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	<title>AWS Professional Services &#8211; Noise</title>
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		<title>How SmugMug Increased Data Modeling Productivity with Amazon Q Developer</title>
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		<dc:creator><![CDATA[Will Matos]]></dc:creator>
		<pubDate>Tue, 26 Nov 2024 15:40:38 +0000</pubDate>
				<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
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		<category><![CDATA[AWS Partner Network]]></category>
		<category><![CDATA[AWS Professional Services]]></category>
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		<category><![CDATA[Developer Tools]]></category>
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		<category><![CDATA[Foundational (100)]]></category>
		<category><![CDATA[generative AI]]></category>
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		<category><![CDATA[Media & Entertainment]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]]]></description>
		
		
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		<title>Best practices for managing Terraform State files in AWS CI/CD Pipeline</title>
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		<dc:creator><![CDATA[Arun Kumar Selvaraj]]></dc:creator>
		<pubDate>Mon, 19 Feb 2024 19:50:44 +0000</pubDate>
				<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[Amazon CodeBuild]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS CodeBuild]]></category>
		<category><![CDATA[AWS CodeCommit]]></category>
		<category><![CDATA[AWS Identity and Access Management (IAM)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Professional Services]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[CICD Pipeline]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[IAM]]></category>
		<category><![CDATA[Infrastructure as Code]]></category>
		<category><![CDATA[python]]></category>
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					<description><![CDATA[Introduction Today customers want to reduce manual operations for deploying and maintaining their infrastructure. The recommended method to deploy and manage infrastructure on AWS is to follow Infrastructure-As-Code (IaC) model using tools like AWS CloudFormation, AWS Cloud Development Kit (AWS CDK) or Terraform. One of the critical components in terraform is managing the state file which […]]]></description>
		
		
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		<title>How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline</title>
		<link>https://noise.getoto.net/2023/04/26/how-huron-built-an-amazon-quicksight-asset-catalogue-with-aws-cdk-based-deployment-pipeline/</link>
		
		<dc:creator><![CDATA[Corey Johnson]]></dc:creator>
		<pubDate>Wed, 26 Apr 2023 18:23:04 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS CodeBuild]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Professional Services]]></category>
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					<description><![CDATA[This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. It helps engineers, […]]]></description>
		
		
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		<title>Classifying Millions of Amazon items with Machine Learning, Part I: Event Driven Architecture</title>
		<link>https://noise.getoto.net/2021/08/09/classifying-millions-of-amazon-items-with-machine-learning-part-i-event-driven-architecture/</link>
		
		<dc:creator><![CDATA[Mahmoud Abid]]></dc:creator>
		<pubDate>Mon, 09 Aug 2021 15:43:59 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Professional Services]]></category>
		<category><![CDATA[aws solutions]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Classifying Amazon Items Series]]></category>
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					<description><![CDATA[As part of AWS Professional Services, we work with customers across different industries to understand their needs and supplement their teams with specialized skills and experience. Some of our customers are internal teams from the Amazon retail organization who request our help with their initiatives. One of these teams, the Global Environmental Affairs team, identifies […]]]></description>
		
		
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