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	<title>Customer Solutions &#8211; Noise</title>
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		<title>Medidata’s journey to a modern lakehouse architecture on AWS</title>
		<link>https://noise.getoto.net/2025/11/27/medidatas-journey-to-a-modern-lakehouse-architecture-on-aws/</link>
		
		<dc:creator><![CDATA[Mike Araujo]]></dc:creator>
		<pubDate>Thu, 27 Nov 2025 01:00:46 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Case Study]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we show you how Medidata created a unified, scalable, real-time data platform that serves thousands of clinical trials worldwide with AWS services, Apache Iceberg, and a modern lakehouse architecture.]]></description>
		
		
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		<item>
		<title>How Octus achieved 85% infrastructure cost reduction with zero downtime migration to Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2025/11/26/how-octus-achieved-85-infrastructure-cost-reduction-with-zero-downtime-migration-to-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Vaibhav Sabharwal]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 19:38:41 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6ddbafbb4cf3b37629c4ab71746d0fb1</guid>

					<description><![CDATA[This post highlights how Octus migrated its Elasticsearch workloads running on Elastic Cloud to Amazon OpenSearch Service. The journey traces Octus’s shift from managing multiple systems to adopting a cost-efficient solution powered by OpenSearch Service.]]></description>
		
		
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		<item>
		<title>Announcing CloudFormation IDE Experience: End-to-End Development in Your IDE</title>
		<link>https://noise.getoto.net/2025/11/19/announcing-cloudformation-ide-experience-end-to-end-development-in-your-ide/</link>
		
		<dc:creator><![CDATA[Damola Oluyemo]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 19:01:49 +0000</pubDate>
				<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c14b3a4c626c414d32a1656ac4b085e1</guid>

					<description><![CDATA[If you’ve developed AWS CloudFormation templates, you know the drill; write YAML(YAML Ain’t Markup Language) in your IDE(Integrated Development Environment), switch to the AWS Management Console to validate, jump to documentation to verify property names. Then run CFN Lint(Cloudformation Linter) in your terminal, deploy and wait, then troubleshoot failures back in the console. This constant […]]]></description>
		
		
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			</item>
		<item>
		<title>How Yelp modernized its data infrastructure with a streaming lakehouse on AWS</title>
		<link>https://noise.getoto.net/2025/11/13/how-yelp-modernized-its-data-infrastructure-with-a-streaming-lakehouse-on-aws/</link>
		
		<dc:creator><![CDATA[Umesh Dangat]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 18:07:22 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9b1697f50c9954aed81b8a3820fb23a5</guid>

					<description><![CDATA[This is a guest post by Umesh Dangat, Senior Principal Engineer for Distributed Services and Systems at Yelp, and Toby Cole, Principle Engineer for Data Processing at Yelp, in partnership with AWS. Yelp processes massive amounts of user data daily—over 300 million business reviews, 100,000 photo uploads, and countless check-ins. Maintaining sub-minute data freshness with […]]]></description>
		
		
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		<item>
		<title>Scaling data governance with Amazon DataZone: Covestro success story</title>
		<link>https://noise.getoto.net/2025/11/03/scaling-data-governance-with-amazon-datazone-covestro-success-story/</link>
		
		<dc:creator><![CDATA[Jörg Janssen]]></dc:creator>
		<pubDate>Mon, 03 Nov 2025 21:02:06 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1f2181b18e9d7d33980dfdcf7921e2b2</guid>

					<description><![CDATA[In this post, we show you how Covestro transformed its data architecture by implementing Amazon DataZone and AWS Serverless Data Lake Framework, transitioning from a centralized data lake to a data mesh architecture. The implementation enabled streamlined data access, better data quality, and stronger governance at scale, achieving a 70% reduction in time-to-market for over 1,000 data pipelines.]]></description>
		
		
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		<item>
		<title>Stifel’s approach to scalable Data Pipeline Orchestration in Data Mesh</title>
		<link>https://noise.getoto.net/2025/10/22/stifels-approach-to-scalable-data-pipeline-orchestration-in-data-mesh/</link>
		
		<dc:creator><![CDATA[Srinivas Kandi, Hossein Johari, Ahmad Rawashdeh, Lei Meng]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 21:02:00 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=132b926f661baca17cc6f31626e32123</guid>

