How to build CI/CD on AWS: Best practices and configuration ideas for automation

In application development, there is a growing demand for rapid response to changes while maintaining high quality. To achieve frequent deployments and short lead times, there is a growing trend to establish CI/CD pipelines.

Amazon Web Services (AWS)provides fully managed functionality required for CI/CD, focusing on AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. By unifying your development infrastructure on AWS, you can achieve scalability, security, and operational efficiency in a consistent manner.

This article explains the design points you need to keep in mind when building a CI/CD environment on AWS, how to use key services, and configuration patterns for each application type. It covers a wide range of use cases, from containers and serverless to web apps and static sites, and provides practical knowledge you can use right away.

The meaning and benefits of building CI/CD on AWS

Amazon Web Services (AWS)Understanding the purpose of establishing a CI/CD infrastructure above will make it easier to decide on an implementation policy. In this chapter, we will explain the background to the need for CI/CD and the benefits of building it on AWS.

Background of the need for CI/CD

CI/CD is considered important as a foundation for shortening development cycles while ensuring quality. In recent years, application updates have become more frequent, and manual deployments are prone to errors and require additional work. By implementing automated CI/CD, code building, testing, and deployment proceed in a consistent manner, shortening lead times. As a result, an environment is created where development teams can focus on improvements and new features.

Benefits realized with AWS

Using AWS as a foundation allows you to handle everything from CI/CD construction to operation in a consistent manner. By combining fully managed services such as AWS CodePipeline and AWS CodeBuild, you can build a scalable and stable pipeline. In addition, it is easy to integrate with existing services such as Amazon EC2, Amazon ECS, and AWS Lambda, giving you a wide range of deployment options. It also makes it easier to set up mechanisms to enhance security, such as permission management using IAM and auditing with AWS CloudTrail. The ability to use a unified security infrastructure across AWS also leads to improved operational efficiency.

Key services that make up CI/CD on AWS

AWS offers a full suite of fully managed services for building a CI/CD pipeline step by step. Here we will organize the core services and the points of integration with external tools.

AWS CodePipeline

AWS CodePipeline is a pipeline management service that connects a series of processes from source acquisition to building, testing, and deployment. It allows you to visualize the execution status of each stage, making it easy to identify and improve failures. Because it is designed to be integrated with AWS services, you can run pipelines continuously after configuration.

AWS CodeBuild

AWS CodeBuild is a container-based service that automates source code builds and unit tests. You can use build environments on a pay-per-use basis, and scale-out is also automatic. By describing build procedures in buildspec.yml, it is easy to ensure reproducibility across multiple environments.

AWS CodeDeploy

AWS CodeDeploy is a service for automated deployment to application environments such as Amazon EC2, Amazon ECS, and AWS Lambda. It supports both in-place and blue/green deployments, allowing you to perform gradual updates while avoiding service outages. Rollbacks are also easy to configure, enhancing the safety of your deployments.

AWS CodeCommit

AWS CodeCommit is a version control service used when you want to operate repositories within AWS. It works with IAM to unify permission management, making it suitable for companies that want to maintain strict network and security standards.

Other services that can be integrated

AWS CI/CD can also be integrated with external services such as GitHub Actions, Bitbucket Pipelines, and Terraform Cloud. This allows for flexible configuration even in cases where you want to utilize your existing CI infrastructure and integrate only the deployment part with AWS.

AWS CI/CD Pipeline Implementation Steps

When building a CI/CD pipeline on AWS, you organize the process step by step, from repository preparation to deployment and notification settings. Standardizing each step allows for continuous improvement and stable delivery.

1. Preparing your repository and branching strategy

First, decide on a policy for source code management and branch operation. Choose a repository service such as GitHub or AWS CodeCommit and organize branches according to the development, staging, and production environments. Establishing clear branching rules will make pipeline automation go more smoothly.

2. Define the pipeline in AWS CodePipeline

Next, define the overall CI/CD flow in AWS CodePipeline. By combining stages such as source acquisition, build, test, and deployment in order, you can manage the execution order and conditions. By setting the services and approval steps to be used for each stage, you can achieve both automation and governance.

3. Automate build and test execution with AWS CodeBuild

Builds and tests are automated using AWS CodeBuild. Build procedures are written in buildspec.yml, and processing is executed in a container-based environment. Utilizing the cache function can improve processing speed, helping to shorten development team lead times.

4. Automate deployment with AWS CodeDeploy

AWS CodeDeploy is used to deploy applications. It supports Amazon EC2, Amazon ECS, and AWS Lambda, and you can choose between in-place and blue/green methods depending on your environment. By incorporating gradual updates and rollback settings, you can achieve stable operation while reducing the risks during updates.

5. Notification and approval flow for the entire pipeline

Finally, we will establish a notification and approval flow. By linking with social media or Slack, you can share the results of builds and deployments in real time. Adding manual approval steps and rollback settings to AWS CodePipeline will also strengthen quality control and governance.

Configuration patterns by architecture

The pipeline configuration used on AWS varies depending on the type of application. By combining the appropriate services for each execution platform, you can ensure the stability and speed of update work.

Pipeline for container apps (Amazon ECS/AWS Fargate)

For apps running on Amazon ECS or AWS Fargate, a configuration combining AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy is suitable. AWS CodeBuild builds container images, stores them in ECR, and AWS CodeDeploy manages updates to Amazon ECS. It also supports updating task definitions and blue/green deployments, improving operational efficiency.

