Case Study: C9 achieves improved application performance and real-time business insight with AppDynamics

AppDynamics gives C9 the application insight to continue delivering business insight to customers

C9 provides predictive sales applications used by customers including Google, LinkedIn and Pitney Bowes to forecast revenue, identify closable deals and reduce pipeline risk. To keep those data-driven insights timely and reliable, the company needed greater visibility into application performance—especially to diagnose intermittent problems like thread deadlocks and sporadic slow actions that were hard to pinpoint.

C9 deployed AppDynamics because it delivers deep, low‑overhead visibility into real‑time business metrics and application behavior. AppDynamics exposed deadlocks tied to a third‑party bug, highlighted slow transactions, and supplied historical comparison views that proved improvements in response time and error rates—enabling proactive performance optimization, better availability and clearer proof of progress to stakeholders.

C9

David Thompson

Vice President of Engineering