Customers of all sizes have been successfully using Amazon OpenSearch Service to power their observability workflows and gain visibility into their applications and infrastructure. During incident investigation, Site Reliability Engineers (SREs) and operations center personnel rely on OpenSearch Service to query logs, examine visualizations, analyze patterns, correlate traces to find the root cause of the incident, and reduce Mean Time to Resolution (MTTR). When an incident happens that triggers alerts, SREs typically jump between multiple dashboards, write specific queries, check recent deployments, and correlate between logs and traces to piece together a timeline of events. Not only is this process largely manual, but it also creates a cognitive load on these personnel, even when all the data is readily available. This is where agentic AI can help, by being an intelligent assistant that can understand how to query, interpret various telemetry signals, and systematically…
https://aws.amazon.com/blogs/big-data/reduce-mean-time-to-resolution-with-an-observability-agent/
