: AWS CodePipeline offers deployment options to various platforms, including AWS services, as well as third-party platforms like Kubernetes, GitHub, and Bitbucket. It provides flexibility in deploying applications to different environments. Conversely, GitHub Actions is primarily focused on GitHub deployment and integrations, making it more suitable for projects tightly integrated with GitHub's infrastructure.
In Summary, AWS CodePipeline provides tight integration with AWS services, while GitHub Actions offers extensive integration with the GitHub platform and provides flexibility in workflows and automation. The pricing models also differ, with AWS CodePipeline aligning with AWS's pricing, and GitHub Actions having a free tier for public repositories. Ultimately, the choice between the two depends on the specific requirements of the project and the preferred ecosystem.
Pros of AWS CodePipeline
- Simple to set up13
- Managed service8
- GitHub integration4
- Parallel Execution3
- Automatic deployment2
- Manual Steps Available0
Pros of GitHub Actions
- Integration with GitHub8
- 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 AWS CodePipeline
- No project boards2
- No integration with "Power" 365 tools1
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