In today's cloud-native world, engineering teams generate terabytes of logs, metrics, and traces daily. Manually sifting through this data to identify issues is like finding a needle in a haystack—time-consuming, error-prone, and often too slow to prevent user impact.
Enter AI agents powered by Elasticsearch. By combining Elasticsearch's advanced query capabilities with intelligent agent orchestration, we can automate log analysis, detect anomalies in real-time, and visualize insights that would take humans hours to uncover.
This post explores how we built a multi-agent system that leverages Elasticsearch features to automatically analyze logs, correlate events, and provide actionable visualizations—reducing Mean Time To Resolution (MTTR) by 40% and manual triage steps from 10 to just 2.
(more…)