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	<title>*Learning Levels &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Mon, 24 Nov 2025 19:11:55 +0000</lastBuildDate>
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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>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></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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		<item>
		<title>Unlock the power of Apache Iceberg v3 deletion vectors on Amazon EMR</title>
		<link>https://noise.getoto.net/2025/09/17/unlock-the-power-of-apache-iceberg-v3-deletion-vectors-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Arun Shanmugam]]></dc:creator>
		<pubDate>Wed, 17 Sep 2025 19:26:40 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c1f463952c733693d8a98668982d95b9</guid>

					<description><![CDATA[As modern data architectures expand, Apache Iceberg has become a widely popular open table format, providing ACID transactions, time travel, and schema evolution. In table format v2, Iceberg introduced merge-on-read, improving delete and update handling through positional delete files. These files improve write performance but can slow down reads when not compacted, since Iceberg must […]]]></description>
		
		
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			</item>
		<item>
		<title>How Stellantis streamlines floating license management with serverless orchestration on AWS</title>
		<link>https://noise.getoto.net/2025/06/12/how-stellantis-streamlines-floating-license-management-with-serverless-orchestration-on-aws/</link>
		
		<dc:creator><![CDATA[Göksel SARIKAYA]]></dc:creator>
		<pubDate>Thu, 12 Jun 2025 12:16:54 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[AWS Serverless]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=284913d3c040e75ec47221515362247d</guid>

					<description><![CDATA[In this post, we explore a unique scenario where an ISV, unable to provide a floating license option for cloud usage, worked with Stellantis to develop an alternative solution. This approach, implemented with the ISV’s permission, treats named user licenses as if they were floating, automatically assigning and removing them based on the state of user workbench instances.]]></description>
		
		
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			</item>
		<item>
		<title>Configure cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark</title>
		<link>https://noise.getoto.net/2025/05/09/configure-cross-account-access-of-amazon-sagemaker-lakehouse-multi-catalog-tables-using-aws-glue-5-0-spark/</link>
		
		<dc:creator><![CDATA[Aarthi Srinivasan]]></dc:creator>
		<pubDate>Fri, 09 May 2025 17:18:44 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show you how to share an Amazon Redshift table and Amazon S3 based Iceberg table from the account that owns the data to another account that consumes the data. In the recipient account, we run a join query on the shared data lake and data warehouse tables using Spark in AWS Glue 5.0. We walk you through the complete cross-account setup and provide the Spark configuration in a Python notebook.]]></description>
		
		
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		<item>
		<title>Validate Your Lambda Runtime with CloudFormation Lambda Hooks</title>
		<link>https://noise.getoto.net/2025/04/02/validate-your-lambda-runtime-with-cloudformation-lambda-hooks/</link>
		
		<dc:creator><![CDATA[Matteo Luigi Restelli]]></dc:creator>
		<pubDate>Wed, 02 Apr 2025 18:28:18 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Configuration, compliance, and auditing]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[Infrastructure as Code]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Management & Governance]]></category>
		<category><![CDATA[Management Tools]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3f9a75e882eb93582918c4acd5550274</guid>

					<description><![CDATA[Introduction This post demonstrates how to leverage AWS CloudFormation Lambda Hooks to enforce compliance rules at provisioning time, enabling you to evaluate and validate Lambda function configurations against custom policies before deployment. Often these policies impact the way a software should be built, restricting language versions and runtimes. A great example is applying those policies […]]]></description>
		
		
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		<item>
		<title>Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud</title>
		<link>https://noise.getoto.net/2024/11/27/unlocking-near-real-time-analytics-with-petabytes-of-transaction-data-using-amazon-aurora-zero-etl-integration-with-amazon-redshift-and-dbt-cloud/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Wed, 27 Nov 2024 20:20:41 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0169c4eb8a74bfc47310b4f6447aeab0</guid>

					<description><![CDATA[In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics. By using dbt Cloud for data transformation, data teams can focus on writing business rules to drive insights from their transaction data to respond effectively to critical, time sensitive events.]]></description>
		