					<description><![CDATA[Stifel Financial Corp, a diversified financial services holding company is expanding its data landscape that requires an orchestration solution capable of managing increasingly complex data pipeline operations across multiple business domains. Traditional time-based scheduling systems fall short in addressing the dynamic interdependencies between data products, requires event-driven orchestration. Key challenges include coordinating cross-domain dependencies, maintaining data consistency across business units, meeting stringent SLAs, and scaling effectively as data volumes grow. Without a flexible orchestration solution, these issues can lead to delayed business operations and insights, increased operational overhead, and heightened compliance risks due to manual interventions and rigid scheduling mechanisms that cannot adapt to evolving business needs. In this post, we walk through how Stifel Financial Corp, in collaboration with AWS ProServe, has addressed these challenges by building a modular, event-driven orchestration solution using AWS native services that enables precise triggering of data pipelines based on dependency satisfaction, supporting near real-time responsiveness and cross-domain coordination.]]></description>
		
		
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		<item>
		<title>How Twilio built a multi-engine query platform using Amazon Athena and open-source Presto</title>
		<link>https://noise.getoto.net/2025/10/21/how-twilio-built-a-multi-engine-query-platform-using-amazon-athena-and-open-source-presto/</link>
		
		<dc:creator><![CDATA[Amber Runnels]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 20:57:32 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Presto]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0e2ce42226e35576856ac1ad4cd68d72</guid>

					<description><![CDATA[At Twilio, we manage a 20 petabyte-scale Amazon S3 data lake that serves the analytics needs of over 1,500 users, processing 2.5 million queries monthly and scanning an average of 85 PB of data. To meet our growing demands for scalability, emerging technology support, and data mesh architecture adoption, we built Odin, a multi-engine query platform that provides an abstraction layer built on top of Presto Gateway. In this post, we discuss how we designed and built Odin, combining Amazon Athena with open-source Presto to create a flexible, scalable data querying solution.]]></description>
		
		
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		<item>
		<title>Infrastructure as Code at Thomson Reuters with AWS CDK</title>
		<link>https://noise.getoto.net/2025/10/21/infrastructure-as-code-at-thomson-reuters-with-aws-cdk/</link>
		
		<dc:creator><![CDATA[Vu San Ha Huynh]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 07:28:37 +0000</pubDate>
				<category><![CDATA[AWS CDK]]></category>
		<category><![CDATA[AWS Cloud Development Kit]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Infrastructure as Code]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b11623b481cb31b73ace89815dc93377</guid>

					<description><![CDATA[This post is cowritten by Danilo Tommasina and Lalit Kumar B from Thomson Reuters. Large organizations often struggle with infrastructure management challenges including compliance issues, development bottlenecks and errors from inconsistent AWS resource creation across teams. Without standardized naming, tagging and policy enforcement, teams face repeated boilerplate code and difficulty accessing centrally-managed resources. In this […]]]></description>
		
		
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		<item>
		<title>Boosting Unit Test Automation at Audible with Amazon Q Developer</title>
		<link>https://noise.getoto.net/2025/10/10/boosting-unit-test-automation-at-audible-with-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[Kirankumar Chandrashekar]]></dc:creator>
		<pubDate>Fri, 10 Oct 2025 19:01:08 +0000</pubDate>
				<category><![CDATA[AI/ML]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[testing]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9c3768d5e44680d62a1128e753c6db78</guid>

					<description><![CDATA[Audible, an Amazon company, is a leading producer and provider of audio storytelling. With a vast library of over 1,000,000 titles including audiobooks, podcasts, and Audible Originals with specific curated offerings available in each marketplace, Audible makes it easy to transform everyday moments into extraordinary opportunities for learning, imagination, and entertainment through immersive audio experiences. […]]]></description>
		
		
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		<title>Breaking down data silos: Volkswagen’s approach with Amazon DataZone</title>
		<link>https://noise.getoto.net/2025/10/07/breaking-down-data-silos-volkswagens-approach-with-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Bandana Das]]></dc:creator>
		<pubDate>Tue, 07 Oct 2025 17:28:21 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[data-mesh]]></category>
		<category><![CDATA[Manufacturing]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=dde37b6f6a75f5b55d0bd1de5a743211</guid>

					<description><![CDATA[In this post, we introduce Amazon DataZone and explore how Volkswagen used Amazon DataZone to build their data mesh, tackle the challenges encountered, and break the data silos.]]></description>
		
		
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		<item>
		<title>Moeve: Controlling resource deployment at scale with AWS CloudFormation Guard Hooks</title>
		<link>https://noise.getoto.net/2025/10/07/moeve-controlling-resource-deployment-at-scale-with-aws-cloudformation-guard-hooks/</link>
		
