<?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>Anand Komandooru &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/author/anand-komandooru/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Tue, 01 Sep 2026 13:09:19 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>
	<item>
		<title>MCP went stateless: Is your AWS MCP server deployment well-architected?</title>
		<link>https://noise.getoto.net/2026/09/01/mcp-went-stateless-is-your-aws-mcp-server-deployment-well-architected/</link>
		
		<dc:creator><![CDATA[Anand Komandooru]]></dc:creator>
		<pubDate>Tue, 01 Sep 2026 13:09:19 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4715fffddcffeebcd9f213442a5b848d</guid>

					<description><![CDATA[On July 28, 2026, MCP made its protocol core stateless, removing the initialize handshake and session header. This post maps the MCP 2026-07-28 specification to the AWS Well-Architected Agentic AI Lens, pillar by pillar, and shows why the stateless design lets you delete the sticky sessions and session stores your MCP servers needed on AWS.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless</title>
		<link>https://noise.getoto.net/2024/05/31/implement-a-full-stack-serverless-search-application-using-aws-amplify-amazon-cognito-amazon-api-gateway-aws-lambda-and-amazon-opensearch-serverless/</link>
		
		<dc:creator><![CDATA[Anand Komandooru]]></dc:creator>
		<pubDate>Fri, 31 May 2024 16:12:19 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon CloudFront]]></category>
		<category><![CDATA[Amazon Cognito]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Amplify]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS WAF]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c3692d2c61819ab8a3df863b114d9d75</guid>

					<description><![CDATA[Designing a full stack search application requires addressing numerous challenges to provide a smooth and effective user experience. This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Amazon OpenSearch Serverless […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Automate the archive and purge data process for Amazon RDS for PostgreSQL using pg_partman, Amazon S3, and AWS Glue</title>
		<link>https://noise.getoto.net/2023/08/22/automate-the-archive-and-purge-data-process-for-amazon-rds-for-postgresql-using-pg_partman-amazon-s3-and-aws-glue/</link>
		
		<dc:creator><![CDATA[Anand Komandooru]]></dc:creator>
		<pubDate>Tue, 22 Aug 2023 16:07:02 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[PostgreSQL compatible]]></category>
		<category><![CDATA[RDS for PostgreSQL]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=82ff00fe0cf699615526c01541a3ce5e</guid>

					<description><![CDATA[The post Archive and Purge Data for Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL Compatibility using pg_partman and Amazon S3 proposes data archival as a critical part of data management and shows how to efficiently use PostgreSQL’s native range partition to partition current (hot) data with pg_partman and archive historical (cold) data in […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/?utm_source=w3tc&utm_medium=footer_comment&utm_campaign=free_plugin

Object Caching 24/39 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2026-10-26 00:09:55 by W3 Total Cache
-->