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	<title>Florian Mair &#8211; Noise</title>
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		<title>Krones real-time production line monitoring with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/03/28/krones-real-time-production-line-monitoring-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Florian Mair]]></dc:creator>
		<pubDate>Thu, 28 Mar 2024 16:21:06 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Kinesis Streams]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
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		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Krones provides breweries, beverage bottlers, and food producers all over the world with individual machines and complete production lines. This post shows how Krones built a streaming solution to monitor their lines, based on Amazon Kinesis and Amazon Managed Service for Apache Flink. These fully managed services reduce the complexity of building streaming applications with Apache Flink. Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale.]]></description>
		
		
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		<title>Build event-driven architectures with Amazon MSK and Amazon EventBridge</title>
		<link>https://noise.getoto.net/2023/09/28/build-event-driven-architectures-with-amazon-msk-and-amazon-eventbridge/</link>
		
		<dc:creator><![CDATA[Florian Mair]]></dc:creator>
		<pubDate>Thu, 28 Sep 2023 16:52:10 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
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					<description><![CDATA[Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In EDAs, modern event brokers, such as Amazon EventBridge and Apache Kafka, play a key role to publish and subscribe to events. EventBridge is […]]]></description>
		
		
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		<title>How Net at Work built an email threat report system on AWS</title>
		<link>https://noise.getoto.net/2022/03/31/how-net-at-work-built-an-email-threat-report-system-on-aws/</link>
		
		<dc:creator><![CDATA[Florian Mair]]></dc:creator>
		<pubDate>Thu, 31 Mar 2022 07:05:58 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Architecture]]></category>
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					<description><![CDATA[Emails are often used as an entry point for malicious software like trojan horses, rootkits, or encryption-based ransomware. The NoSpamProxy offering developed by Net at Work tackles this threat, providing secure and confidential email communication. A subservice of NoSpamProxy called 32guards is responsible for threat reports of inbound and outbound emails. With the increasing number […]]]></description>
		
		
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		<title>Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate</title>
		<link>https://noise.getoto.net/2020/12/02/building-a-scalable-streaming-data-processor-with-amazon-kinesis-data-streams-on-aws-fargate/</link>
		
		<dc:creator><![CDATA[Florian Mair]]></dc:creator>
		<pubDate>Wed, 02 Dec 2020 19:43:04 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Data is ubiquitous in businesses today, and the volume and speed of incoming data are constantly increasing. To derive insights from data, it&#8217;s essential to deliver it to a data lake or a data store and analyze it. Real-time or near-real-time data delivery can be cost prohibitive, therefore an efficient architecture is key for processing, [&#8230;]]]></description>
		
		
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