Real Estate Website – Lambda & MongoDB

Objective & Constraints

Ensuring secure and performant communication between serverless functions and a central MongoDB database across accounts. The platform's event-driven architecture required hundreds of concurrent Lambda functions to ingest property listing updates, but establishing new database connections for each invocation was overwhelming the MongoDB connection pool.

Strategic Implementation

Architected a serverless infrastructure leveraging AWS Lambda and established secure cross-VPC connectivity via VPC peering. Implemented MongoDB Atlas with AWS PrivateLink to ensure traffic never traversed the public internet, and utilized MongoDB Data API/connection pooling proxies to handle the serverless connection spikes.

Protocol Execution

• Serverless: Migrated key workloads to AWS Lambda for event-driven execution, drastically reducing compute costs during low-traffic night hours.
• Database: Designed MongoDB architecture with high availability and secure peering using AWS PrivateLink for enterprise-grade security.
• Infrastructure: Managed secure cross-VPC networking, strict security group rules, and enforced KMS encryption at rest and TLS in transit.
• Optimization: Achieved significant cost savings using serverless compute models and implemented RDS Proxy-like connection pooling for MongoDB to stabilize database performance.

Professional Reflection

"Serverless architectures offer incredible cost and scaling benefits, but they expose new bottlenecks, specifically around database connections. Designing for serverless requires rethinking how application layers interact with state."