Case Study: Noventiq achieves self-healing infrastructure and faster incident response with OpenSearch

A OpenSearch Case Study

Preview of the Noventiq Case Study

Noventiq builds self-healing infrastructure for 7 million users with OpenSearch

Noventiq, a major enterprise-scale infrastructure team, was struggling with alert fatigue, slow manual incident response, and a heavy reliance on tribal knowledge. Their challenges included a high mean time to resolution (MTTR) and customer impact from disruptions. To address this, they turned to OpenSearch for a solution.

OpenSearch implemented a self-healing infrastructure architecture combining agentic AI and vector search. This system automated the detection, investigation, and remediation of incidents by using OpenSearch's vector search to contextually match errors with solutions from past runbooks and incidents. The results included faster incident resolution, a reduced operational load, and increased system resilience, significantly minimizing manual intervention and downtime.


View this case study…

OpenSearch

11 Case Studies