In this tutorial, we will create a pipeline that uses CodeCommit as source repository. We clone the CodeCommit repository to local machine, make changes, commits it in local Git repo and then push it into CodeCommit. When the code is updated in CodeCommit, it triggers CodePipeline.
⛳Link to cheatsheet (step by step procedure to complete the lab):
https://github.com/unuste37/YTResourc...
CodeCommit User Guide:
https://docs.aws.amazon.com/codecommi...
CodeCommit FAQ:
https://aws.amazon.com/codecommit/faqs/
⛳CodePipeline User Guide:
https://docs.aws.amazon.com/codepipel...
⛳CodePipeline FAQ:
https://aws.amazon.com/codepipeline/f...
⛳CodeDeploy FAQ:
https://aws.amazon.com/codedeploy/faqs/
⛳DevOps Workshops:
https://workshops.aws/categories/DevOps
⛳CodePipeline:
AWS CodePipeline is a continuous delivery service that enables you to model, visualize, and automate the steps required to release your software. With AWS CodePipeline, you model the full release process for building your code, deploying to pre-production environments, testing your application and releasing it to production. AWS CodePipeline then builds, tests, and deploys your application according to the defined workflow every time there is a code change. You can integrate partner tools and your own custom tools into any stage of the release process to form an end-to-end continuous delivery solution.
⛳CodeCommit:
AWS CodeCommit is a version control service hosted by Amazon Web Services that you can use to privately store and manage assets (such as documents, source code, and binary files) in the cloud.
⛳CodeDeploy:
AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.
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