AWS Application Modernization: CI/CD Pipeline with CodePipeline

Overview Manual and inconsistent deployment processes slow down engineering teams and introduce security and compliance risk. Adastra's AWS application modernization engagement delivers a fully automated, end-to-end CI/CD deployment pipeline built on AWS CodePipeline, CodeBuild, ECS, and AppRunner. Granular IAM policies govern backend access, RDS Aurora provides database resilience, and continuous deployment is triggered automatically by main branch commits, giving engineering teams a secure, scalable, production-ready pipeline that eliminates manual intervention and accelerates release velocity.

Approach Adastra implements a unified deployment pipeline using AWS CodePipeline and CodeBuild, ensuring consistency and efficiency across the entire application stack. The backend is deployed as a microservices architecture on ECS for scalability, while the frontend and Strapi are deployed on AWS AppRunner for modularity and flexibility. Granular IAM policies govern backend access, RDS Aurora provides multi-database resilience, and a continuous deployment framework automates releases triggered by main branch commits with integrated testing and validation throughout.

Activities

• Set up and configure AWS CodePipeline and CodeBuild for end-to-end deployment automation, defining stages, actions, and transitions.
• Design and deploy a microservices backend on AWS ECS, and configure the frontend and Strapi on AWS AppRunner.
• Define and implement granular IAM policies for precise backend access control and compliance documentation.
• Set up and configure RDS Aurora as a multi-database solution with failover strategies and performance optimization.
• Establish a continuous deployment framework triggered by main branch commits with integrated automated testing and validation.
• Document the full deployment process including configurations, policies, and frameworks, and conduct knowledge transfer sessions.
• Conduct security audits on IAM policies and perform end-to-end pipeline testing including security and scalability assessments.
• Set up monitoring tools to track deployed infrastructure performance and optimize configurations based on monitoring insights.

Deliverables

• Fully configured and automated deployment pipeline using AWS CodePipeline and CodeBuild.
• Microservices backend deployed on ECS, with Strapi and frontend deployed on AWS AppRunner.
• Comprehensive IAM policy documentation with granular access controls for a secure and compliant deployment environment.
• RDS Aurora configured as a multi-database solution with failover and performance optimization.
• Continuous deployment framework with automated release triggers, testing, and security validation.

Outcomes

• Efficient and consistent deployments with reduced manual intervention and improved overall deployment speed.
• Modular and scalable microservices architecture with flexibility to grow and adapt as application requirements evolve.
• Enhanced security and compliance through granular IAM policy governance across the full deployment pipeline.
• Resilient database management with RDS Aurora supporting data integrity and scalability under varying workloads.
• Agile and responsive deployment process with automated releases enabling rapid adaptation to changing requirements.

Adastra: Your AWS Partner for Data, AI, and Cloud Adastra is an AWS Premier Consulting Partner with over 25 years of experience delivering data, AI, and cloud solutions across financial services, retail, manufacturing, and distribution. Our AWS application modernization engagements combine deep DevOps expertise with cloud-native AWS architecture to deliver secure, scalable CI/CD pipelines. Adastra gives engineering and platform teams a trusted partner to modernize deployment workflows and accelerate release velocity with confidence.