Case Study: Fama cuts Datadog costs by 80% with Edge Delta

Fama achieves 100% Datadog visibility while automating anomaly detection with Edge Delta

Fama, a background screening company, needed to rein in rapidly rising Datadog costs as log volumes grew and logs were often split into multiple events. After moving to Datadog from a self-hosted logging platform, the team found its monthly bill was running 2-3x over forecast and that cost-cutting approaches either didn’t reduce spend enough or created blindspots.

Edge Delta helped Fama optimize the data sent to Datadog without losing visibility, using its log analysis, anomaly detection, and integrations with AWS CloudWatch and AWS Lambda to stream only insights and aggregates while preserving raw logs for full-fidelity capture when needed. With Edge Delta, Fama cut the data indexed into Datadog by over 80% and reduced its monthly Datadog bill by 80%, while also gaining automated anomaly detection and complete visibility into system issues.

Fama

Brendten Eickstaedt

VP of Sales