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AWS CodePipeline

AWS CodePipeline

Overview

What is AWS CodePipeline?

AWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines for fast, reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code…

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Pricing

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AWS CodePipeline

$1

Cloud
per active pipeline/per month

Free Tier

Free

Cloud

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is AWS CodePipeline?

AWS CodePipeline Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(32)

Attribute Ratings

Reviews

(1-2 of 2)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
  • ease of use
  • multiple service integrations
  • option for container (ECS) support
  • automatic change detection
  • no local integration
  • interface limitations
  • time to setup
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.
  • API access
  • GitHub Enterprise integration
  • AWS native integrations
  • workflow modeling
  • reduced cost
  • reduced 'man hours'
  • lowered risk of pushing bad deployment
CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline. CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk. Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.
Alec Dibble | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
  • CodePipeline reacts very quickly to new GitHub commits. It often starts new builds nearly instantly after code is pushed.
  • The CodePipeline console & wizard is very intuitive. It was very easy to setup CodePipeline instances and define exactly required stages & the services to fulfill the stages.
  • CodePipeline allows you to easily restart failed steps, right from the status page. The web console shows the current status of the builds and seems to not lag too far behind the actual status.
  • If you are not using GitHub, the setup for integrating with a repository is complicated. Doesn't appear to offer support for other revision control services or other revision control tools out-of-the-box.
  • CodePipeline is probably too expensive for personal projects, especially if you use the other AWS tools for the pipeline steps like CodeDeploy.
  • Not as flexible or customizable as a self-hosted Jenkins server.
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.
  • CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
  • CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
  • CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.
I felt that, out of the alternatives, AWS CodePipeline was the simplest to setup and most reliable. Since my client's infrastructure was already hosted in AWS, I felt it was a no-brainer. If a client needed a similar solution with on-prem or non-AWS infrastructure, I would probably evaluate a different solution. AWS CodePipeline is pretty tightly coupled with the rest of the AWS ecosystem.
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