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	<title>Chad Schmutzer &#8211; Noise</title>
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		<title>Optimizing AWS Lambda cost and performance using AWS Compute Optimizer</title>
		<link>https://noise.getoto.net/2020/12/23/optimizing-aws-lambda-cost-and-performance-using-aws-compute-optimizer/</link>
		
		<dc:creator><![CDATA[Chad Schmutzer]]></dc:creator>
		<pubDate>Wed, 23 Dec 2020 21:59:10 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Compute Optimizer]]></category>
		<category><![CDATA[AWS Cost Management]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Cost Management]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[launch]]></category>
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		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[This post is authored by Brooke Chen, Senior Product Manager for AWS Compute Optimizer, Letian Feng, Principal Product Manager for AWS Compute Optimizer, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Optimizing compute resources is a critical component of any application architecture. Over-provisioning compute can lead to unnecessary infrastructure costs, while under-provisioning compute can [&#8230;]]]></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>
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		<category><![CDATA[announcements]]></category>
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		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS Batch]]></category>
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		<category><![CDATA[Best practices]]></category>
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		<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>
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					<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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		<title>Proactively manage the Spot Instance lifecycle using the new Capacity Rebalancing feature for EC2 Auto Scaling</title>
		<link>https://noise.getoto.net/2020/11/05/proactively-manage-the-spot-instance-lifecycle-using-the-new-capacity-rebalancing-feature-for-ec2-auto-scaling/</link>
		
		<dc:creator><![CDATA[Chad Schmutzer]]></dc:creator>
		<pubDate>Wed, 04 Nov 2020 23:51:36 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon EC2 Auto Scaling]]></category>
		<category><![CDATA[Amazon EC2 Spot]]></category>
		<category><![CDATA[Amazon EC2 Spot Instances]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[Compute]]></category>
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					<description><![CDATA[By Deepthi Chelupati and Chad Schmutzer AWS now offers Capacity Rebalancing for Amazon EC2 Auto Scaling, a new feature for proactively managing the Amazon EC2 Spot Instance lifecycle in an Auto Scaling group. Capacity Rebalancing complements the capacity optimized allocation strategy (designed to help find the most optimal spare capacity) and the mixed instances policy [&#8230;]]]></description>
		
		
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