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	<title>AWS Batch &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</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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		<item>
		<title>How Karrot built a feature platform on AWS, Part 2: Feature ingestion</title>
		<link>https://noise.getoto.net/2025/08/14/how-karrot-built-a-feature-platform-on-aws-part-2-feature-ingestion/</link>
		
		<dc:creator><![CDATA[Hyeonho Kim]]></dc:creator>
		<pubDate>Thu, 14 Aug 2025 15:16:27 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=60cc1c38a11c49fb014bae602c8b7702</guid>

					<description><![CDATA[This two-part series shows how Karrot developed a new feature platform, which consists of three main components: feature serving, a stream ingestion pipeline, and a batch ingestion pipeline. This post covers the process of collecting features in real-time and batch ingestion into an online store, and the technical approaches for stable operation.]]></description>
		
		
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		<item>
		<title>AWS Weekly Roundup — AWS Chips Taste Test, generative AI updates, Community Days, and more — April 1, 2024</title>
		<link>https://noise.getoto.net/2024/04/01/aws-weekly-roundup-aws-chips-taste-test-generative-ai-updates-community-days-and-more-april-1-2024/</link>
		
		<dc:creator><![CDATA[Channy Yun]]></dc:creator>
		<pubDate>Mon, 01 Apr 2024 17:49:38 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon EC2 Bare Metal]]></category>
		<category><![CDATA[Amazon SageMaker JumpStart]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS CodeBuild]]></category>
		<category><![CDATA[Contact Lens for Amazon Connect]]></category>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=86700e093eb152fc2833d5729ac90583</guid>

					<description><![CDATA[Today is April Fool’s Day. About 10 years ago, some tech companies would joke about an idea that was thought to be fun and unfeasible on April 1st, to the delight of readers. Jeff Barr has also posted seemingly far-fetched ideas on this blog in the past, and some of these have surprisingly come true! […]]]></description>
		
		
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		<item>
		<title>Run large-scale simulations with AWS Batch multi-container jobs</title>
		<link>https://noise.getoto.net/2024/03/25/run-large-scale-simulations-with-aws-batch-multi-container-jobs/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Mon, 25 Mar 2024 19:40:06 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[Containers]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=25293e0278e46852f68b388f25aacac1</guid>

					<description><![CDATA[Industries like automotive, robotics, and finance are increasingly implementing computational workloads like simulations, machine learning (ML) model training, and big data analytics to improve their products. For example, automakers rely on simulations to test autonomous driving features, robotics companies train ML algorithms to enhance robot perception capabilities, and financial firms run in-depth analyses to better […]]]></description>
		
		
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		<item>
		<title>AWS Week in Review – March 27, 2023</title>
		<link>https://noise.getoto.net/2023/03/27/aws-week-in-review-march-27-2023/</link>
		
		<dc:creator><![CDATA[Marcia Villalba]]></dc:creator>
		<pubDate>Mon, 27 Mar 2023 14:04:40 +0000</pubDate>
				<category><![CDATA[Amazon Interactive Video Service]]></category>
		<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Identity and Access Management (IAM)]]></category>
		<category><![CDATA[AWS Serverless Application Model]]></category>
		<category><![CDATA[Elastic Load Balancing]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Podcast]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0362054e5c9e3cda88dabada47e8e236</guid>

					<description><![CDATA[This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! In Finland, where I live, spring has arrived. The snow has melted, and the trees have grown their first buds. But I don’t get my hopes high, as usually around […]]]></description>
		
		
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		<item>
		<title>Genomics workflows, Part 5: automated benchmarking</title>
		<link>https://noise.getoto.net/2023/03/24/genomics-workflows-part-5-automated-benchmarking/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Fri, 24 Mar 2023 16:59:30 +0000</pubDate>
				<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon FSx for Lustre]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=520a2cca0339da04d0d19c46450e8133</guid>