		
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		<item>
		<title>Proactively validate your AWS CloudFormation templates with AWS Lambda</title>
		<link>https://noise.getoto.net/2024/11/20/proactively-validate-your-aws-cloudformation-templates-with-aws-lambda/</link>
		
		<dc:creator><![CDATA[Kirankumar Chandrashekar]]></dc:creator>
		<pubDate>Wed, 20 Nov 2024 17:17:32 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Configuration, compliance, and auditing]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[Infrastructure as Code]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Management & Governance]]></category>
		<category><![CDATA[Management Tools]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=652109cac253c0dc804ddc249eebeb1c</guid>

					<description><![CDATA[AWS CloudFormation is a service that allows you to define, manage, and provision your AWS cloud infrastructure using code. To enhance this process and ensure your infrastructure meets your organization’s standards, AWS offers CloudFormation Hooks. These Hooks are extension points that allow you to invoke custom logic at specific points during CloudFormation stack operations, enabling […]]]></description>
		
		
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		<item>
		<title>Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer</title>
		<link>https://noise.getoto.net/2024/10/30/modernize-your-legacy-databases-with-aws-data-lakes-part-3-build-a-data-lake-processing-layer/</link>
		
		<dc:creator><![CDATA[Anoop Kumar K M]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:15:37 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f43740f5f367051e87fec201b305dfae</guid>

					<description><![CDATA[This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer.]]></description>
		
		
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		<item>
		<title>Simplify your query performance diagnostics in Amazon Redshift with Query profiler</title>
		<link>https://noise.getoto.net/2024/10/23/simplify-your-query-performance-diagnostics-in-amazon-redshift-with-query-profiler/</link>
		
		<dc:creator><![CDATA[Raks Khare]]></dc:creator>
		<pubDate>Wed, 23 Oct 2024 20:42:47 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e0ff8469a4b3bdf0688dd536b556382c</guid>

					<description><![CDATA[Amazon Redshift has introduced a new feature called the Query profiler. The Query profiler is a graphical tool that helps users analyze the components and performance of a query. This feature is part of the Amazon Redshift console and provides a visual and graphical representation of the query's run order, execution plan, and various statistics. The Query profiler makes it easier for users to understand and troubleshoot their queries. In this post, we cover two common use cases for troubleshooting query performance. We show you step-by-step how to analyze and troubleshoot long-running queries using the Query profiler.]]></description>
		
		
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		<item>
		<title>Instant Well-Architected CDK Resources with Solutions Constructs Factories</title>
		<link>https://noise.getoto.net/2024/10/16/instant-well-architected-cdk-resources-with-solutions-constructs-factories/</link>
		
		<dc:creator><![CDATA[Biff Gaut]]></dc:creator>
		<pubDate>Wed, 16 Oct 2024 11:41:36 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[AWS CDK]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Solutions Constructs]]></category>
		<category><![CDATA[Management Tools]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=81532a3c22869379515da4f34e9d8e35</guid>

					<description><![CDATA[For several years, AWS Solutions Constructs have helped thousands of AWS Cloud Development Kit (CDK) users accelerate their creation of well-architected workloads by providing small, composable patterns linking two or more AWS services, such as an Amazon S3 bucket triggering an AWS Lambda function. Over this time, customers with use cases that don’t match an […]]]></description>
		
		
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		<item>
		<title>Exploring Telemetry Events in Amazon Q Developer</title>
		<link>https://noise.getoto.net/2024/09/30/exploring-telemetry-events-in-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[David Ernst]]></dc:creator>
		<pubDate>Mon, 30 Sep 2024 19:58:09 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon CodeWhisperer]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[monitoring]]></category>
		<category><![CDATA[Monitoring and observability]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3ed49e5174aa71b9316d515224624922</guid>

