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	<title>Optimization &#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>Efficient satellite imagery supply with AWS Serverless at BASF Digital Farming GmbH</title>
		<link>https://noise.getoto.net/2024/12/06/efficient-satellite-imagery-supply-with-aws-serverless-at-basf-digital-farming-gmbh/</link>
		
		<dc:creator><![CDATA[Kevin S. Ridolfi]]></dc:creator>
		<pubDate>Fri, 06 Dec 2024 16:31:05 +0000</pubDate>
				<category><![CDATA[agriculture]]></category>
		<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Uncategorized]]></category>
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					<description><![CDATA[This post was co-written with Dr. Jan Melchior at BASF Digital Farming GmbH and xarvio Digital Farming Solutions. BASF Digital Farming’s mission is to support farmers worldwide with cutting-edge digital agronomic decision advice by using its main crop optimization platform, xarvio FIELD MANAGER. This necessitates providing the most recent satellite imagery available as quickly as […]]]></description>
		
		
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		<item>
		<title>Infor’s Amazon OpenSearch Service Modernization: 94% faster searches and 50% lower costs</title>
		<link>https://noise.getoto.net/2024/10/22/infors-amazon-opensearch-service-modernization-94-faster-searches-and-50-lower-costs/</link>
		
		<dc:creator><![CDATA[Allan Pienaar]]></dc:creator>
		<pubDate>Tue, 22 Oct 2024 19:02:54 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we'll explore Infor's journey to modernize its search capabilities, the key benefits they achieved, and the technologies that powered this transformation. We'll also discuss how Infor's customers are now able to more effectively search through business messages, documents, and other critical data within the ION OneView platform.]]></description>
		
		
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		<title>Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics</title>
		<link>https://noise.getoto.net/2024/10/01/accelerate-amazon-redshift-data-lake-queries-with-aws-glue-data-catalog-column-statistics/</link>
		
		<dc:creator><![CDATA[Kalaiselvi Kamaraj]]></dc:creator>
		<pubDate>Tue, 01 Oct 2024 20:45:00 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift Spectrum]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Performance]]></category>
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					<description><![CDATA[Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. In this post, we highlight the performance improvements we observed using industry standard TPC-DS benchmarks. Overall execution time of TPC-DS 3 TB benchmark improved by 3x. Some of the queries in our benchmark experienced up to 12x speed up.]]></description>
		
		
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		<title>Making WAF ML models go brrr: saving decades of processing time</title>
		<link>https://noise.getoto.net/2024/07/25/making-waf-ml-models-go-brrr-saving-decades-of-processing-time/</link>
		
		<dc:creator><![CDATA[Alex Bocharov]]></dc:creator>
		<pubDate>Thu, 25 Jul 2024 13:00:46 +0000</pubDate>
				<category><![CDATA[AI WAF]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[Rust]]></category>
		<category><![CDATA[waf]]></category>
		<category><![CDATA[WAF Attack Score]]></category>
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					<description><![CDATA[In this post, we discuss the performance optimizations we've implemented for our WAF ML product. We'll guide you through specific code examples and benchmark numbers, and we'll share the impressive latency reduction numbers observed after the rollout]]></description>
		
		
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		<title>Detect and handle data skew on AWS Glue</title>
		<link>https://noise.getoto.net/2024/05/01/detect-and-handle-data-skew-on-aws-glue/</link>
		
		<dc:creator><![CDATA[Salim Tutuncu]]></dc:creator>
		<pubDate>Wed, 01 May 2024 16:27:24 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell, Spark, or Ray). Data skew occurs when the data being processed is not evenly distributed across the Spark cluster, […]]]></description>
		
		
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		<item>
		<title>A multi-dimensional approach helps you proactively prepare for failures, Part 2: Infrastructure layer</title>
		<link>https://noise.getoto.net/2022/08/26/a-multi-dimensional-approach-helps-you-proactively-prepare-for-failures-part-2-infrastructure-layer/</link>
		
		<dc:creator><![CDATA[Piyali Kamra]]></dc:creator>
		<pubDate>Fri, 26 Aug 2022 14:08:07 +0000</pubDate>
				<category><![CDATA[Amazon Route 53]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Direct Connect]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Optimization]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4f3f2a29300f4eaa71ba7a1ac2af8c3d</guid>

