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In AWS DevOps, pipeline deployment patterns are used to define the strategies for deploying applications in different environments, such as single-account and multi-account setups. Let’s explore the pipeline deployment patterns for both scenarios:
1- Single-Account Environment: In a single-account environment, all the resources and infrastructure components for an application reside within a single AWS account. Here are two common pipeline deployment patterns:
a. Basic Pipeline:
- Source: The code is stored in a version control system like AWS CodeCommit or GitHub.
- Build: The pipeline fetches the code, builds the application, and packages it into deployable artifacts using services like AWS CodeBuild.
- Deploy: The pipeline deploys the artifacts to the target environment, such as AWS Elastic Beanstalk, AWS ECS, or AWS Lambda.
- Test: The pipeline runs automated tests against the deployed application using services like AWS CodeBuild or third-party testing frameworks.
- Release: Once the tests pass, the pipeline promotes the application to the production environment.
b. Advanced Pipeline:
- Source: Same as the basic pipeline.
- Build: Same as the basic pipeline.
- Deploy: The pipeline provisions the target infrastructure as code using tools like AWS CloudFormation or AWS CDK.
- Test: The pipeline deploys the application onto the provisioned infrastructure and runs tests.
- Approval: Manual or automated approval gates can be added at various stages of the pipeline for additional control.
- Release: Once approved, the pipeline deploys the application to the production environment.
2- Multi-Account Environment: In a multi-account environment, multiple AWS accounts are used to separate different stages or environments of the application, such as development, testing, and production. Here are two common pipeline deployment patterns:
a. Pipeline Per Account:
- Each AWS account has its own separate pipeline for deploying applications to its respective environment.
- The pipelines follow the same stages as the single-account environment but are isolated within each account.
- This pattern provides clear separation and control over deployments in different accounts.
b. Pipeline Chaining:
- A central pipeline exists in a shared AWS account that coordinates and triggers deployment pipelines in other accounts.
- The central pipeline manages the deployment process across multiple accounts, orchestrating the deployment of applications in each account.
- Each account has its own deployment pipeline, but the central pipeline controls the overall process.
- This pattern allows for centralized management and coordination of deployments in a multi-account environment.
These pipeline deployment patterns provide flexibility and scalability in managing the deployment process in both single-account and multi-account environments. The specific pattern chosen depends on the complexity, security requirements, and governance policies of the application and organization.
