Case Study: Cardlytics achieves highest service levels and faster problem resolution with Sumo Logic

Applying Sumo Logic to machine data ensures the highest service levels for the world’s biggest financial institutions

Cardlytics is an advertising platform embedded in banks’ digital channels that processes purchase data from more than 100 million monthly active users to power targeted reward programs. Managing separate, client-dedicated environments generated massive, fragmented machine data that made aggregation, correlation, and troubleshooting slow and error-prone; Cardlytics needed a scalable, easy-to-use solution that let teams self-serve while meeting strict SLAs for large financial clients.

Cardlytics replaced its in-house ELK stack with cloud-native Sumo Logic, ingesting roughly 75 GB of logs per day from about 2 billion API calls, and rolled the tool out to 100+ users across development, operations, and support. With per-client dashboards and automated alerts, teams gained instant visibility, resolved issues faster—often before customers noticed—and improved SLA compliance for its largest banking partners.

Cardlytics

Biju Samuel

Vice President, IT and Operations