					<description><![CDATA[Launching and running genomics workflows can take hours and involves large pools of compute instances that process data at a petabyte scale. Benchmarking helps you evaluate workflow performance and discover faster and cheaper ways of running them. In practice, performance evaluations happen irregularly because of the associated heavy lifting. In this blog post, we discuss […]]]></description>
		
		
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		<item>
		<title>Genomics workflows, Part 3: automated workflow manager</title>
		<link>https://noise.getoto.net/2022/12/21/genomics-workflows-part-3-automated-workflow-manager/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Wed, 21 Dec 2022 14:27:25 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=20056909f754d3b40132f3bcd8e6e79c</guid>

					<description><![CDATA[Genomics workflows are high-performance computing workloads. Life-science research teams make use of various genomics workflows. With each invocation, they specify custom sets of data and processing steps, and translate them into commands. Furthermore, team members stay to monitor progress and troubleshoot errors, which can be cumbersome, non-differentiated, administrative work. In Part 3 of this series, […]]]></description>
		
		
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		<item>
		<title>Automated launch of genomics workflows</title>
		<link>https://noise.getoto.net/2022/11/16/automated-launch-of-genomics-workflows/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Wed, 16 Nov 2022 15:13:50 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Container Registry]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c3ea8ab3d6a97b9adf1583dbe649868a</guid>

					<description><![CDATA[Genomics workflows are high-performance computing workloads. Traditionally, they run on-premises with a collection of scripts. Scientists run and manage these workflows manually, which slows down the product development lifecycle. Scientists spend time to administer workflows and handle errors on a day-to-day basis. They also lack sufficient compute capacity on-premises. In this blog post, we demonstrate […]]]></description>
		
		
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		<item>
		<title>AWS Batch for Amazon Elastic Kubernetes Service</title>
		<link>https://noise.getoto.net/2022/10/25/aws-batch-for-amazon-elastic-kubernetes-service/</link>
		
		<dc:creator><![CDATA[Steve Roberts]]></dc:creator>
		<pubDate>Tue, 25 Oct 2022 13:31:57 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e4936edaabe5c18a12d5f2af9dd317e7</guid>

					<description><![CDATA[Today I’m pleased to announce AWS Batch for Amazon Elastic Kubernetes Service (Amazon EKS). AWS Batch for Amazon EKS is ideal for customers who no longer want to shoulder the burden of configuring, fine-tuning, and managing Kubernetes clusters and pods to use with their batch processing workflows. Furthermore, there is no charge for this service. […]]]></description>
		
		
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		<item>
		<title>Deploying Local Gateway Ingress Routing on AWS Outposts</title>
		<link>https://noise.getoto.net/2022/09/15/deploying-local-gateway-ingress-routing-on-aws-outposts/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Thu, 15 Sep 2022 20:43:24 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon VPC]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Outposts]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=07aba43081a0ce8fbee405f6fae75246</guid>

					<description><![CDATA[This post is written by Leonardo Solano, Senior Hybrid Cloud Solution Architect and Chris Lunsford, Senior Specialist Solutions Architect, AWS Outposts. AWS Outposts lets customers use the same Amazon Virtual Private Cloud (VPC) security mechanisms, such as security groups and network access control lists, to control traffic flows for on-premises applications running on Outposts. Some […]]]></description>
		
		
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		<item>
		<title>Develop an Amazon Redshift ETL serverless framework using RSQL, AWS Batch, and AWS Step Functions</title>
		<link>https://noise.getoto.net/2022/08/02/develop-an-amazon-redshift-etl-serverless-framework-using-rsql-aws-batch-and-aws-step-functions/</link>
		
		<dc:creator><![CDATA[Lukasz Budnik]]></dc:creator>
		<pubDate>Tue, 02 Aug 2022 15:34:13 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f4cd44b83c922d194b992a2db5f8a38f</guid>

