Use cases of AWS CodePipeline

AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates your release pipelines for fast and reliable application and infrastructure updates. Its deep integration with AWS services—and flexibility to include third-party tools—makes it ideal for a variety of deployment strategies.

The image shows a DevOps lifecycle diagram with stages like Source, Build, Test, Deploy, CI, and CD, flanked by "aws" and "non aws" logos.

1. All-AWS Pipeline

When you want an end-to-end AWS-only solution, CodePipeline orchestrates native AWS services at each stage:

The image illustrates a DevOps workflow using AWS services, featuring AWS CodeCommit and Amazon S3 for source control, AWS CodeBuild for building, and AWS CodeDeploy for deployment.

Stage	AWS Service	Description
Source	CodeCommit / S3	Manage application code or store build artifacts
Build	CodeBuild (with CodeArtifact)	Compile, test, and package. Integrate [CodeArtifact] for dependencies
Deploy	CodeDeploy	Automate deployments to EC2, on-premises, or Lambda

Note

Amazon S3 can serve as both a source and an artifact store. You can version objects or set lifecycle rules to manage storage costs.

2. Hybrid Pipeline with Third-Party Tools

Already invested in tools like GitHub or Jenkins? No problem—CodePipeline integrates them seamlessly:

Stage	CodePipeline Integration	Example Third-Party Tool
Source	Webhooks / GitHub Action	GitHub, Bitbucket
Build	Custom action / Plugin	Jenkins, CircleCI
Test	Parallel actions	Selenium, JMeter
Approval	Manual approval step	—

Warning

When connecting Jenkins agents, ensure your IAM roles and security groups allow CodePipeline to trigger Jenkins builds.

3. Flexible Deployment Targets

Choose the runtime that matches your workload. CodePipeline deploys across containers, servers, PaaS, and serverless:

The image displays four AWS deployment services: Amazon ECS, AWS Elastic Beanstalk, Amazon EC2, and AWS Lambda, each with its respective icon.

Deployment Type	AWS Service	Use Case
Containers	Amazon ECS / EKS	Microservices, Dockerized workloads
Virtual Servers	Amazon EC2	Legacy or custom AMI-based apps
PaaS	AWS Elastic Beanstalk	Simplified platform management
Serverless	AWS Lambda	Event-driven functions

Note

Lambda deployments can use Serverless Application Model (SAM) or custom CloudFormation actions in CodePipeline.

Summary

AWS CodePipeline enables you to:

Build a fully AWS-managed CI/CD pipeline
Integrate your favorite third-party DevOps tools
Deploy to multiple runtime environments

Whether you’re migrating to AWS or enhancing an existing DevOps workflow, CodePipeline’s extensibility and deep service integrations help you ship faster and more reliably.

Links and References

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