AWS CodePipeline Reviews

Name: AWS CodePipeline
Brand: Amazon Web Services (AWS)
Rating: 4.2 (23 reviews)

4.2 out of 5

23 reviews
95% willing to recommend

What is AWS CodePipeline?

AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define. This enables you to rapidly and reliably deliver features and updates. You can easily integrate AWS CodePipeline with third-party services such as GitHub or with your own custom plugin. With AWS CodePipeline, you only pay for what you use. There are no upfront fees or long-term commitments.

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AWS CodePipeline is the #5 ranked solution in top Build Automation solutions. PeerSpot users give AWS CodePipeline an average rating of 8.4 out of 10. AWS CodePipeline is most commonly compared to GitLab: AWS CodePipeline vs GitLab. AWS CodePipeline is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 15% of all views.

Helped 857,688 peers since 2012

Featured AWS CodePipeline reviews

Istiyak Ahmed

Sr. AWS Cloud System Administrator at Workmates Core2Cloud

Our primary use case for CodePipeline involves deploying the different services, such as hosting a website on ECS or EC2 and deploying source code on container services or EC2 instances. We configure the source code with remote repositories like GitHub or Bitbucket, build the code, and store images…

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Subhendu Sekhar

DevOps Engineer at TechMinfy

In Jenkins, we can use custom plugins from the open-source market to integrate the pipeline with any third-party application. In AWS CodePipeline, we can only use certain tools for which AWS provisions plugins. Otherwise, we have to create Lambda functions and write our own Lambda code to make those tools compatible with each other. We recently used a DAST tool called Rapid7, for which we didn't have a plugin. We have a plugin for Rapid7 in Jenkins, but we don't have a plugin in AWS CodePipeline. We had to write a Lambda function using the Requests module to do all the authentication.

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Usama Malik

DevOps Engineer at Lightmeter

I am a freelancer, and I usually work with many companies across the globe. I have been doing it for over the last five years. I work with various AWS services, mainly focusing on ECS, EC2, S3, CodePipeline, and RDS. Additionally, I work with serverless services like Lambda, API Gateway, Cognito…

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AWS CodePipeline mindshare

As of June 2025, the mindshare of AWS CodePipeline in the Build Automation category stands at 5.3%, down from 8.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Build Automation

PeerResearch reports based on AWS CodePipeline reviews

Type	Title	Date
Category	Build Automation	Jun 19, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 19, 2025	Download
Comparison	AWS CodePipeline vs GitLab	Jun 19, 2025	Download
Comparison	AWS CodePipeline vs Tekton	Jun 19, 2025	Download
Comparison	AWS CodePipeline vs Jenkins	Jun 19, 2025	Download

Title	Rating	Mindshare	Recommending
GitLab	4.3	15.4%	97%	84 interviews Add to research
Jenkins	4.0	10.5%	87%	93 interviews Add to research

Valuable Features

AWS CodePipeline offers seamless integration with AWS services, enhancing deployment automation and CI/CD workflows. Its integration capabilities surpass alternatives like Jenkins, providing centralized management and flexibility. Users value its comprehensive tools like CodeDeploy, CodeBuild, CodeCommit, and support for complex deployments such as blue and green. Cost-effectiveness through on-demand usage and the ability to handle large-scale operations without managing agents further enhance its appeal. Its security measures and environment transitioning features are also noteworthy.

"AWS CodePipeline's most valuable feature is its seamless integration with other AWS services, making it easier to orchestrate deployment processes."
"The management of CodeBuild and CodeDeploy on a three-point trigger basis is an important feature."
"I prefer using CodePipeline and CodeBuild in AWS due to their integration with AWS services, like directly deploying to ECS using Cloud Deploy."

Room for Improvement

AWS CodePipeline users desire reduced costs and improved multi-cloud compatibility. Enhancements in documentation and technical support are needed. Improved customization, integration, and build times are requested. Users want easier migrations and the ability to configure tagging conditions in the UI. Enhanced user experience, visual representation of pipeline progress, and additional notification capabilities are important. Efficient support and integration options with tools like SonarQube, Jenkins, and Rapid7 are also sought after.

"The documentation for AWS CodePipeline is lacking and makes it difficult to find information due to its complexity. It would be helpful to have examples in the documentation for different project types like Laravel or Django."
"AWS CodePipeline works effectively, and I haven't identified any specific areas needing improvement as it has been quite satisfying in terms of deployment needs."
"AWS CodePipeline is quite a simple tool mostly for management and creating automation."

ROI

AWS CodePipeline is cost-effective, saving developers time by allowing them to focus on problem-solving. It enhances ROI through time optimization and efficient resource management. Agile development is streamlined as CI/CD pipelines enable quick testing, reducing the time to deploy features daily. Additional benefits include enhanced monitoring and observability, fulfilling reliability requirements. Customers save time and resources though detailed metrics on ROI are typically anticipated over a longer period, similar to using AWS Batch.

Pricing

AWS CodePipeline pricing varies based on usage patterns, job frequency, and the number of active pipelines. Users find it generally affordable, especially when compared to maintaining separate server costs like Jenkins or GitLab. It employs a pay-as-you-go model, with costs mainly driven by associated AWS services consumed, such as EC2 and S3. Although considered manageable and reasonable by many, some note it as more expensive compared to alternatives. Users appreciate its absence of upfront license fees.

"The pricing is manageable."
"AWS charges you based on the number of pipelines you have and how active they are, and I also think that the root account user knows about all the price-related metrics."
"The price of the product depends on how many times you run it. The tool offers a pay-as-you-go model."

Popular Use Cases

AWS CodePipeline is primarily used for automating code deployments and CI/CD processes across various environments. Users deploy applications to AWS infrastructure, including containers and serverless services like Lambda. CodePipeline integrates with services like CodeCommit, CodeBuild, and CodeDeploy, enhancing development speed and facilitating continuous integration. It supports complex architectures, manages deployments on ECS and EC2, and leverages third-party tools for comprehensive DevOps workflows.

Service and Support

AWS CodePipeline customer service receives positive feedback, noted for being effective and responsive, yet costly. Support quality varies, with some individuals experiencing quick resolutions and improvements through expert advice, while others face delays. Interaction depends on the plan, with business plans receiving faster responses than basic or developer plans. Some users manage issues without support, relying on clear documentation, but acknowledge AWS support’s availability and helpfulness when needed.

Deployment

Users mention that AWS CodePipeline's initial setup can vary in complexity. Some find it straightforward with good documentation, while others struggle with dependencies and documentation issues, extending setup time. Automation can ease setup, and using tools like Terraform can simplify the process. Security precautions are essential, and advanced users find deployment in the cloud manageable. Learning the features and ensuring communication during setup can streamline the process.

Scalability

AWS CodePipeline consistently demonstrated high scalability, with ratings frequently reaching nine or ten out of ten. Users praised its support for multiple pipelines and wide range of deployment models without encountering significant issues. While some noted certain scalability dependencies and limitations, especially on Linux, others highlighted its capability to handle varied workloads. Many valued its autoscaling options, while a few mentioned needing to improvise for specific worker-related challenges.

Stability

AWS CodePipeline is considered highly stable by users, rated between eight to ten out of ten. Users report it works efficiently if configured properly, without significant issues during deployment. While bugs and timeout errors occur, they are generally during development and not production. Stability relies on correct setup and communication with developers to avoid breakages. CodePipeline's performance aligns with expectations, remaining reliable with 99.99% uptime.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our AWS CodePipeline Buyer's Guide for additional reliable information.