Approach • Unified Deployment Pipeline: Implement a unified deployment pipeline with AWS CodePipeline and CodeBuild, ensuring consistency and efficiency across the entire application stack. • Microservices Architecture: Embrace a microservices architecture for the backend, leveraging ECS for scalability, and deploy the frontend and Strapi on AWS AppRunner for a modular and flexible approach. • IAM Governance: Establish granular IAM policies to govern backend access, providing precise control over user permissions and ensuring a secure and compliant deployment environment. • Database Resilience: Bolster backend resilience with RDS Aurora, a multi-database solution, enhancing data integrity and scalability to meet evolving application demands. • Continuous Deployment: Foster agility through automated, continuous deployments triggered by commits to the main branch, enabling rapid and responsive releases while maintaining a secure deployment pipeline.

Activities • Deployment Pipeline Configuration: o Set up and configure AWS CodePipeline and CodeBuild for end-to-end deployment automation. o Define stages, actions, and transitions to create a unified deployment pipeline. • Microservices Architecture Implementation: o Design and deploy a microservices architecture for the backend using AWS ECS. o Configure and deploy the frontend and Strapi on AWS AppRunner for modularity. • IAM Policy Definition: o Identify and define IAM policies for precise control over backend access. o Document and implement policies to ensure security and compliance. • Resilient Database Setup: o Set up and configure RDS Aurora as a multi-database solution for the backend. o Implement failover strategies and optimize database performance. • Continuous Deployment Framework: o Establish a framework for continuous deployment triggered by commits to the main branch. o Integrate automated testing and validation within the deployment pipeline. • Documentation and Knowledge Transfer: o Document the entire deployment process, including configurations, policies, and frameworks. o Conduct knowledge transfer sessions to ensure the team is familiar with the new infrastructure and deployment workflows. • Security Audits and Testing: o Conduct security audits on IAM policies, ensuring proper access controls. o Perform testing on the entire deployment pipeline, including security and scalability assessments. • Monitoring and Optimization: o Set up monitoring tools to track the performance of the deployed infrastructure. o Optimize configurations based on monitoring insights for improved efficiency.

Deliverables • Unified Deployment Pipeline Configuration: A fully configured and automated deployment pipeline using AWS CodePipeline and CodeBuild, facilitating smooth and consistent deployment workflows for the entire application stack. • Microservices Architecture Implementation: A well-architected microservices backend deployed on ECS, seamlessly integrating with Strapi and the frontend on AWS AppRunner, providing a modular and scalable architecture. • IAM Policy Documentation: A comprehensive documentation of IAM policies, tailored to granularly control backend access. This includes policies for user permissions, ensuring a secure and compliant deployment environment. • Resilient Database Setup: Implementation and configuration of RDS Aurora as a multi-database solution, ensuring backend resilience, data integrity, and scalability to meet evolving application requirements. • Continuous Deployment Framework: A robust framework for continuous deployment, automated to trigger releases upon commits to the main branch. This includes documentation on maintaining an agile and responsive deployment process while upholding security standards.

Outcomes • Efficient and Consistent Deployments: The implementation of a unified deployment pipeline ensures efficient and consistent deployment workflows, reducing manual interventions and enhancing overall deployment speed. • Modular and Scalable Architecture: The adoption of a microservices architecture, with ECS for the backend and AppRunner for the frontend and Strapi, creates a modular and scalable infrastructure, allowing for flexibility and growth. • Enhanced Security and Compliance: The implementation of granular IAM policies ensures precise control over backend access, promoting a secure and compliant deployment environment. This strengthens overall security postures and aligns with industry compliance standards. • Resilient Database Management: The setup of RDS Aurora as a multi-database solution contributes to a resilient backend infrastructure, improving data integrity and scalability to handle varying workloads and future application growth. • Agile and Responsive Deployment Process: The introduction of a continuous deployment framework enables an agile and responsive deployment process. Automated releases triggered by main branch commits enhance agility, allowing for quick adaptation to changing requirements