AWS CodePipeline Reviews and Ratings

Use Cases and Deployment Scope

Our IT Ops use AWS CodePipeline as a continuous delivery service in our company. We use it for easy and automated deployment of our applications and micro-services. This product makes sure that our applications and micro-services are properly built and well tested before they are deployed in production and uses the proper and uniform configuration across those applications.

Likelihood to Recommend

The AWS CodePipeline service is very well suited if you already use Amazon Web Services for some of your other Cloud needs. Also, if you want to be agile in your web application development, a continuous delivery service like AWS CodePipeline will be very useful and will make deployment faster, easier and well built.

Use Cases and Deployment Scope

It is used across the whole organization to automatically build, deploy, test, and migrate data to the stacks. In this way, we have unique environments for each branch that allows us to see the expected changes for testing manually and the results of the integration tests. In updates in each push to the branch.

Likelihood to Recommend

It is very suited for automation of build, data migration, deployment, and tests for a stack for every push on a branch (or with a different configuration). For large projects, this is great. It facilitates the process of development and testing. Sometimes the space (and costs) are a constraint but the facility is worth it.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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.

Use Cases and Deployment Scope

AWS CodePipeline is used to manage CI/CD pipelines for various products we build for customers on AWS. It is being used for such products associated with various projects across our whole organization. It enabled us to build delivery pipelines for applications we are deploying on AWS native stacks.

Likelihood to Recommend

AWS CodePipeline is the best solution to use if your application stack is completely AWS-native. This means you are exclusively using AWS tools to manage your source control, build management, and you are deploying your applications to AWS services such as EC2, Elastic Beanstalk, Lambda, EMR, etc. It integrates very well with AWS CodeCommit, CodeBuild, and Elastic Beanstalk to manage source control, building, and deployment. However, it does not integrate too well with third-party source control and build management tools such as Github, Travis, Jenkins, CodeShip, etc.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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.

Use Cases and Deployment Scope

Our business uses AWS CodePipeline to connect our repository to our Snowflake Database. We are currently using it to push changes made in our repo to the Snowflake Database. It is a crucial part of our ingestion process and how we determine changes are made and when they are made. It addresses the need to make scheduled changes to our environment.

Likelihood to Recommend

AWS CodePipeline is well suited if your company is already using AWS as the main tool. It also works with ATOM Repository and Snowflake cohesively. There are other options on the marketplace that have the same functionality as AWS CodePipeline. It is only really appropriate if its integrated in the rest of your AWS infrastructure.

Use Cases and Deployment Scope

CodePipeline is a very flexible continuous integration and continuous delivery tool. Our organization development team uses it to build and deploy our app; it makes deploying within the AWS environment a bit easier.

Likelihood to Recommend

If you're already on AWS, then using it as your build/test/deploy system makes a lot of sense. However, there are easier tools out there to do it that may not be as flexible, or may work better with your source control system.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

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.