Case Study: Grindr achieves scalable, optimized performance and faster troubleshooting with New Relic

A New Relic Case Study

Preview of the Grindr Case Study

Dating App Grindr Hooks Up With New Relic to Scale and Optimize

Grindr, the first and largest gay mobile dating network (launched in 2009), serves two million daily active users in 196 countries and handles enormous traffic—about 85 million chat messages and 3 million chat images per day, amounting to nearly a billion API calls. As the app evolves from hookup service to broader lifestyle resource, these scale and visibility demands exposed gaps in end-to-end performance monitoring and made rapid troubleshooting increasingly difficult.

To address this, Grindr modernized its stack with out-of-the-box technologies (Elasticsearch, Redis, RabbitMQ, AWS, etc.) and added New Relic in 2016 to gain transaction-level insights. New Relic’s detailed “layer cake” views let engineers quickly pinpoint problems—cutting troubleshooting to under 30 minutes—while rollout to production (25 engineers across DevOps and SRE teams) and planned use of New Relic Mobile are improving frontend tracing, performance optimization, and overall user experience.


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Grindr

Joel Simkhai

Chief Executive Officer


New Relic

273 Case Studies