Serverless architecture across AWS, Azure, and Google Cloud, this Terraform project showcases an Infrastructure as Code (IaC) capability, strategic multi-cloud management, and serverless technology utilization to achieve a highly scalable, reliable, and cost-efficient global application.

Designed and deployed a globally distributed, serverless application providing a public-facing API for image processing. This project spanned multiple cloud platforms—AWS, Azure, and Google Cloud—leveraging the strengths of each to ensure optimal performance, resilience, and geographical reach.

1. Serverless Architecture: Integrated AWS Lambda, Azure Functions, and Google Cloud Functions for regional application logic execution.
2. Global Database: Established data consistency across AWS DynamoDB Global Tables, Azure Cosmos DB, and Google Cloud Firestore.
3. API Gateway: Configured Amazon API Gateway, Azure API Management, and Google Cloud Endpoints for worldwide user request handling.
4. Cross-Cloud Networking: Secured cross-cloud communication via VPNs and direct connects.
5. Centralized Logging and Monitoring: Aggregated logs and metrics into Datadog, providing a unified view of the system's health.
6. IAM: Implemented a unified IAM strategy using federated identity providers across clouds.
7. Global Load Balancing: Utilized Cloudflare for DNS management, achieving efficient global traffic routing.
8. Security: Enforced best security practices including network security, data encryption, and OWASP Top 10 application security measures.
9. CI/CD Pipeline: Established a multi-cloud CI/CD pipeline with GitHub Actions, enhancing deployment efficiency and reliability.