					<description><![CDATA[Amazon Redshift RSQL is a command-line client for interacting with Amazon Redshift clusters and databases. You can connect to an Amazon Redshift cluster, describe database objects, query data, and view query results in various output formats. You can use enhanced control flow commands to replace existing extract, transform, load (ETL) and automation scripts. This post […]]]></description>
		
		
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		<item>
		<title>Orchestrating high performance computing with AWS Step Functions and AWS Batch</title>
		<link>https://noise.getoto.net/2022/04/12/orchestrating-high-performance-computing-with-aws-step-functions-and-aws-batch/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Tue, 12 Apr 2022 16:53:18 +0000</pubDate>
				<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[contributed]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6cecb18f69f89adf35a4591d9ea7b3ff</guid>

					<description><![CDATA[This blog post describes several challenges common to orchestrating HPC workloads. I describe how Step Functions with AWS Batch can solve many of these challenges. I provide a project that contains several sample patterns and show how to deploy and test this in your account.]]></description>
		
		
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		<title>Managing and Securing AWS Outposts Instances using AWS Systems Manager, Amazon Inspector, and Amazon GuardDuty</title>
		<link>https://noise.getoto.net/2022/03/22/managing-and-securing-aws-outposts-instances-using-aws-systems-manager-amazon-inspector-and-amazon-guardduty/</link>
		
		<dc:creator><![CDATA[sbbusser]]></dc:creator>
		<pubDate>Tue, 22 Mar 2022 20:40:38 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Outposts]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=51859a54993b2b773d3d2c0e678ba1c7</guid>

					<description><![CDATA[This post is written by Sumeeth Siriyur, Specialist Solutions Architect. AWS Outposts is a family of fully managed solutions that deliver AWS infrastructure and services to virtually any on-premises or edge location for a truly consistent hybrid experience. Outposts is ideal for workloads that need low latency access to on-premises applications or systems, local data […]]]></description>
		
		
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		<title>How to Run Massively Scalable ADAS Simulation Workloads on CAEdge</title>
		<link>https://noise.getoto.net/2022/02/10/how-to-run-massively-scalable-adas-simulation-workloads-on-caedge/</link>
		
		<dc:creator><![CDATA[Hendrik Schoeneberg]]></dc:creator>
		<pubDate>Thu, 10 Feb 2022 05:27:16 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Container Registry]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9add73fc1b9895a7fb52e1112053f9ae</guid>

					<description><![CDATA[This post was co-written by Hendrik Schoeneberg, Sr. Global Big Data Architect, The An Binh Nguyen, Product Owner for Cloud Simulation at Continental, Autonomous Mobility – Engineering Platform, Rumeshkrishnan Mohan, Global Big Data Architect, and Junjie Tang, Principal Consultant at AWS Professional Services. AV/ADAS simulations processing large-scale field sensor data such as radar, lidar, and […]]]></description>
		
		
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		<title>Build a modern data architecture on AWS with Amazon AppFlow, AWS Lake Formation, and Amazon Redshift: Part 2</title>
		<link>https://noise.getoto.net/2022/02/02/build-a-modern-data-architecture-on-aws-with-amazon-appflow-aws-lake-formation-and-amazon-redshift-part-2/</link>
		
		<dc:creator><![CDATA[Dr. Yannick Misteli]]></dc:creator>
		<pubDate>Wed, 02 Feb 2022 18:28:43 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f551ca5e7aaa485321ea5f0e6315256c</guid>

					<description><![CDATA[In Part 1 of this post, we provided a solution to build the sourcing, orchestration, and transformation of data from multiple source systems, including Salesforce, SAP, and Oracle, into a managed modern data platform. Roche partnered with AWS Professional Services to build out this fully automated and scalable platform to provide the foundation for their […]]]></description>
		
		
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		<title>Monitoring delay of AWS Batch jobs in transit before execution</title>
		<link>https://noise.getoto.net/2021/11/15/monitoring-delay-of-aws-batch-jobs-in-transit-before-execution/</link>
		
