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	<title>Amazon Managed Service for Apache Flink &#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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		<item>
		<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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d9f14eaab659cdceacb32d614888b642</guid>

					<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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		<item>
		<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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9a8859089ef89810d6305dfe2f71bb4e</guid>

					<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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		<item>
		<title>How Nexthink built real-time alerts with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2025/06/12/how-nexthink-built-real-time-alerts-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Nikos Tragaras, Raphaël Afanyan]]></dc:creator>
		<pubDate>Thu, 12 Jun 2025 12:14:29 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0ca5c8ec2c48762ca8b0d0c1992c73a3</guid>

					<description><![CDATA[In this post, we describe Nexthink’s journey as they implemented a new real-time alerting system using Amazon Managed Service for Apache Flink. We explore the architecture, the rationale behind key technology choices, and the Amazon Web Services (AWS) services that enabled a scalable and efficient solution.]]></description>
		
		
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		<item>
		<title>Unlock self-serve streaming SQL with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2025/05/28/unlock-self-serve-streaming-sql-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Sofie Zilberman]]></dc:creator>
		<pubDate>Wed, 28 May 2025 10:58:29 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=678e8c7ae882e7d6bf14ad64daa7dbbd</guid>

					<description><![CDATA[In this post, we present Riskified’s journey toward enabling self-service streaming SQL pipelines. We walk through the motivations behind the shift from Confluent ksqlDB to Apache Flink, the architecture Riskified built using Amazon Managed Service for Apache Flink, the technical challenges they faced, and the solutions that helped them make streaming accessible, scalable, and production-ready.]]></description>
		
		
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		<item>
		<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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=79bc8555623235504041ea9d1165a9a3</guid>

					<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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		<item>
		<title>Governing streaming data in Amazon DataZone with the Data Solutions Framework on AWS</title>
		<link>https://noise.getoto.net/2025/02/27/governing-streaming-data-in-amazon-datazone-with-the-data-solutions-framework-on-aws/</link>
		
		<dc:creator><![CDATA[Vincent Gromakowski]]></dc:creator>
		<pubDate>Thu, 27 Feb 2025 17:16:51 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2f1de91fbdb0914daaa3dbfc552ce601</guid>

					<description><![CDATA[In this post, we explore how AWS customers can extend Amazon DataZone to support streaming data such as Amazon Managed Streaming for Apache Kafka (Amazon MSK) topics. Developers and DevOps managers can use Amazon MSK, a popular streaming data service, to run Kafka applications and Kafka Connect connectors on AWS without becoming experts in operating it.]]></description>
		
		
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		<item>
		<title>Handle errors in Apache Flink applications on AWS</title>
		<link>https://noise.getoto.net/2025/02/06/handle-errors-in-apache-flink-applications-on-aws/</link>
		
		<dc:creator><![CDATA[Alexis Tekin]]></dc:creator>
		<pubDate>Thu, 06 Feb 2025 15:16:32 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ee033da59f17587a34826729a7040b80</guid>

					<description><![CDATA[This post discusses strategies for handling errors in Apache Flink applications. However, the general principles discussed here apply to stream processing applications at large.]]></description>
		
		
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			</item>
		<item>
		<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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=03b028dd4d5bf7e87c751729a83f083c</guid>

					<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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		<item>
		<title>Top 6 game changers from AWS that redefine streaming data</title>
		<link>https://noise.getoto.net/2024/12/17/top-6-game-changers-from-aws-that-redefine-streaming-data/</link>
		
		<dc:creator><![CDATA[Sai Maddali]]></dc:creator>
		<pubDate>Tue, 17 Dec 2024 16:35:19 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8d9d28cf8c04606ef5d53f5bba0beaa5</guid>

					<description><![CDATA[Recently, AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency. Some of these innovations have tripled performance, provided 20 times faster scaling, and reduced failure recovery times by up to 90%. We have made it nearly effortless for customers to bring real-time context to AI applications and lakehouses. In this post, we discuss the top six game changers that will redefine AWS streaming data.]]></description>
		
		
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		<item>
		<title>Build a dynamic rules engine with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/10/03/build-a-dynamic-rules-engine-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Steven Carpenter]]></dc:creator>
		<pubDate>Thu, 03 Oct 2024 17:20:41 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis Analytics]]></category>
		<category><![CDATA[Amazon Kinesis Streams]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=970b69cf800e79a9ad4a2be0d65e30a2</guid>

					<description><![CDATA[This post demonstrates how to implement a dynamic rules engine using Amazon Managed Service for Apache Flink. Our implementation provides the ability to create dynamic rules that can be created and updated without the need to change or redeploy the underlying code or implementation of the rules engine itself. We discuss the architecture, the key services of the implementation, some implementation details that you can use to build your own rules engine, and an AWS Cloud Development Kit (AWS CDK) project to deploy this in your own account.]]></description>
		
		
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		<item>
		<title>Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/09/09/publish-and-enrich-real-time-financial-data-feeds-using-amazon-msk-and-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Rana Dutt]]></dc:creator>
		<pubDate>Mon, 09 Sep 2024 18:58:36 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c3cd99e16113b958338e296ca7b98619</guid>