Pipeline for Kubernetes (Amazon EKS)

In an Amazon EKS environment, the preferred deployment method is to combine AWS CodePipeline and AWS CodeBuild and use eksctl or kubectl. The typical workflow is to place a pre-built container image in ECR and apply a manifest from AWS CodeBuild. This provides a high degree of flexibility in cluster management and can also handle complex architectures.

Serverless (AWS Lambda) pipeline

For AWS Lambda applications, AWS CodePipeline combined with SAM and CDK is effective. AWS CodeBuild packages the code, and AWS CodeDeploy updates the AWS Lambda version. A mechanism for gradually switching traffic can also be used, enabling stable serverless operation.

Static Site/Front-End Patterns

Amazon S3 + Amazon CloudFront + AWS CodePipeline (Amplify integration also available)

For static sites and front-end apps, the configuration is centered around Amazon S3 and Amazon CloudFront. By linking with AWS CodePipeline, builds can be automatically updated to Amazon S3 and Amazon CloudFront cache updates can also be synchronized. It can also be combined with Amplify, allowing you to automate update work while reducing operational burden.

CI/CD Security and Permission Design

Because pipelines continuously access AWS environments, it is important to properly design permissions and secret management. It is important to separate the information handled during builds and deployments and establish a secure operational foundation.

IAM roles and least privilege design

In CI/CD, the pipeline, build, and deployment processes each access different AWS resources. Therefore, it is best to set up dedicated IAM roles for each role and assign only the least privileges. By separating roles for AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy, you can prevent unintended operations and reduce security risks.

Secrets Management

Credentials used in builds and deployments are managed using Parameter Store and AWS Secrets Manager. By strictly avoiding embedding them directly in environment variables, you can prevent information leakage. AWS CodeBuild can be integrated with these services, allowing you to configure it to reference values ​​only when necessary.

Artifact encryption and auditing

Artifacts handled by the pipeline are stored in Amazon S3, so SSE encryption is enabled. Operation history is recorded in AWS CloudTrail, and AWS CodePipeline's own logs are output to Amazon CloudWatch Logs. By managing audit logs in an integrated manner, suspicious operations and failure patterns can be identified early on, improving operational safety.

Operational Best Practices

Stable operation of a CI/CD pipeline requires continuous improvement, including release methods, testing, metrics management, and cost optimization. By developing an operational design, you can achieve both quality and speed.

Utilizing Blue/Green and Canary deployments

To minimize the impact on the production environment while proceeding with updates, we combine Blue/Green and Canary deployments. By preparing the new version separately from the existing environment and switching over gradually, you can quickly revert to the original version if a problem is found. This can be used with Amazon ECS, AWS Lambda, or Amazon EC2, leading to stable release operations.

Enhanced test automation

The success of CI/CD depends heavily on the quality of testing. Automate a combination of unit tests, E2E tests, and load tests to detect the impact of changes early. By incorporating tests into the pipeline, you can reduce manual review work and maintain a high level of quality.

Pipeline visualization and metrics

Visualize pipeline success rates, failure rates, processing times, and more with Amazon CloudWatch. Identify bottlenecks at each stage and identify processes that need improvement. Continuously monitor logs and metrics to maintain pipeline reliability.

Cost Optimization

AWS CodeBuild's build time is directly related to costs, so we use caching and parallel builds to reduce build times. By adjusting the build environment to the appropriate specifications, you can reduce costs while ensuring the necessary processing performance. Regularly review build logs to reduce unnecessary processing and optimize operational costs across the entire pipeline.

Common mistakes and workarounds

Problems that tend to occur after introducing CI/CD can be prevented by taking measures during the design stage. We will organize measures to ensure build reproducibility, deployment safety, and prevent configuration management from becoming dependent on one person.

The build environment has too many dependencies to reproduce

If manual configuration remains in the build environment, behavior will vary from developer to developer, causing problems. Fix the build environment with Docker and organize the necessary processes in buildspec.yml. The build results will be the same regardless of who runs it, preventing failures due to environmental differences.

Service outages due to vague deployment design

If the deployment method is unclear, it may affect the production environment. By clarifying blue/green deployment and rollback procedures, you can reduce the risk of updates. By utilizing AWS CodeDeploy's automatic rollback settings, you can quickly recover from failures.

Pipelines become personalized

If a pipeline relies on individual knowledge, changes will have a significant impact. By coding configurations using CDK or Terraform and managing them centrally in a repository, adopting IaC makes the pipeline change history visible and keeps it easy to handle for the entire team.

My Feelings, Then and Now

Building a CI/CD environment on AWS can improve deployment speed, stabilize quality, and reduce operational burden all at once. A fully managed environment centered on AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy is easy to scale and integrate with existing AWS resources, making it suitable as a foundation for establishing a continuous delivery system.

By building a pipeline structure based on architecture, permission design, and security measures, you can maintain a safe and highly reproducible development flow. Furthermore, by incorporating blue/green deployment and test automation, you can increase the reliability of update work and make it easier to implement a continuous improvement cycle. Implementing CI/CD is an initiative that leads to improved productivity and higher service quality for development organizations.