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	<title>Steven Aerts, Reza Radmehr &#8211; Noise</title>
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		<title>How Airties achieved scalability and cost-efficiency by moving from Kafka to Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/05/29/how-airties-achieved-scalability-and-cost-efficiency-by-moving-from-kafka-to-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Steven Aerts, Reza Radmehr]]></dc:creator>
		<pubDate>Thu, 29 May 2025 15:04:14 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Airties is a wireless networking company that provides AI-driven solutions for enhancing home connectivity. This post explores the strategies the Airties team employed during their migration from Apache Kafka to Amazon Kinesis Data Streams, the challenges they overcame, and how they achieved a more efficient, scalable, and maintenance-free streaming infrastructure.]]></description>
		
		
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