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	<title>Lorenzo Nicora &#8211; Noise</title>
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		<title>Achieve full control over your data encryption using customer managed keys in Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2025/09/05/achieve-full-control-over-your-data-encryption-using-customer-managed-keys-in-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Fri, 05 Sep 2025 20:33:20 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Encryption of both data at rest and in transit is a non-negotiable feature for most organizations. Furthermore, organizations operating in highly regulated and security-sensitive environments—such as those in the financial sector—often require full control over the cryptographic keys used for their workloads. Amazon Managed Service for Apache Flink makes it straightforward to process real-time data […]]]></description>
		
		
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		<title>Deep dive into the Amazon Managed Service for Apache Fink application lifecycle – Part 2</title>
		<link>https://noise.getoto.net/2025/09/04/deep-dive-into-the-amazon-managed-service-for-apache-fink-application-lifecycle-part-2/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Wed, 03 Sep 2025 21:21:35 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In Part 1 of this series, we discussed fundamental operations to control the lifecycle of your Amazon Managed Service for Apache Flink application. In this post, we explore failure scenarios that can happen during normal operations or when you deploy a change or scale the application, and how to monitor operations to detect and recover when something goes wrong.]]></description>
		
		
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		<title>Deep dive into the Amazon Managed Service for Apache Fink application lifecycle – Part 1</title>
		<link>https://noise.getoto.net/2025/09/04/deep-dive-into-the-amazon-managed-service-for-apache-fink-application-lifecycle-part-1/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Wed, 03 Sep 2025 21:21:23 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this two-part series, we explore what happens during an application’s lifecycle. This post covers core concepts and the application workflow during normal operations. In Part 2, we look at potential failures, how to detect them through monitoring, and ways to quickly resolve issues when they occur.]]></description>
		
		
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		<title>Process millions of observability events with Apache Flink and write directly to Prometheus</title>
		<link>https://noise.getoto.net/2025/04/09/process-millions-of-observability-events-with-apache-flink-and-write-directly-to-prometheus/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Wed, 09 Apr 2025 19:54:00 +0000</pubDate>
				<category><![CDATA[Amazon Managed Grafana]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Service for Prometheus]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[open source]]></category>
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					<description><![CDATA[In this post, we explain how the new connector works. We also show how you can manage your Prometheus metrics data cardinality by preprocessing raw data with Flink to build real-time observability with Amazon Managed Service for Prometheus and Amazon Managed Grafana.]]></description>
		
		
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		<title>Introducing the new Amazon Kinesis source connector for Apache Flink</title>
		<link>https://noise.getoto.net/2024/12/18/introducing-the-new-amazon-kinesis-source-connector-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Wed, 18 Dec 2024 15:02:31 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[On November 11, 2024, the Apache Flink community released a new version of AWS services connectors, an AWS open source contribution. This new release, version 5.0.0, introduces a new source connector to read data from Amazon Kinesis Data Streams. In this post, we explain how the new features of this connector can improve performance and reliability of your Apache Flink application.]]></description>
		
		
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		<title>Amazon Managed Service for Apache Flink now supports Apache Flink version 1.18</title>
		<link>https://noise.getoto.net/2024/03/18/amazon-managed-service-for-apache-flink-now-supports-apache-flink-version-1-18/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Mon, 18 Mar 2024 21:03:18 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis Analytics]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful processing and event time semantics. Apache Flink supports multiple programming languages, Java, Python, Scala, SQL, and multiple APIs with different level of abstraction, which can be used interchangeably in the same […]]]></description>
		
		
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		<title>Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2</title>
		<link>https://noise.getoto.net/2023/09/14/optimize-checkpointing-in-your-amazon-managed-service-for-apache-flink-applications-with-buffer-debloating-and-unaligned-checkpoints-part-2/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Thu, 14 Sep 2023 18:36:37 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Kinesis Data Analyltics]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[This post is a continuation of a two-part series. In the first part, we delved into Apache Flink‘s internal mechanisms for checkpointing, in-flight data buffering, and handling backpressure. We covered these concepts in order to understand how buffer debloating and unaligned checkpoints allow us to enhance performance for specific conditions in Apache Flink applications. In […]]]></description>
		
		
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		<item>
		<title>Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 1</title>
		<link>https://noise.getoto.net/2023/09/14/optimize-checkpointing-in-your-amazon-managed-service-for-apache-flink-applications-with-buffer-debloating-and-unaligned-checkpoints-part-1/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Thu, 14 Sep 2023 18:36:05 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Kinesis Data Analyltics]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[This post is the first of a two-part series regarding checkpointing mechanisms and in-flight data buffering. In this first part, we explain some of the fundamental Apache Flink internals and cover the buffer debloating feature. In the second part, we focus on unaligned checkpoints. Apache Flink is an open-source distributed engine for stateful processing over […]]]></description>
		
		
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