		<dc:creator><![CDATA[Pablo Sánchez Carmona]]></dc:creator>
		<pubDate>Tue, 07 Oct 2025 11:50:17 +0000</pubDate>
				<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS CloudFormation Stackset]]></category>
		<category><![CDATA[AWS Control Tower]]></category>
		<category><![CDATA[AWS Organizations]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=24738c44254f8ab5fba108c8a6a2dd42</guid>

					<description><![CDATA[This post is co-written with Rayco Martínez Hernández, Head of Cloud Governance at Moeve. Moeve, formerly known as Cepsa, is a global integrated energy company with over 90 years of experience and more than 11,000 employees. Moeve is committed to driving Europe’s energy transition and accelerating decarbonization efforts. The company has embraced digital transformation to […]]]></description>
		
		
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		<item>
		<title>Bridging data silos: cross-bounded context querying with Vanguard’s Operational Read-only Data Store (ORDS) using Amazon Redshift</title>
		<link>https://noise.getoto.net/2025/10/07/bridging-data-silos-cross-bounded-context-querying-with-vanguards-operational-read-only-data-store-ords-using-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Naresh Rajaram]]></dc:creator>
		<pubDate>Mon, 06 Oct 2025 21:32:33 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4624d6280c36765e28bb6ba76a0e7518</guid>

					<description><![CDATA[At Vanguard, we faced significant challenges with our legacy mainframe system that limited our ability to deliver modern, personalized customer experiences. Our centralized database architecture created performance bottlenecks and made it difficult to scale services independently for our millions of personal and institutional investors. In this post, we show you how we modernized our data architecture using Amazon Redshift as our Operational Read-only Data Store (ORDS).]]></description>
		
		
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		<title>Multi-Cloud Code Deployments using Amazon Q Developer with Echo3D</title>
		<link>https://noise.getoto.net/2025/10/03/multi-cloud-code-deployments-using-amazon-q-developer-with-echo3d/</link>
		
		<dc:creator><![CDATA[Kevon Mayers]]></dc:creator>
		<pubDate>Fri, 03 Oct 2025 14:59:50 +0000</pubDate>
				<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Case Study]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Development]]></category>
		<category><![CDATA[Top Posts*]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0e0d4a6664271da8006027389a21835c</guid>

					<description><![CDATA[Overview Founded in 2018, echo3D built a revolutionary 3D digital asset management (DAM) platform to address the surging demand for immersive content across industries. The company’s platform enables enterprises to seamlessly store, secure, optimize, and share 3D content, serving over 200,000 professionals across energy, healthcare, gaming, retail, and beyond. echo3D’s platform has become the go-to […]]]></description>
		
		
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		<title>Modernization of real-time payment orchestration on AWS</title>
		<link>https://noise.getoto.net/2025/10/02/modernization-of-real-time-payment-orchestration-on-aws/</link>
		
		<dc:creator><![CDATA[Neeraj Kaushik]]></dc:creator>
		<pubDate>Wed, 01 Oct 2025 23:34:00 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon CloudFront]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS partner]]></category>
		<category><![CDATA[AWS Partner Network]]></category>
		<category><![CDATA[AWS Solutions Implementations]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[ibm]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Public Sector Partners]]></category>
		<category><![CDATA[Regions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9214ad312cb5b6a21e770a6b4a95f560</guid>

					<description><![CDATA[The global real-time payments market is experiencing significant growth. According to Fortune Business Insights, the market was valued at USD 24.91 billion in 2024 and is projected to grow to USD 284.49 billion by 2032, with a CAGR of 35.4%. Similarly, Grand View Research reports that the global mobile payment market, valued at USD 88.50 […]]]></description>
		
		
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		<title>Optimize security operations with AWS Security Incident Response</title>
		<link>https://noise.getoto.net/2025/09/24/optimize-security-operations-with-aws-security-incident-response/</link>
		
		<dc:creator><![CDATA[Kyle Shields]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 22:09:43 +0000</pubDate>
				<category><![CDATA[AWS Incident Response]]></category>
		<category><![CDATA[AWS security]]></category>
		<category><![CDATA[AWS Security and Compliance]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compliance]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[security]]></category>
		<category><![CDATA[Security Blog]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[threat detection and incident response]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c6c00a8ec8dc4c7656b1748371c5c15f</guid>

					<description><![CDATA[Security threats demand swift action, which is why AWS Security Incident Response delivers AWS-native protection that can immediately strengthen your security posture. This comprehensive solution combines automated triage and evaluation logic with your security perimeter metadata to identify critical issues, seamlessly bringing in human expertise when needed. When Security Incident Response is integrated with Amazon […]]]></description>
		
