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	<title>Yu-Ting Su &#8211; Noise</title>
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		<title>Detect and resolve HBase inconsistencies faster with AI on Amazon EMR</title>
		<link>https://noise.getoto.net/2026/05/12/detect-and-resolve-hbase-inconsistencies-faster-with-ai-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Tue, 12 May 2026 15:56:41 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon OpenSearch]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache HBase]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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		<category><![CDATA[Experience-Based Acceleration]]></category>
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					<description><![CDATA[In this post, we show you how to build an AI-powered troubleshooting solution using Amazon OpenSearch Service vector search and intelligent analysis. This solution reduces HBase inconsistency resolution from hours to minutes and root cause identification from days to hours through natural language queries over operational data. This democratizes HBase troubleshooting capabilities across teams and reducing dependency on specialized expertise.]]></description>
		
		
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		<title>Optimize HBase reads with bucket caching on Amazon EMR</title>
		<link>https://noise.getoto.net/2026/03/10/optimize-hbase-reads-with-bucket-caching-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Tue, 10 Mar 2026 18:22:47 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Apache HBase]]></category>
		<category><![CDATA[Expert (400)]]></category>
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					<description><![CDATA[In this post, we demonstrate how to improve HBase read performance by implementing bucket caching on Amazon EMR. Our tests reduced latency by 57.9% and improved throughput by 138.8%. This solution is particularly valuable for large-scale HBase deployments on Amazon S3 that need to optimize read performance while managing costs.]]></description>
		
		
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		<title>Enhance Amazon EMR observability with automated incident mitigation using Amazon Bedrock and Amazon Managed Grafana</title>
		<link>https://noise.getoto.net/2025/08/14/enhance-amazon-emr-observability-with-automated-incident-mitigation-using-amazon-bedrock-and-amazon-managed-grafana/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Thu, 14 Aug 2025 15:25:16 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Bedrock Agents]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Managed Grafana]]></category>
		<category><![CDATA[Amazon Managed Service for Prometheus]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate how to integrate real-time monitoring with AI-powered remediation suggestions, combining Amazon Managed Grafana for visualization, Amazon Bedrock for intelligent response recommendations, and AWS Systems Manager for automated remediation actions on Amazon Web Services (AWS).]]></description>
		
		
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		<title>Implement Amazon EMR HBase Graceful Scaling</title>
		<link>https://noise.getoto.net/2025/03/18/implement-amazon-emr-hbase-graceful-scaling/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Tue, 18 Mar 2025 16:05:56 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache HBase]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
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					<description><![CDATA[Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. We can use Amazon EMR with HBase on top of Amazon Simple Storage Service (Amazon S3) for random, strictly consistent real-time access for tables with Apache Kylin. This post demonstrates how to gracefully decommission target region servers programmatically.]]></description>
		
		
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