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	<title>Kaituo Li &#8211; Noise</title>
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		<title>Detect anomalies on one million unique entities with Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2022/02/16/detect-anomalies-on-one-million-unique-entities-with-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Kaituo Li]]></dc:creator>
		<pubDate>Wed, 16 Feb 2022 20:15:23 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch]]></category>
		<category><![CDATA[Amazon OpenSearch Service (Successor to Amazon Elasticsearch Service)]]></category>
		<category><![CDATA[Anomaly detection]]></category>
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					<description><![CDATA[Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) supports a highly performant, integrated anomaly detection engine that enables the real-time identification of anomalies in streaming data. Last year, we released high-cardinality anomaly detection (HCAD) to detect individual entities’ anomalies. With the 1.1 release, we have allowed you to monitor a million entities with steady, predictable […]]]></description>
		
		
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		<title>A deep dive into high-cardinality anomaly detection in Elasticsearch</title>
		<link>https://noise.getoto.net/2020/11/25/a-deep-dive-into-high-cardinality-anomaly-detection-in-elasticsearch/</link>
		
		<dc:creator><![CDATA[Kaituo Li]]></dc:creator>
		<pubDate>Tue, 24 Nov 2020 22:32:03 +0000</pubDate>
				<category><![CDATA[Amazon Elasticsearch Service]]></category>
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					<description><![CDATA[In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first, to enable our users to quickly and accurately detect anomalies in their [&#8230;]]]></description>
		
		
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