"Modern distributed systems that generate massive volumes of metrics, traces, and logs are inherently complex. The process of correlating logs, comparing configurations and switching between tools during incident management makes manual root cause analysis a bottleneck that dramatically increases the mean time to detect and resolve. Instead of manually sifting through mountains of data, Site Reliability Engineers (SREs) and DevOps teams can leverage Agentic AI to automate and enhance the incident resolution process."
"To address these challenges, New Relic partnered with AWS to integrate the New Relic Model Context Protocol (MCP) server with AWS DevOps Agent to access telemetry data providing automated root cause analysis and recommendations with cutting-edge artificial intelligence. AWS DevOps Agent is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multi-cloud, and hybrid environments."
Modern distributed systems produce massive volumes of metrics, traces, and logs that complicate manual incident analysis. Correlating logs, comparing configurations, and switching tools increases mean time to detect and resolve. Agentic AI can automate telemetry correlation, root-cause analysis, anomaly prediction, and remediation to accelerate mean time to resolution (MTTR). New Relic MCP Server provides a standardized gateway enabling external AI agents to query live observability data and execute actions without custom API integrations. AWS DevOps Agent functions as a frontier agent that resolves and proactively prevents incidents, improving reliability across AWS, multi-cloud, and hybrid environments. The integrated solution enables automated recommendations and operational actions that reduce incident toil.
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