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	<title>Amazon SQS &#8211; Noise</title>
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		<title>How to set up least privilege access to your encrypted Amazon SQS queue</title>
		<link>https://noise.getoto.net/2023/03/03/how-to-set-up-least-privilege-access-to-your-encrypted-amazon-sqs-queue/</link>
		
		<dc:creator><![CDATA[Ahmed Bakry]]></dc:creator>
		<pubDate>Fri, 03 Mar 2023 21:03:42 +0000</pubDate>
				<category><![CDATA[Amazon SQS]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[KMS Policy]]></category>
		<category><![CDATA[Least-privilage IAM policies]]></category>
		<category><![CDATA[Resource-based policies]]></category>
		<category><![CDATA[Security Blog]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[sqs]]></category>
		<category><![CDATA[SQS Access Policy]]></category>
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					<description><![CDATA[Amazon Simple Queue Service (Amazon SQS) is a fully-managed message queueing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Amazon SQS provides authentication mechanisms so that you can control who has access to the queue. It also provides encryption in transit with HTTP over SSL or TLS, and it […]]]></description>
		
		
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		<title>Scaling an ASG using target tracking with a dynamic SQS target</title>
		<link>https://noise.getoto.net/2023/02/10/scaling-an-asg-using-target-tracking-with-a-dynamic-sqs-target/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Fri, 10 Feb 2023 15:35:55 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon SQS]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[Auto Scaling groups]]></category>
		<category><![CDATA[AWS Lambda]]></category>
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					<description><![CDATA[This blog post is written by Wassim Benhallam, Sr Cloud Application Architect AWS WWCO ProServe, and Rajesh Kesaraju, Sr. Specialist Solution Architect, EC2 Flexible Compute. Scaling an Amazon EC2 Auto Scaling group based on Amazon Simple Queue Service (Amazon SQS) is a commonly used design pattern in decoupled applications. For example, an EC2 Auto Scaling […]]]></description>
		
		
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		<title>Adopt Recommendations and Monitor Predictive Scaling for Optimal Compute Capacity</title>
		<link>https://noise.getoto.net/2023/01/25/adopt-recommendations-and-monitor-predictive-scaling-for-optimal-compute-capacity/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Wed, 25 Jan 2023 20:59:21 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EC2 Auto Scaling]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon SQS]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This post is written by Ankur Sethi, Sr. Product Manager, EC2, and Kinnar Sen, Sr. Specialist Solution Architect, AWS Compute. Amazon EC2 Auto Scaling helps customers optimize their Amazon EC2 capacity by dynamically responding to varying demand. Based on customer feedback, we enhanced the scaling experience with the launch of predictive scaling policies. Predictive scaling […]]]></description>
		
		
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		<title>Improved failure recovery for Amazon EventBridge</title>
		<link>https://noise.getoto.net/2020/10/09/improved-failure-recovery-for-amazon-eventbridge/</link>
		
		<dc:creator><![CDATA[Chris Munns]]></dc:creator>
		<pubDate>Thu, 08 Oct 2020 22:06:21 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon SQS]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Today we&#8217;re announcing two new capabilities for Amazon EventBridge &#8211; dead letter queues and custom retry policies. Both of these give you greater flexibility in how to handle any failures in the processing of events with EventBridge. You can easily enable them on a per target basis and configure them uniquely for each. Dead letter [&#8230;]]]></description>
		
		
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		<title>Building storage-first serverless applications with HTTP APIs service integrations</title>
		<link>https://noise.getoto.net/2020/08/25/building-storage-first-serverless-applications-with-http-apis-service-integrations/</link>
		
		<dc:creator><![CDATA[Eric Johnson]]></dc:creator>
		<pubDate>Tue, 25 Aug 2020 18:48:32 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon SQS]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS SAM]]></category>
		<category><![CDATA[AWS Serverless Application Model]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[AWS Systems Manager]]></category>
		<category><![CDATA[http api]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Over the last year, I have been talking about &#8220;storage first&#8221; serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency. By persisting the data before processing, the original data is still available, if or when errors occur. Common pattern for [&#8230;]]]></description>
		
		
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