OpenSearch
11 Case Studies
A OpenSearch Case Study
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.