					<description><![CDATA[In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. You can apply this architecture pattern to various use cases within the capital markets industry; we discuss some of those use cases in this post.]]></description>
		
		
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		<item>
		<title>Improve the resilience of Amazon Managed Service for Apache Flink application with system-rollback feature</title>
		<link>https://noise.getoto.net/2024/08/14/improve-the-resilience-of-amazon-managed-service-for-apache-flink-application-with-system-rollback-feature/</link>
		
		<dc:creator><![CDATA[Subham Rakshit]]></dc:creator>
		<pubDate>Wed, 14 Aug 2024 14:22:27 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3c2ef476b8e5c029427bc56468afe19c</guid>

					<description><![CDATA[This post explores how to use the system-rollback feature in Managed Service for Apache Flink.We discuss how this functionality improves your application’s resilience by providing a highly available Flink application. Through an example, you will also learn how to use the APIs to have more visibility of the application’s operations.]]></description>
		
		
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		<title>Build a real-time analytics solution with Apache Pinot on AWS</title>
		<link>https://noise.getoto.net/2024/08/06/build-a-real-time-analytics-solution-with-apache-pinot-on-aws/</link>
		
		<dc:creator><![CDATA[Raj Ramasubbu]]></dc:creator>
		<pubDate>Tue, 06 Aug 2024 14:40:13 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Embedded Analytics]]></category>
		<category><![CDATA[Enterprise BI]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=68aa62d40ec09633fed249018756fa39</guid>

					<description><![CDATA[In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.]]></description>
		
		
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		<title>How PostNL processes billions of IoT events with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/07/15/how-postnl-processes-billions-of-iot-events-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Çağrı Çakır]]></dc:creator>
		<pubDate>Mon, 15 Jul 2024 16:55:39 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[IOT]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=de4b6c8801fab3ec8397c402ff8d7ca4</guid>

					<description><![CDATA[This post is co-written with Çağrı Çakır and Özge Kavalcı from PostNL. PostNL is the designated universal postal service provider for the Netherlands and has three main business units offering postal delivery, parcel delivery, and logistics solutions for ecommerce and cross-border solutions. With 5,800 retail points, 11,000 mailboxes, and over 900 automated parcel lockers, the […]]]></description>
		
		
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		<item>
		<title>Amazon Managed Service for Apache Flink now supports Apache Flink version 1.19</title>
		<link>https://noise.getoto.net/2024/07/08/amazon-managed-service-for-apache-flink-now-supports-apache-flink-version-1-19/</link>
		
		<dc:creator><![CDATA[Francisco Morillo]]></dc:creator>
		<pubDate>Mon, 08 Jul 2024 18:55:49 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6444d6aff3c99ca84981cde508c7589c</guid>

					<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>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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1159a156abce0e20ddc014d2448298a5</guid>

					<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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		<title>Uncover social media insights in real time using Amazon Managed Service for Apache Flink and Amazon Bedrock</title>
		<link>https://noise.getoto.net/2024/06/25/uncover-social-media-insights-in-real-time-using-amazon-managed-service-for-apache-flink-and-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Francisco Morillo]]></dc:creator>
		<pubDate>Tue, 25 Jun 2024 16:09:28 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[This post takes a step-by-step approach to showcase how you can use Retrieval Augmented Generation (RAG) to reference real-time tweets as a context for large language models (LLMs). RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. LLMs are trained on vast volumes of data and use billions of parameters to generate original output for tasks such as answering questions, translating languages, and completing sentences.]]></description>
		
		
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		<title>AWS named a Leader in IDC MarketScape: Worldwide Analytic Stream Processing Software 2024 Vendor Assessment</title>
		<link>https://noise.getoto.net/2024/05/31/aws-named-a-leader-in-idc-marketscape-worldwide-analytic-stream-processing-software-2024-vendor-assessment/</link>
		
		<dc:creator><![CDATA[Anna Montalat]]></dc:creator>
		<pubDate>Fri, 31 May 2024 16:06:18 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8c1203139951797f68c32f728003f7b6</guid>

					<description><![CDATA[We’re thrilled to announce that AWS has been named a Leader in the IDC MarketScape: Worldwide Analytic Stream Processing Software 2024 Vendor Assessment (doc #US51053123, March 2024). We believe this recognition validates the power and performance of Apache Flink for real-time data processing, and how AWS is leading the way to help customers build and […]]]></description>
		
		
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		<item>
		<title>In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported</title>
		<link>https://noise.getoto.net/2024/05/23/in-place-version-upgrades-for-applications-on-amazon-managed-service-for-apache-flink-now-supported/</link>
		
		<dc:creator><![CDATA[Jeremy Ber]]></dc:creator>
		<pubDate>Thu, 23 May 2024 16:10:44 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0c37959cdabb707c1f0d6a3fdcb15572</guid>

					<description><![CDATA[Managed Service for Apache Flink is a fully managed, serverless experience in running Apache Flink applications, and now supports Apache Flink 1.18.1, the latest released version of Apache Flink at the time of writing. In this post, we explore in-place version upgrades, a new feature offered by Managed Service for Apache Flink. We provide guidance on getting started and offer detailed insights into the feature. Later, we deep dive into how the feature works and some sample use cases.]]></description>
		
		
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