New Relic has announced new agentic AI integrations with Microsoft Azure designed to streamline incident response, reduce mean time to resolution and improve productivity for developers and operations teams working with increasingly complex AI-driven systems. The enhancements, released on 19 November, bring New Relic’s observability data directly into the Azure SRE Agent and Microsoft Foundry via the company’s AI Model Context Protocol (MCP) Server.
The company said engineering teams are facing growing challenges as AI agents become more widely deployed across cloud environments. These agents often operate without access to real-time telemetry or operational context, forcing teams to switch between tools when diagnosing issues. By embedding New Relic’s observability within Azure workflows, the integrations aim to unify incident detection, root-cause analysis and remediation across the entire stack.
When alerts fire in New Relic or deployments occur, the Azure SRE Agent can now query the MCP Server for contextual insights spanning services, mobile, browser and infrastructure layers. New Relic said the combined approach enables automated detection and analysis, helping teams resolve issues more quickly.
“AI agents are poised to transform how IT and development teams work, but leaders and practitioners need intelligent observability within their workflows to realise the full potential of agentic AI,” said New Relic Chief Product Officer Brian Emerson (pictured). “With our new integrations, we bring our AI-strengthened observability directly into Microsoft Azure products and services so teams can automate workflows and surface actionable insights, without having to context-switch. Together with Microsoft, we are helping more businesses harness the power of AI for growth.”
The integration extends to Microsoft Foundry, where developers build and manage AI applications using GitHub, Visual Studio, Copilot Studio and Microsoft Fabric. New Relic Monitoring for Microsoft Foundry ingests logs and metrics directly from Azure and provides detailed performance data to help teams understand and troubleshoot their AI-powered applications.
For platform engineers and SREs, the company has also introduced Azure Autodiscovery, offering full dependency mapping and the ability to overlay configuration changes on performance graphs. The feature is intended to improve visibility of unmonitored resources and accelerate root-cause identification in distributed cloud environments.
New Relic also confirmed that its Monitoring for SAP Solutions product is now listed on the Microsoft Marketplace. The tool provides predictive insights into SAP and non-SAP system performance without requiring agents to be deployed in SAP environments.
New Relic and Microsoft said the integrations are intended to support organisations adopting AI at scale by reducing operational friction and ensuring teams can maintain service reliability as application complexity continues to grow.
