While standard dashboards only tell you that something is broken, the new AWS DevOps Agent - leveraging New Relic’s full-stack observability as its primary data source - actually tells you why. By treating New Relic as its source of truth, the agent autonomously navigates your stack, correlating P99 latency spikes with specific code commits or infrastructure drift. It’s essentially an SRE teammate that never sleeps, with instant access to your entire telemetry pipeline.

Join us as we deep dive into the Agentic AI workflow, showing you how to connect the AWS DevOps Agent to New Relic via the Model Context Protocol (MCP). You'll learn to move beyond reactive alerting and build a system where AI-driven investigation triggers the second a threshold is breached - delivering a comprehensive root-cause analysis so you can bypass the manual triage process and deploy a fix immediately. 

• MCP Integration: Connect the AWS DevOps Agent to New Relic’s GraphQL API to give your AI "eyes" across your full stack.
• Autonomous Root-Cause: Watch the agent traverse traces and logs to pinpoint the exact O(n) bottleneck or misconfigured microservice.
• Proactive Hardening: Use AI to audit your New Relic Golden Signals and identify "silent" failures before they trigger a P0 incident.