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	<title>Felix John &#8211; Noise</title>
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		<title>Amazon Managed Service for Apache Flink application lifecycle management with Terraform </title>
		<link>https://noise.getoto.net/2026/02/17/amazon-managed-service-for-apache-flink-application-lifecycle-management-with-terraform/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Tue, 17 Feb 2026 17:49:36 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[java]]></category>
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					<description><![CDATA[In this post, you’ll learn how to use Terraform to automate and streamline your Apache Flink application lifecycle management on Amazon Managed Service for Apache Flink. We’ll walk you through the complete lifecycle including deployment, updates, scaling, and troubleshooting common issues. This post builds upon our two-part blog series “Deep dive into the Amazon Managed Service for Apache Flink application lifecycle".]]></description>
		
		
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		<title>Build a streaming data mesh using Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/09/10/build-a-streaming-data-mesh-using-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Wed, 10 Sep 2025 16:50:11 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[AWS provides two primary solutions for streaming ingestion and storage: Amazon Managed Streaming for Apache Kafka (Amazon MSK) or Amazon Kinesis Data Streams. These services are key to building a streaming mesh on AWS. In this post, we explore how to build a streaming mesh using Kinesis Data Streams.]]></description>
		
		
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		<title>Build a real-time streaming generative AI application using Amazon Bedrock, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2024/06/27/build-a-real-time-streaming-generative-ai-application-using-amazon-bedrock-amazon-managed-service-for-apache-flink-and-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Thu, 27 Jun 2024 18:10:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Data streaming enables generative AI to take advantage of real-time data and provide businesses with rapid insights. This post looks at how to integrate generative AI capabilities when implementing a streaming architecture on AWS using managed services such as Managed Service for Apache Flink and Amazon Kinesis Data Streams for processing streaming data and Amazon Bedrock to utilize generative AI capabilities. We include a reference architecture and a step-by-step guide on infrastructure setup and sample code for implementing the solution with the AWS Cloud Development Kit (AWS CDK). You can find the code to try it out yourself on the GitHub repo.]]></description>
		
		
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