"On-call engineers spend hours manually investigating incidents across multiple observability tools, logs, and monitoring systems. This process delays incident resolution and impacts business operations, especially when teams need to correlate data across different monitoring platforms. AWS DevOps Agent (in preview) is a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments."
"Frontier agents represent a new class of AI agents that are autonomous, massively scalable, and work for hours or days without constant intervention. AWS DevOps Agent offers built-in integration with Datadog Model Context Protocol (MCP) Server, enabling you to access the untapped insights in your data by connecting directly to Datadog's monitoring solutions. DevOps Agent maps your application resources and correlates telemetry, code, and deployment data to reduce MTTR (Mean Time To Resolution) and drive operational excellence."
On-call engineers face lengthy manual investigations across multiple observability tools, logs, and monitoring systems, delaying incident resolution and affecting business operations. AWS DevOps Agent is a frontier AI agent that autonomously resolves and prevents incidents while improving application reliability and performance across AWS, multicloud, and hybrid environments. The agent integrates with Datadog Model Context Protocol (MCP) Server to access monitoring data, map application resources, and correlate telemetry, code, and deployment information. The integration enables collection and analysis of Datadog logs, metrics, and traces, provides mitigation plans during incidents, offers a central dashboard and interactive chat, and reduces MTTR from hours to minutes while preserving visibility into automated actions.
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