Case Study: Modjo reduces MongoDB Atlas costs by 75% with MongoDB Professional Services

Modjo cuts Atlas CPU usage by 80% and costs by 75% with MongoDB

Modjo, a SaaS platform providing conversational intelligence for sales teams, faced severe performance bottlenecks and high costs with its MongoDB Atlas database. Despite using a large cluster, the system suffered from 100% CPU saturation driven by inefficient data access patterns and connection management. MongoDB proactively reached out and engaged its Professional Services team to help diagnose and resolve these issues.

MongoDB Professional Services identified that the application was creating excessive new database connections and sessions without proper reuse or closure. After implementing MongoDB's recommended code changes to reuse a single client and explicitly close sessions, Modjo saw immediate dramatic improvements. CPU usage dropped from 100% to 20% within hours, allowing a move to an eight-times smaller Atlas instance. This resulted in a 75% reduction in monthly MongoDB Atlas costs and significantly improved application performance.

Modjo