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	<title>Bhuvan Jain &#8211; Noise</title>
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		<title>Automate root cause analysis across Datadog and Elasticsearch with AWS DevOps Agent</title>
		<link>https://noise.getoto.net/2026/05/20/automate-root-cause-analysis-across-datadog-and-elasticsearch-with-aws-devops-agent/</link>
		
		<dc:creator><![CDATA[Bhuvan Jain]]></dc:creator>
		<pubDate>Tue, 19 May 2026 21:39:20 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon Bedrock AgentCore]]></category>
		<category><![CDATA[Amazon Elastic Container Registry]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS CloudTrail]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Open Distro for Elasticsearch]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Modern distributed systems route business transactions through dozens of microservices, message queues, and event streams. When a message fails to process or processing exceeds SLA thresholds, troubleshooting requires correlating logs from tools like Elasticsearch, metrics from Datadog, and infrastructure change events in AWS CloudTrail. Correlating these signals manually across heterogeneous backends, each with different query […]]]></description>
		
		
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