					<description><![CDATA[As organizations increasingly adopt Amazon Q Developer, understanding how developers use it is essential. Diving into specific telemetry events and user-level data clarifies how users interact with Amazon Q Developer, offering insights into feature usage and developer behaviors. This granular view, accessible through logs, is vital for identifying trends, optimizing performance, and enhancing the overall […]]]></description>
		
		
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		<title>Differentiate generative AI applications with your data using AWS analytics and managed databases</title>
		<link>https://noise.getoto.net/2024/09/12/differentiate-generative-ai-applications-with-your-data-using-aws-analytics-and-managed-databases/</link>
		
		<dc:creator><![CDATA[Diego Colombatto]]></dc:creator>
		<pubDate>Thu, 12 Sep 2024 16:57:31 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f7a4a4e6018231413f55f9f686f931c3</guid>

					<description><![CDATA[While the potential of generative artificial intelligence (AI) is increasingly under evaluation, organizations are at different stages in defining their generative AI vision. In many organizations, the focus is on large language models (LLMs), and foundation models (FMs) more broadly. This is just the tip of the iceberg, because what enables you to obtain differential […]]]></description>
		
		
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		<title>Amazon Redshift data ingestion options</title>
		<link>https://noise.getoto.net/2024/09/05/amazon-redshift-data-ingestion-options/</link>
		
		<dc:creator><![CDATA[Steve Phillips]]></dc:creator>
		<pubDate>Thu, 05 Sep 2024 20:12:09 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Foundational (100)]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3beabc1803d967e0014b8756a27ce3cd</guid>

					<description><![CDATA[Amazon Redshift, a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Whether your data resides in operational databases, data lakes, on-premises systems, Amazon Elastic Compute Cloud (Amazon EC2), or other AWS services, Amazon Redshift provides multiple ingestion methods to meet your specific needs. The currently […]]]></description>
		
		
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		<title>Quickly go from Idea to PR with CodeCatalyst using Amazon Q</title>
		<link>https://noise.getoto.net/2024/04/19/quickly-go-from-idea-to-pr-with-codecatalyst-using-amazon-q/</link>
		
		<dc:creator><![CDATA[Brendan Jenkins]]></dc:creator>
		<pubDate>Fri, 19 Apr 2024 18:51:41 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon CodeCatalyst]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Business Productivity]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=150d08b46442b7668b47aa3750248afc</guid>

					<description><![CDATA[Amazon Q feature development enables teams using Amazon CodeCatalyst to scale with AI to assist developers in completing everyday software development tasks. Developers can now go from an idea in an issue to a fully tested, merge-ready, running application code in a Pull Request (PR) with natural language inputs in a few clicks. Developers can […]]]></description>
		
		
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		<item>
		<title>Getting started with Projen and AWS CDK</title>
		<link>https://noise.getoto.net/2023/12/15/getting-started-with-projen-and-aws-cdk/</link>
		
		<dc:creator><![CDATA[Michael Tran]]></dc:creator>
		<pubDate>Fri, 15 Dec 2023 16:48:01 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[AWS CDK]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[CDK]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[iac]]></category>
		<category><![CDATA[Infrastructure as Code]]></category>
		<category><![CDATA[node.js]]></category>
		<category><![CDATA[Programing Language]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=77859a7698290064ea62f7cd0e059c0e</guid>

					<description><![CDATA[In the modern world of cloud computing, Infrastructure as Code (IaC) has become a vital practice for deploying and managing cloud resources. AWS Cloud Development Kit (AWS CDK) is a popular open-source framework that allows developers to define cloud resources using familiar programming languages. A related open source tool called Projen is a powerful project […]]]></description>
		
		
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		<title>Blue/Green Deployments with Amazon ECS using Amazon CodeCatalyst</title>
		<link>https://noise.getoto.net/2023/12/11/blue-green-deployments-with-amazon-ecs-using-amazon-codecatalyst/</link>
		
		<dc:creator><![CDATA[Hareesh Iyer]]></dc:creator>
		<pubDate>Mon, 11 Dec 2023 15:50:46 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon CodeCatalyst]]></category>
		<category><![CDATA[Amazon ECS]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9e576e92bef0a437c2cddbf48d99a438</guid>

