<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Harish Vaswani &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/author/harish-vaswani/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Wed, 05 Jan 2022 13:06:35 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops</title>
		<link>https://noise.getoto.net/2022/01/05/monitor-aws-resources-created-by-terraform-in-amazon-devops-guru-using-tfdevops/</link>
		
		<dc:creator><![CDATA[Harish Vaswani]]></dc:creator>
		<pubDate>Wed, 05 Jan 2022 13:06:35 +0000</pubDate>
				<category><![CDATA[Amazon DevOps Guru]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=814be35442fed44aaaa5f805b4fe92e3</guid>

					<description><![CDATA[This post was written in collaboration with Kapil Thangavelu, CTO at Stacklet Amazon DevOps Guru is a machine learning (ML) powered service that helps developers and operators automatically detect anomalies and improve application availability. DevOps Guru utilizes machine learning models, informed by years of Amazon.com and AWS operational excellence to identify anomalous application behavior (e.g., increased […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Anomaly Detection in AWS Lambda using Amazon DevOps Guru’s ML-powered insights</title>
		<link>https://noise.getoto.net/2021/11/04/anomaly-detection-in-aws-lambda-using-amazon-devops-gurus-ml-powered-insights/</link>
		
		<dc:creator><![CDATA[Harish Vaswani]]></dc:creator>
		<pubDate>Thu, 04 Nov 2021 19:12:05 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=08a5170756174489b7011d97bad1a4bc</guid>

					<description><![CDATA[Critical business applications are monitored in order to prevent anomalies from negatively impacting their operational performance and availability. Amazon DevOps Guru is a Machine Learning (ML) powered solution that aids operations by detecting anomalous behavior and providing insights and recommendations for how to address the root cause before it impacts the customer. This post demonstrates how Amazon […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 44/46 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2026-02-09 11:57:44 by W3 Total Cache
-->