Case Study: Redis Labs achieves real-time, scalable customer monitoring to reduce churn and enable upsells with Anodot

Uncovering Hidden Insights: Redis Labs Adopts AI-Driven Business Monitoring to Support Stand-Out Customer Success

Redis Labs, the company behind Redis Enterprise that manages over one million databases for more than 7,900 customers, needed to scale customer success without multiplying resources. As their footprint grew into the Fortune 500, their Gainsight-based monitoring with fixed thresholds lost visibility into granular KPIs—causing false positives, missed issues, and an inability to adapt to diverse customer usage patterns such as varying latency and memory behaviors.

They adopted Anodot’s AI-driven Autonomous Business Monitoring, which uses machine learning to learn baselines, detect anomalies in real time across billions of metrics, and deliver adaptive alerts to the right teams and channels. The result was faster detection and remediation, more proactive customer outreach that reduced churn and opened upsell opportunities (amounting to significant revenue potential), simpler configuration and integration, and materially faster time-to-resolution.

Redis

Oren Yaqobi

SVP Customer Success