A new technical series examines the performance and cost implications of MongoDB implementation choices. The author builds a fraud detection application that analyzes transaction statuses for users over multi-year periods. All code is available on GitHub for replication.

The study uses a rigorous load testing methodology with concurrent Bulk Upsert and Get Reports functions. Initial datasets span 10 years with 500 million events, designed to exceed the server's memory. Tests run on AWS EC2 instances with production-optimized configurations.

Results will compare implementations from beginner to expert levels, measuring throughput at rates up to 1,000 events per second and 250 report requests per second. The goal is to quantify how proper data modeling and MongoDB expertise translate into tangible infrastructure savings.