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	<title>Raghavarao Sodabathina &#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>Federate access to Amazon SageMaker Unified Studio with AWS IAM Identity Center and Ping Identity</title>
		<link>https://noise.getoto.net/2026/02/02/federate-access-to-amazon-sagemaker-unified-studio-with-aws-iam-identity-center-and-ping-identity/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 02 Feb 2026 20:39:39 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[AWS IAM Identity Center]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how to set up workforce access with SageMaker Unified Studio using Ping Identity as an external IdP with IAM Identity Center.]]></description>
		
		
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		<item>
		<title>Federate access to SageMaker Unified Studio with AWS IAM Identity Center and Okta</title>
		<link>https://noise.getoto.net/2025/10/27/federate-access-to-sagemaker-unified-studio-with-aws-iam-identity-center-and-okta/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 27 Oct 2025 21:11:07 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[AWS IAM Identity Center]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post shows step-by-step guidance to setup workforce access to Amazon SageMaker Unified Studio using Okta as an external Identity provider with AWS IAM Identity Center.]]></description>
		
		
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			</item>
		<item>
		<title>Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications</title>
		<link>https://noise.getoto.net/2024/05/28/architectural-patterns-for-real-time-analytics-using-amazon-kinesis-data-streams-part-2-ai-applications/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Tue, 28 May 2024 16:49:25 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis Data Streams]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Generative BI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1511201c421ae930723c228bfbd4070a</guid>

					<description><![CDATA[Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we […]]]></description>
		
		
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			</item>
		<item>
		<title>Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1</title>
		<link>https://noise.getoto.net/2024/01/08/architectural-patterns-for-real-time-analytics-using-amazon-kinesis-data-streams-part-1/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 08 Jan 2024 19:32:46 +0000</pubDate>
				<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8ac9896711d380829ffcc037edad5c7d</guid>

					<description><![CDATA[We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being […]]]></description>
		
		
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		<item>
		<title>Building event-driven architectures with IoT sensor data</title>
		<link>https://noise.getoto.net/2022/11/21/building-event-driven-architectures-with-iot-sensor-data/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 21 Nov 2022 15:14:44 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS IoT Core]]></category>
		<category><![CDATA[AWS IoT Greengrass]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7ccc205103550507bdc979eb1fa6871c</guid>

					<description><![CDATA[The Internet of Things (IoT) brings sensors, cloud computing, analytics, and people together to improve productivity and efficiency. It empowers customers with the intelligence they need to build new services and business models, improve products and services over time, understand their customers’ needs to provide better services, and improve customer experiences. Business operations become more […]]]></description>
		
		
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		<item>
		<title>Architecting near real-time personalized recommendations with Amazon Personalize</title>
		<link>https://noise.getoto.net/2022/11/14/architecting-near-real-time-personalized-recommendations-with-amazon-personalize/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 14 Nov 2022 18:53:48 +0000</pubDate>
				<category><![CDATA[Amazon Personalize]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Marketing & Advertising]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=be70fc52d89a9406b2ea6b63a657b09d</guid>

					<description><![CDATA[Delivering personalized customer experiences enables organizations to improve business outcomes such as acquiring and retaining customers, increasing engagement, driving efficiencies, and improving discoverability. Developing an in-house personalization solution can take a lot of time, which increases the time it takes for your business to launch new features and user experiences. In this post, we show […]]]></description>
		
		
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			</item>
		<item>
		<title>Building SAML federation for Amazon OpenSearch Dashboards with Ping Identity</title>
		<link>https://noise.getoto.net/2022/04/19/building-saml-federation-for-amazon-opensearch-dashboards-with-ping-identity/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Tue, 19 Apr 2022 17:41:36 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Architecture]]></category>
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					<description><![CDATA[Amazon OpenSearch is an open search and log analytics service, powered by the Apache Lucene search library. In this blog post, we provide step-by-step guidance for SP-initiated SSO by showing how to set up a trial Ping Identity account. We’ll show how to build users and groups within your organization’s directory and enable SSO in […]]]></description>
		
		
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			</item>
		<item>
		<title>Building SAML federation for Amazon OpenSearch Service with Okta</title>
		<link>https://noise.getoto.net/2022/04/15/building-saml-federation-for-amazon-opensearch-dashboards-with-okta/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Fri, 15 Apr 2022 14:59:10 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0f28d7f2d37f679640d7ed073097098c</guid>

					<description><![CDATA[Amazon OpenSearch Service is a fully managed open search and analytics service powered by the Apache Lucene search library. Security Assertion Markup Language (SAML)-based federation for OpenSearch Dashboards lets you use your existing identity provider (IdP) like Okta to provide single sign-on (SSO) for OpenSearch Dashboards on OpenSearch Service domains. This post shows step-by-step guidance […]]]></description>
		
