To address the client’s challenges, we designed and implemented a fully serverless, event-driven architecture on AWS that significantly reduced operational costs and improved scalability. By replacing the always-on EC2 instance with AWS Lambda, we introduced a pay-per-execution model that eliminated idle compute charges and allowed the system to auto-scale based on actual demand. This migration ensured optimal resource utilization and laid the foundation for a highly resilient and cost-efficient backend.

We also decomposed the monolithic application into modular microservices. Key workloads, such as batch file processing and invoice extraction, were handled by dedicated Lambda functions. This separation of concerns allowed each function to operate independently, optimizing processing efficiency and fault isolation. Decoupled communication between services was achieved using message queues, improving system reliability and scalability under varying loads.

To enhance processing capabilities, we added advanced file handling that supports both single-file and folder-based uploads, along with ZIP file extraction. Using AWS Bedrock services, we enabled intelligent document conversion and normalization to standard formats, improving downstream data processing accuracy and flexibility.

Security was reinforced through the use of AWS Secrets Manager for managing credentials, strict IAM policies with least privilege access, and full encryption for both data in transit and at rest. Additionally, we implemented Infrastructure as Code using AWS CloudFormation, ensuring consistent environment setup and repeatable deployments. A fully automated CI/CD pipeline using AWS CodePipeline enabled rapid and safe deployments with integrated testing, version control, and rollback capabilities.