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	<title>Colin Carson &#8211; Noise</title>
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		<title>Create a customizable cross-company log lake, Part II: Build and add Amazon Bedrock</title>
		<link>https://noise.getoto.net/2026/01/27/create-a-customizable-cross-company-log-lake-part-ii-build-and-add-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Colin Carson]]></dc:creator>
		<pubDate>Tue, 27 Jan 2026 17:46:45 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS CloudTrail]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Expert (400)]]></category>
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		<category><![CDATA[Security, Identity & Compliance]]></category>
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					<description><![CDATA[In this post, you learn how to build Log Lake, a customizable cross-company data lake for compliance-related use cases that combines AWS CloudTrail and Amazon CloudWatch logs. You'll discover how to set up separate tables for writing and reading, implement event-driven partition management using AWS Lambda, and transform raw JSON files into read-optimized Apache ORC format using AWS Glue jobs. Additionally, you'll see how to extend Log Lake by adding Amazon Bedrock model invocation logs to enable human review of agent actions with elevated permissions, and how to use an AI agent to query your log data without writing SQL.]]></description>
		
		
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		<title>Create a customizable cross-company log lake for compliance, Part I: Business Background</title>
		<link>https://noise.getoto.net/2024/08/01/create-a-customizable-cross-company-log-lake-for-compliance-part-i-business-background/</link>
		
		<dc:creator><![CDATA[Colin Carson]]></dc:creator>
		<pubDate>Thu, 01 Aug 2024 19:39:57 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[AWS CloudTrail]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Systems Manager]]></category>
		<category><![CDATA[Compliance]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
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					<description><![CDATA[As builders, sometimes you want to dissect a customer experience, find problems, and figure out ways to make it better. That means going a layer down to mix and match primitives together to get more comprehensive features and more customization, flexibility, and freedom. In this post, we introduce Log Lake, a do-it-yourself data lake based on logs from CloudWatch and AWS CloudTrail.]]></description>
		
		
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