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	<title>AWS Cost and Usage Report &#8211; Noise</title>
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		<title>How potential performance upside with AWS Graviton helps reduce your costs further</title>
		<link>https://noise.getoto.net/2025/11/24/how-potential-performance-upside-with-aws-graviton-helps-reduce-your-costs-further/</link>
		
		<dc:creator><![CDATA[Markus Adhiwiyogo]]></dc:creator>
		<pubDate>Mon, 24 Nov 2025 19:11:55 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Web Services (AWS) provides many mechanisms to optimize the price performance of workloads running on Amazon Elastic Compute Cloud (Amazon EC2), and the selection of the optimal infrastructure to run on can be one of the most impactful levers. When we started building the AWS Graviton processor, our goal was to optimize AWS Graviton […]]]></description>
		
		
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		<title>Monitor, analyze, and manage capacity usage from a single interface with Amazon EC2 Capacity Manager</title>
		<link>https://noise.getoto.net/2025/10/16/monitor-analyze-and-manage-capacity-usage-from-a-single-interface-with-amazon-ec2-capacity-manager/</link>
		
		<dc:creator><![CDATA[Esra Kayabali]]></dc:creator>
		<pubDate>Thu, 16 Oct 2025 15:48:12 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
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					<description><![CDATA[Amazon EC2 Capacity Manager is a new centralized solution that consolidates capacity monitoring and management across all AWS accounts and regions, eliminating operational overhead and providing optimization opportunities for EC2 infrastructure at scale.]]></description>
		
		
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		<title>Perform per-project cost allocation in Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/07/09/perform-per-project-cost-allocation-in-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[Enrique Salgado Hernández]]></dc:creator>
		<pubDate>Wed, 09 Jul 2025 15:27:45 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[AWS Cost Explorer]]></category>
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					<description><![CDATA[Amazon SageMaker Unified Studio enables per-project cost allocation through resource tagging, allowing organizations to track and manage costs across different projects and domains effectively. This post demonstrates how to implement cost tracking using AWS Billing and Cost Management tools, including Cost Explorer and Data Exports, to help finance and business analysts follow FinOps best practices for controlling cloud infrastructure costs.]]></description>
		
		
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		<title>Check your AWS Free Tier usage programmatically with a new API</title>
		<link>https://noise.getoto.net/2023/11/26/check-your-aws-free-tier-usage-programmatically-with-a-new-api/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Sun, 26 Nov 2023 19:42:34 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Cloud Financial Management]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
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					<description><![CDATA[Starting today, you can check your usage of the AWS Free Tier using the new AWS Free Tier API. You can use the API directly with the AWS Command Line Interface (AWS CLI) or integrate it into an application with the AWS SDKs. The AWS Free Tier program provides you with the ability to explore and […]]]></description>
		
		
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		<title>Managing AWS Lambda runtime upgrades</title>
		<link>https://noise.getoto.net/2023/11/15/managing-aws-lambda-runtime-upgrades/</link>
		
		<dc:creator><![CDATA[Julian Wood]]></dc:creator>
		<pubDate>Wed, 15 Nov 2023 16:14:49 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Config]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Personal Health Dashboard]]></category>
		<category><![CDATA[AWS Trusted Advisor]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[This post is written by Julian Wood, Principal Developer Advocate, and Dan Fox, Principal Specialist Serverless Solutions Architect. AWS Lambda supports multiple programming languages through the use of runtimes. A Lambda runtime provides a language-specific execution environment, which provides the OS, language support, and additional settings, such as environment variables and certificates that you can access from […]]]></description>
		
		
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		<title>Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging</title>
		<link>https://noise.getoto.net/2023/03/27/manage-your-data-warehouse-cost-allocations-with-amazon-redshift-serverless-tagging/</link>
		
		<dc:creator><![CDATA[Sandeep Bajwa]]></dc:creator>
		<pubDate>Mon, 27 Mar 2023 15:36:22 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[AWS Cost Explorer]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) […]]]></description>
		
		
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		<title>How Strategic Blue uses Amazon QuickSight and AWS Cost and Usage Reports to help their customers save millions</title>
		<link>https://noise.getoto.net/2023/02/15/how-strategic-blue-uses-amazon-quicksight-and-aws-cost-and-usage-reports-to-help-their-customers-save-millions/</link>
		
		<dc:creator><![CDATA[Frank Contrepois]]></dc:creator>
		<pubDate>Wed, 15 Feb 2023 19:19:09 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This is a guest post co-written with Frank Contrepois from Strategic Blue. For over 10 years, Strategic Blue has helped organizations unlock the most value from the cloud by enabling their customers to purchase non-standard commitments. By taking a commodity trading approach to purchasing from AWS, Strategic Blue helps customers purchase commitments for varying lengths […]]]></description>
		
		
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		<title>Analyze Amazon S3 storage costs using AWS Cost and Usage Reports, Amazon S3 Inventory, and Amazon Athena</title>
		<link>https://noise.getoto.net/2023/02/02/analyze-amazon-s3-storage-costs-using-aws-cost-and-usage-reports-amazon-s3-inventory-and-amazon-athena/</link>
		
		<dc:creator><![CDATA[Dagar Katyal]]></dc:creator>
		<pubDate>Thu, 02 Feb 2023 21:35:52 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Cloud Financial Management]]></category>
		<category><![CDATA[AWS Cost and Usage Report]]></category>
		<category><![CDATA[Cost and Usage Reports]]></category>
		<category><![CDATA[Cost Management]]></category>
		<category><![CDATA[Financial Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Uncategorized]]></category>
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					<description><![CDATA[Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. As the application portfolio grows, customers tend to store data from multiple application and different business functions […]]]></description>
		
		
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