Case Study: Shutterstock achieves real-time infrastructure health and anomaly detection with MemSQL

Shutterstock’s Secret to a Healthy IT Infrastructure

Shutterstock, a global two-sided marketplace for creative content with tens of millions of images and millions of video and music clips, needed real-time visibility into site performance and user engagement. Their existing monitoring triggered delayed alerts and could not analyze the massive flow of metrics at hyperscale, so they required a distributed, highly available system that could process and query data instantly.

Shutterstock deployed MemSQL to ingest and query tens of thousands of data points per second using familiar SQL, giving engineers real-time analytics and anomaly detection. The solution improved site resilience and speed, enabled immediate infrastructure management and troubleshooting, and allowed Shutterstock to react to user behavior and operational issues as they happen.

Shutterstock

Chris Fischer

Vice President of Technology Operations