					<description><![CDATA[Amazon CodeCatalyst is a modern software development service that empowers teams to deliver software on AWS easily and quickly. Amazon CodeCatalyst provides one place where you can plan, code, and build, test, and deploy your container applications with continuous integration/continuous delivery (CI/CD) tools. In this post, we will walk-through how you can configure Blue/Green and […]]]></description>
		
		
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		<title>Enable cross-account sharing with direct IAM principals using AWS Lake Formation Tags</title>
		<link>https://noise.getoto.net/2023/01/18/enable-cross-account-sharing-with-direct-iam-principals-using-aws-lake-formation-tags/</link>
		
		<dc:creator><![CDATA[Aarthi Srinivasan]]></dc:creator>
		<pubDate>Tue, 17 Jan 2023 23:07:13 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1d2b94a9396bd026fd2941e96e7b3446</guid>

					<description><![CDATA[With AWS Lake Formation, you can build data lakes with multiple AWS accounts in a variety of ways. For example, you could build a data mesh, implementing a centralized data governance model and decoupling data producers from the central governance. Such data lakes enable the data as an asset paradigm and unleash new possibilities with […]]]></description>
		
		
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		<title>Build a serverless streaming pipeline with Amazon MSK Serverless, Amazon MSK Connect, and MongoDB Atlas</title>
		<link>https://noise.getoto.net/2023/01/17/build-a-serverless-streaming-pipeline-with-amazon-msk-serverless-amazon-msk-connect-and-mongodb-atlas/</link>
		
		<dc:creator><![CDATA[Igor Alekseev]]></dc:creator>
		<pubDate>Tue, 17 Jan 2023 20:31:57 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ad3c66e8f163515907765b25628e0c2e</guid>

					<description><![CDATA[This post was cowritten with Babu Srinivasan and Robert Walters from MongoDB. Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available Apache Kafka service. Amazon MSK makes it easy to ingest and process streaming data in real time and use that data easily within the AWS ecosystem. With Amazon MSK […]]]></description>
		
		
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		<title>Scaling AWS Outposts rack deployments with ACE racks</title>
		<link>https://noise.getoto.net/2022/12/13/scaling-aws-outposts-rack-deployments-with-ace-racks/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Tue, 13 Dec 2022 21:36:05 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[ACE Rack]]></category>
		<category><![CDATA[AWS Outposts]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Sizing]]></category>
		<category><![CDATA[Slotting]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8439894a7927e8157d8f8e4455010c9c</guid>

					<description><![CDATA[This blog post is written by Eric Vasquez, Specialist Hybrid Edge Solutions Architect, and Paul Scherer, Senior Network Service Tech. Overview AWS Outposts brings managed, monitored AWS infrastructure, compute, and storage to your on-premises environment. It provides the same AWS APIs, and console experience you would get within the AWS Region to which the Outpost […]]]></description>
		
		
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			</item>
		<item>
		<title>Simplifying Amazon EC2 instance type flexibility with new attribute-based instance type selection features</title>
		<link>https://noise.getoto.net/2022/11/09/simplifying-amazon-ec2-instance-type-flexibility-with-new-attribute-based-instance-type-selection-features/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Wed, 09 Nov 2022 17:16:44 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon EC2 Auto Scaling]]></category>
		<category><![CDATA[Amazon EKS]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS Graviton]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[cost optimization]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[EC2]]></category>
		<category><![CDATA[EC2 Fleet API]]></category>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=02668e60803f809e814df0dc1352e7ec</guid>

					<description><![CDATA[This blog is written by Rajesh Kesaraju, Sr. Solution Architect, EC2-Flexible Compute and Peter Manastyrny, Sr. Product Manager, EC2. Today AWS is adding two new attributes for the attribute-based instance type selection (ABS) feature to make it even easier to create and manage instance type flexible configurations on Amazon EC2. The new network bandwidth attribute […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

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