		<dc:creator><![CDATA[Emma White]]></dc:creator>
		<pubDate>Mon, 15 Nov 2021 18:33:35 +0000</pubDate>
				<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[Batch jobs runnable]]></category>
		<category><![CDATA[Compute]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=157b6756de06c41db9a69cd7832772db</guid>

					<description><![CDATA[This post is written by Nikhil Anand, Solutions Architect  AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch processing jobs on AWS. With AWS Batch you no longer have to install and manage batch computing software or server clusters used to run your jobs. This lets you […]]]></description>
		
		
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		<title>Deep learning image vector embeddings at scale using AWS Batch and CDK</title>
		<link>https://noise.getoto.net/2021/11/06/deep-learning-image-vector-embeddings-at-scale-using-aws-batch-and-cdk/</link>
		
		<dc:creator><![CDATA[Filip Saina]]></dc:creator>
		<pubDate>Sat, 06 Nov 2021 03:20:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Cloud Development Kit]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[devops]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9e1e163e8c13c67e89dd5696970f2f00</guid>

					<description><![CDATA[Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single machine, but also isn’t large enough to justify running a large and potentially […]]]></description>
		
		
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		<title>Visualizing AWS Step Functions workflows from the AWS Batch console</title>
		<link>https://noise.getoto.net/2021/10/14/visualizing-aws-step-functions-workflows-from-the-aws-batch-console/</link>
		
		<dc:creator><![CDATA[Eric Johnson]]></dc:creator>
		<pubDate>Thu, 14 Oct 2021 18:52:16 +0000</pubDate>
				<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[contributed]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=86e0ae4ff0a48236f67de4e0d70ee733</guid>

					<description><![CDATA[This post written by Dhiraj Mahapatro, Senior Specialist SA, Serverless. AWS Step Functions is a low-code visual workflow service used to orchestrate AWS services, automate business processes, and build serverless applications. Step Functions workflows manage failures, retries, parallelization, service integrations, and observability so builders can focus on business logic. AWS Batch is one of the […]]]></description>
		
		
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		<title>How to authenticate private container registries using AWS Batch</title>
		<link>https://noise.getoto.net/2021/08/21/how-to-authenticate-private-container-registries-using-aws-batch/</link>
		
		<dc:creator><![CDATA[Ben Peven]]></dc:creator>
		<pubDate>Fri, 20 Aug 2021 21:51:17 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon EC2 Container Registry]]></category>
		<category><![CDATA[Amazon ECS]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[Containers]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=af92863ab7e36d0042d29806dee51163</guid>

					<description><![CDATA[This post was contributed by Clayton Thomas, Solutions Architect, AWS WW Public Sector SLG Govtech. Many AWS Batch users choose to store and consume their AWS Batch job container images on AWS using Amazon Elastic Container Registries (ECR). AWS Batch and Amazon Elastic Container Service (ECS) natively support pulling from Amazon ECR without any extra […]]]></description>
		
		
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		<title>Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark</title>
		<link>https://noise.getoto.net/2020/12/12/introducing-spot-blueprints-a-template-generator-for-frameworks-like-kubernetes-and-apache-spark/</link>
		
		<dc:creator><![CDATA[Chad Schmutzer]]></dc:creator>
		<pubDate>Fri, 11 Dec 2020 23:50:13 +0000</pubDate>
				<category><![CDATA[Amazon EC2 Auto Scaling]]></category>
		<category><![CDATA[Amazon EC2 Spot]]></category>
		<category><![CDATA[Amazon EC2 Spot Instances]]></category>
		<category><![CDATA[Amazon Elastic Container Service for Kubernetes]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Cost Management]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Billing & Account Management]]></category>
		<category><![CDATA[CloudFormation]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Containers]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Hashicorp Terraform]]></category>
		<category><![CDATA[Infrastructure & Automation]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4d0a58b2cca42a09b82acf71456ddce8</guid>

					<description><![CDATA[This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute [&#8230;]]]></description>
		
		
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