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	<title>Madhu Nunna &#8211; Noise</title>
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		<title>How NortonLifelock built a serverless architecture for real-time analysis of their VPN usage metrics</title>
		<link>https://noise.getoto.net/2021/09/27/how-nortonlifelock-built-a-serverless-architecture-for-real-time-analysis-of-their-vpn-usage-metrics/</link>
		
		<dc:creator><![CDATA[Madhu Nunna]]></dc:creator>
		<pubDate>Mon, 27 Sep 2021 17:42:38 +0000</pubDate>
				<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Well-Architected Framework]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
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					<description><![CDATA[This post presents a reference architecture and optimization strategies for building serverless data analytics solutions on AWS using Amazon Kinesis Data Analytics. In addition, this post shows the design approach that the engineering team at NortonLifeLock took to build out an operational analytics platform that processes usage data for their VPN services, consuming petabytes of […]]]></description>
		
		
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