AWS CodePipeline Professional, Scientific, and Technical Services Reviews & Insights

CodePipeline is used by many development teams across the company. We are a heavy GitHub Enterprise user, but those who are seeking a CI/CD type product that has a slick integration with GitHub AND native AWS support - those users always go to CodePipeline. It can also integrate with S3 which is a huge advantage for those who have code files deployed in AWS already and can blend them with files from their teams enterprise GitHub repos. Some of our users also rely on CodeCommit and have integrated CodePipeline with that service as well. The major problem it solves for us is ease of integration and the ability to fully automate + test a release.

CodePipeline is well suited for an already existing AWS-native deployment. It is very easy to connect to existing repos like GitHub enterprise or cloud repos like CodeCommit. Being able to define the process by code (YAML) is a huge benefit for developers who favor that type of deployment setup. The UI is easy to use yet very powerful and customizable. Being able to leverage CloudTrail or Lambda is quite powerful, especially in larger more complex projects.
It becomes less valuable with smaller projects or locally hosted deployments that don't get the benefits of a managed service in the AWS ecosystem. However, there are agents that can be run on private servers to allow integration. But naturally, smaller one-off projects benefit less from the automation value derived by CodePipeline.

AWS CodePipeline is being used as a continuous integration/continuous deployment tool at my organization. It is used by specific teams that require builds within a CI/CD developer workflow. The business problems it addresses is the need for automated code deployment and testing pipeline that allows for a continuous flow of code from testing to staging to deployment.

AWS CodePipeline is well suited for a specific software engineering workflow. If there is a need to deploy code within a framework, then this is a great tool to automate the code deployments outward. The scenarios where it is less appropriate is in situations of internal tooling or other code that might not change as often or are tools running locally.

AWS CodePipeline is one piece of several autoscaling back-end infrastructures I have launched in AWS. CodePipeline, in conjunction with CodeDeploy, allows for automated testing, building & deployment of Github & S3 hosted code. CodePipeline can be thought of the orchestrator of a typical AWS code deployment setup. It allows you to setup the source of the code change (S3/Github/etc) and then define the steps the code takes. For example, you can implement a build step using AWS CodeBuild. You can also implement test & deploy steps. By using CodeDeploy, you can keep a fleet of instances up-to-date with the latest code releases.

I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.