Case Study: Gametime achieves deep MongoDB visibility and cost-saving reliability with VividCortex

Leveraging VividCortex for Deep Visibility

Gametime is a San Francisco–based mobile platform for last‑minute event tickets that runs on AWS with MongoDB 3.2 and a small engineering organization of full‑stack teams (no dedicated DBA). The team was experiencing unexplained database behavior — inconsistent CPU and transaction metrics, read‑replica spikes, and unclear sizing decisions — and MongoDB’s basic tools left them “blind” to root causes.

By adopting VividCortex for deep, interactive MongoDB monitoring, Gametime gained actionable visibility that democratized database troubleshooting (even junior engineers can find slow queries). VividCortex revealed that adding read replicas worsened performance, surfaced under‑optimized queries, and guided targeted fixes, resulting in faster clusters, fewer servers, reduced costs, and improved reliability as part of the team’s daily workflow.

Gametime

Charles Rice

VP of Engineering