Case Study: Match.com improves application performance and reduces latency with Splunk AppDynamics

Match.com reduces latency and scales for 30-40% traffic spikes with Splunk

Match.com, a company focused on creating meaningful connections through its dating services, faced a significant challenge when migrating parts of its complex infrastructure to Amazon Web Services (AWS). They needed to maintain a high standard of performance and gain visibility across their numerous on-premise and cloud-native applications, a system they referred to as the "Death Star." To address this, they turned to the vendor Splunk and its product, Splunk AppDynamics.

By implementing Splunk AppDynamics, Match.com gained a single pane of glass for full-stack observability. The solution provided critical, real-time data that allowed the team to anticipate and minimize latency issues during the cloud migration and proactively address performance bottlenecks. The results for Match.com included improved application performance, the ability to handle traffic spikes of 30-40%, and a reduction in latency. Splunk enabled them to streamline their infrastructure and continue delivering a reliable service to millions of users.

Match.com