					<description><![CDATA[Distributed applications resiliency is a cumulative resiliency of applications, infrastructure, and operational processes. Part 1 of this series explored application layer resiliency. In Part 2, we discuss how using Amazon Web Services (AWS) managed services, redundancy, high availability, and infrastructure failover patterns based on recovery time and point objectives (RTO and RPO, respectively) can help in […]]]></description>
		
		
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		<item>
		<title>From centralized architecture to decentralized architecture: How data sharing fine-tunes Amazon Redshift workloads</title>
		<link>https://noise.getoto.net/2022/08/16/from-centralized-architecture-to-decentralized-architecture-how-data-sharing-fine-tunes-amazon-redshift-workloads/</link>
		
		<dc:creator><![CDATA[Jingbin Ma]]></dc:creator>
		<pubDate>Tue, 16 Aug 2022 17:53:16 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift data sharing]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Optimization]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Today, Amazon Redshift has become the most widely used cloud data warehouse. With the significant […]]]></description>
		
		
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		<item>
		<title>Optimizing TCP for high WAN throughput while preserving low latency</title>
		<link>https://noise.getoto.net/2022/07/01/optimizing-tcp-for-high-wan-throughput-while-preserving-low-latency/</link>
		
		<dc:creator><![CDATA[Mike Freemon]]></dc:creator>
		<pubDate>Fri, 01 Jul 2022 13:00:01 +0000</pubDate>
				<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Latency]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[TCP]]></category>
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					<description><![CDATA[In this post, we describe how we modified the Linux kernel to optimize for both low latency and high throughput concurrently]]></description>
		
		
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		<item>
		<title>Optimizing data warehouse storage</title>
		<link>https://noise.getoto.net/2020/12/21/optimizing-data-warehouse-storage/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 21 Dec 2020 16:15:10 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[big-data-infrastructure]]></category>
		<category><![CDATA[data-infrastructure]]></category>
		<category><![CDATA[data-platforms]]></category>
		<category><![CDATA[Optimization]]></category>
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					<description><![CDATA[By Anupom SyamBackgroundAt Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3, and each day we ingest and create additional Petabytes. At this scale, we can gain a significant amount of performance and cost bene...]]></description>
		
		
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		<title>Computing Euclidean distance on 144 dimensions</title>
		<link>https://noise.getoto.net/2020/12/18/computing-euclidean-distance-on-144-dimensions/</link>
		
		<dc:creator><![CDATA[Marek Majkowski]]></dc:creator>
		<pubDate>Fri, 18 Dec 2020 12:00:00 +0000</pubDate>
				<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[Speed]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cc89730b38e71d54b5657db93cf33382</guid>

					<description><![CDATA[Last year we deployed a CSAM image scanning tool. This is so cool! Image processing is always hard, and deploying a real image identification system at a Cloudflare scale is no small achievement! But we hit a problem - the matching algorithm was too slow for our needs.]]></description>
		
		
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		<title>My internship: Brotli compression using a reduced dictionary</title>
		<link>https://noise.getoto.net/2020/11/11/my-internship-brotli-compression-using-a-reduced-dictionary/</link>
		
		<dc:creator><![CDATA[Felix Hanau]]></dc:creator>
		<pubDate>Wed, 11 Nov 2020 16:32:39 +0000</pubDate>
				<category><![CDATA[Careers]]></category>
		<category><![CDATA[compression]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Speed & Reliability]]></category>
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					<description><![CDATA[Using the brotli dictionary to improve compression of web content without sacrificing performance.]]></description>
		
		
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		<item>
		<title>Introducing support for the AVIF image format</title>
		<link>https://noise.getoto.net/2020/10/03/introducing-support-for-the-avif-image-format/</link>
		
		<dc:creator><![CDATA[Kornel Lesiński]]></dc:creator>
		<pubDate>Sat, 03 Oct 2020 13:00:00 +0000</pubDate>
				<category><![CDATA[Image Resizing]]></category>
		<category><![CDATA[Optimization]]></category>
		<category><![CDATA[Product News]]></category>
		<category><![CDATA[Speed & Reliability]]></category>
		<category><![CDATA[WebP]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d8324252969483975641afb0a97924be</guid>

					<description><![CDATA[We're adding support for the new AVIF image format. It compresses images significantly better than older-generation formats such as WebP and JPEG.]]></description>
		
		
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