Case Study: Uprise achieves continuous real-time monitoring of 100% of metrics with Anodot

Uprise’s “Monitoring on Steroids” with Anodot

Uprise is an ad‑tech company that uses machine‑learning to optimize performance advertising and pushes about 20 software releases to production daily. With hundreds of thousands of metrics, seasonal traffic patterns, and many moving parts (servers, affiliates, ad blockers, fraud), the team struggled to spot non‑extreme but business‑critical changes—traditional tools like Pingdom and Nagios only caught major outages, and isolating causes was slow and time‑consuming.

By adopting Anodot’s full‑stack anomaly detection, Uprise now monitors 100% of its metrics instead of relying on static thresholds. Anodot automatically surfaces meaningful anomalies (positive and negative), timestamps them for quick correlation with releases, cuts through noise, reduces false alerts, and gives the whole company real‑time visualizations—enabling faster root‑cause analysis, better rollback decisions, and clearer visibility into revenue impact.

Uprise

Doron Ben-David

CTO