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	<title>Ricardo Serafim &#8211; Noise</title>
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		<title>Amazon Redshift Serverless at 4 RPUs: High-value analytics at low cost</title>
		<link>https://noise.getoto.net/2025/08/22/amazon-redshift-serverless-at-4-rpus-high-value-analytics-at-low-cost/</link>
		
		<dc:creator><![CDATA[Ricardo Serafim]]></dc:creator>
		<pubDate>Fri, 22 Aug 2025 20:46:01 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Redshift Serverless]]></category>
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					<description><![CDATA[Amazon Redshift Serverless now supports 4 RPU configurations, helping you get started with a lower base capacity that runs scalable analytics workloads beginning at $1.50 per hour. In this post, we examine how this new sizing option makes Redshift Serverless accessible to smaller organizations while providing enterprises with cost-effective environments for development, testing, and variable workloads.]]></description>
		
		
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		<title>Unlock the power of optimization in Amazon Redshift Serverless</title>
		<link>https://noise.getoto.net/2025/03/10/unlock-the-power-of-optimization-in-amazon-redshift-serverless/</link>
		
		<dc:creator><![CDATA[Ricardo Serafim]]></dc:creator>
		<pubDate>Mon, 10 Mar 2025 20:38:10 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Redshift Serverless]]></category>
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					<description><![CDATA[In this post, we demonstrate how Amazon Redshift Serverless AI-driven scaling and optimization impacts performance and cost across different optimization profiles.]]></description>
		
		
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		<title>Amazon Redshift Serverless adds higher base capacity of up to 1024 RPUs</title>
		<link>https://noise.getoto.net/2025/02/10/amazon-redshift-serverless-adds-higher-base-capacity-of-up-to-1024-rpus/</link>
		
		<dc:creator><![CDATA[Ricardo Serafim]]></dc:creator>
		<pubDate>Mon, 10 Feb 2025 18:40:25 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[In this post, we explore the new higher base capacity of 1024 RPUs in Redshift Serverless, which doubles the previous maximum of 512 RPUs. This enhancement empowers you to get high performance for your workload containing highly complex queries and write-intensive workloads, with concurrent data ingestion and transformation tasks that require high throughput and low latency with Redshift Serverless.]]></description>
		
		
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		<title>Achieve peak performance and boost scalability using multiple Amazon Redshift serverless workgroups and Network Load Balancer</title>
		<link>https://noise.getoto.net/2024/05/09/achieve-peak-performance-and-boost-scalability-using-multiple-amazon-redshift-serverless-workgroups-and-network-load-balancer/</link>
		
		<dc:creator><![CDATA[Ricardo Serafim]]></dc:creator>
		<pubDate>Thu, 09 May 2024 16:11:16 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[As data analytics use cases grow, factors of scalability and concurrency become crucial for businesses. Your analytic solution architecture should be able to handle large data volumes at high concurrency and without compromising speed, thereby delivering a scalable high-performance analytics environment. Amazon Redshift Serverless provides a fully managed, petabyte-scale, auto scaling cloud data warehouse to […]]]></description>
		
		
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