		
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		<title>A scalable, elastic database and search solution for 1B+ vectors built on LanceDB and Amazon S3</title>
		<link>https://noise.getoto.net/2025/09/22/a-scalable-elastic-database-and-search-solution-for-1b-vectors-built-on-lancedb-and-amazon-s3/</link>
		
		<dc:creator><![CDATA[Audra Devoto]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 17:15:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[startup]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c304264373de5b5e058d9d7fa3973731</guid>

					<description><![CDATA[In this post, we explore how Metagenomi built a scalable database and search solution for over 1 billion protein vectors using LanceDB and Amazon S3. The solution enables rapid enzyme discovery by transforming proteins into vector embeddings and implementing a serverless architecture that combines AWS Lambda, AWS Step Functions, and Amazon S3 for efficient nearest neighbor searches.]]></description>
		
		
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		<title>Trellix achieved 35% cost savings and enhanced security with Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2025/09/19/trellix-achieved-35-cost-savings-and-enhanced-security-with-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Leeneksh Dubey]]></dc:creator>
		<pubDate>Fri, 19 Sep 2025 15:48:17 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f300bdd5ef7733877f52bfd664229f8f</guid>

					<description><![CDATA[Trellix, a global leader in cybersecurity solutions, emerged in 2022 from the merger of McAfee Enterprise and FireEye. To address exponential log growth across their multi-tenant, multi-Region infrastructure, Trellix used Amazon OpenSearch Service, Amazon OpenSearch Ingestion, and Amazon S3 to modernize their log infrastructure. In this post, we share how, by adopting these AWS solutions, Trellix enhanced their system’s performance, availability, and scalability while reducing operational overhead.]]></description>
		
		
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		<title>How Ancestry optimizes a 100-billion-row Iceberg table</title>
		<link>https://noise.getoto.net/2025/08/28/how-ancestry-optimizes-a-100-billion-row-iceberg-table/</link>
		
		<dc:creator><![CDATA[Thomas Cardenas]]></dc:creator>
		<pubDate>Wed, 27 Aug 2025 23:20:30 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2b5ca7c84b93066175eb814c5b605874</guid>

					<description><![CDATA[This is a guest post by Thomas Cardenas, Staff Software Engineer at Ancestry, in partnership with AWS. Ancestry, the global leader in family history and consumer genomics, uses family trees, historical records, and DNA to help people on their journeys of personal discovery. Ancestry has the largest collection of family history records, consisting of 40 […]]]></description>
		
		
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		<title>How AppZen enhances operational efficiency, scalability, and security with Amazon OpenSearch Serverless</title>
		<link>https://noise.getoto.net/2025/08/26/how-appzen-enhances-operational-efficiency-scalability-and-security-with-amazon-opensearch-serverless/</link>
		
		<dc:creator><![CDATA[Prashanth Dudipala, Madhuri Andhale]]></dc:creator>
		<pubDate>Tue, 26 Aug 2025 18:43:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[serverless]]></category>
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		<guid isPermaLink="false">http://noise.getoto.net/?guid=487830411b03831e6ec081741ea1f931</guid>

					<description><![CDATA[AppZen is a leading provider of AI-driven finance automation solutions. The company’s core offering centers around an innovative AI platform designed for modern finance teams, featuring expense management, fraud detection, and autonomous accounts payable solutions. AppZen’s technology stack uses computer vision, deep learning, and natural language processing (NLP) to automate financial processes and ensure compliance. […]]]></description>
		
		
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		<title>Accelerating legacy code modernization: EPAM’s journey with Amazon Q Developer</title>
		<link>https://noise.getoto.net/2025/08/26/accelerating-legacy-code-modernization-epams-journey-with-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[Venugopalan Vasudevan]]></dc:creator>
		<pubDate>Mon, 25 Aug 2025 22:17:06 +0000</pubDate>
				<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[generative AI]]></category>
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		<guid isPermaLink="false">http://noise.getoto.net/?guid=060b5c8dcdc246565f60869f4408ec34</guid>

					<description><![CDATA[This post is co-written with Nazariy Popov, Volodymyr Konchuk, and Andrii Davydenko from EPAM Legacy code modernization presents significant challenges for organizations looking to stay competitive in today’s rapidly evolving digital landscape. Organizations face the dual challenge of maintaining business continuity while modernizing their legacy systems for cloud environments. This transformation requires organizations to carefully […]]]></description>
		
		
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