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	<title>Nina Chen &#8211; Noise</title>
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		<title>Production-Ready Autonomous Incident Resolution with AWS DevOps Agent (now GA) and Datadog MCP Server</title>
		<link>https://noise.getoto.net/2026/06/19/production-ready-autonomous-incident-resolution-with-aws-devops-agent-now-ga-and-datadog-mcp-server/</link>
		
		<dc:creator><![CDATA[Nina Chen]]></dc:creator>
		<pubDate>Thu, 18 Jun 2026 22:57:42 +0000</pubDate>
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					<description><![CDATA[This post was co-written with Bharadwaj Tanikella (AI/ML Product Engineering Leader) and Mohammad Jama (Product Marketing Manager) from Datadog. In December 2025, we showed how AWS DevOps Agent and Datadog MCP Server could work together to autonomously correlate monitoring data with the infrastructure deployed and configured on AWS to resolve incidents in minutes instead of […]]]></description>
		
		
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		<title>Accelerate autonomous incident resolutions using the Datadog MCP server and AWS DevOps agent (in preview)</title>
		<link>https://noise.getoto.net/2025/12/04/accelerate-autonomous-incident-resolutions-using-the-datadog-mcp-server-and-aws-devops-agent-in-preview/</link>
		
		<dc:creator><![CDATA[Nina Chen]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 16:55:21 +0000</pubDate>
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		<category><![CDATA[devops]]></category>
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					<description><![CDATA[This post was co-written with Omri Sass (Director of Product Management), Cansu Berkem (Director of Product Management), and Mohammad Jama (Product Marketing Manager) from Datadog. 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 […]]]></description>
		
		
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