		
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			</item>
		<item>
		<title>Building SAML federation for Amazon OpenSearch Dashboards with Auth0</title>
		<link>https://noise.getoto.net/2022/04/11/building-saml-federation-for-amazon-opensearch-dashboards-with-auth0/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 11 Apr 2022 17:05:15 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ef779b5626330e3df2c29422b100d3b5</guid>

					<description><![CDATA[Amazon OpenSearch is a fully managed, distributed, open search, and analytics service that is powered by the Apache Lucene search library. OpenSearch is derived from Elasticsearch 7.10.2, and is used for real-time application monitoring, log analytics, and website search. It’s ideal for use cases that require fast access and response for large volumes of data. […]]]></description>
		
		
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			</item>
		<item>
		<title>How Parametric Built Audit Surveillance using AWS Data Lake Architecture</title>
		<link>https://noise.getoto.net/2021/10/28/how-parametric-built-audit-surveillance-using-aws-data-lake-architecture/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Thu, 28 Oct 2021 18:05:32 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Key Management Service*]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[devops]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ffdf6efc9fb9fa1df861d8f637ab49c0</guid>

					<description><![CDATA[Parametric Portfolio Associates (Parametric), a wholly owned subsidiary of Morgan Stanley, is a registered investment adviser. Parametric provides investment advisory services to individual and institutional investors around the world. Parametric manages over 100,000 client portfolios with assets under management exceeding $400B (as of 9/30/21). As a registered investment adviser, Parametric is subject to numerous regulatory […]]]></description>
		
		
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			</item>
		<item>
		<title>Amazon SES configuration for an external SMTP provider with Auth0</title>
		<link>https://noise.getoto.net/2021/09/15/amazon-ses-configuration-for-an-external-smtp-provider-with-auth0/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Wed, 15 Sep 2021 17:36:26 +0000</pubDate>
				<category><![CDATA[Amazon SES]]></category>
		<category><![CDATA[Amazon Simple Email Service (SES)]]></category>
		<category><![CDATA[AWS]]></category>
		<category><![CDATA[customer engagement]]></category>
		<category><![CDATA[messaging]]></category>
		<category><![CDATA[SMTP]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=91b9f6d6c06fd0b1bf45b4b83c540ed3</guid>

					<description><![CDATA[Many organizations are using an external identity provider to manage user identities. With an identity provider (IdP), customers can manage their user identities outside of AWS and give these external user identities permissions to use AWS resources in customer AWS accounts. The most common requirement when setting up an external identity provider is sending outgoing […]]]></description>
		
		
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			</item>
		<item>
		<title>How to Accelerate Building a Lake House Architecture with AWS Glue</title>
		<link>https://noise.getoto.net/2021/08/24/how-to-accelerate-building-a-lake-house-architecture-with-aws-glue/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Tue, 24 Aug 2021 17:06:44 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=19d19a8c9ef718a65ea3673d52d7654d</guid>

					<description><![CDATA[Customers are building databases, data warehouses, and data lake solutions in isolation from each other, each having its own separate data ingestion, storage, management, and governance layers. Often these disjointed efforts to build separate data stores end up creating data silos, data integration complexities, excessive data movement, and data consistency issues. These issues are preventing […]]]></description>
		
		
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			</item>
		<item>
		<title>Analyze Fraud Transactions using Amazon Fraud Detector and Amazon Athena</title>
		<link>https://noise.getoto.net/2021/07/26/analyze-fraud-transactions-using-amazon-fraud-detector-and-amazon-athena/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 26 Jul 2021 14:33:01 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Fraud Detector]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Simple Storage Services (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d50bdd6b9118d8964d1c69236a822cf3</guid>

					<description><![CDATA[Organizations with online businesses have to be on guard constantly for fraudulent activity, such as fake accounts or payments made with stolen credit cards. One way they try to identify fraudsters is by using fraud detection applications. Some of these applications use machine learning (ML). A common challenge with ML is the need for a […]]]></description>
		
		
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			</item>
		<item>
		<title>Architecting Persona-centric Data Platform with On-premises Data Sources</title>
		<link>https://noise.getoto.net/2021/06/21/architecting-persona-centric-data-platform-with-on-premises-data-sources/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Mon, 21 Jun 2021 16:47:33 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Apache Nifi]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake house]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e15f09c7507dc368a9c37477b1aa9bf4</guid>

					<description><![CDATA[Many organizations are moving their data from silos and aggregating it in one location. Collecting this data in a data lake enables you to perform analytics and machine learning on that data. You can store your data in purpose-built data stores, like a data warehouse, to get quick results for complex queries on structured data. […]]]></description>
		
		
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		<item>
		<title>Fine-tuning blue/green deployments on application load balancer</title>
		<link>https://noise.getoto.net/2020/10/31/fine-tuning-blue-green-deployments-on-application-load-balancer/</link>
		
		<dc:creator><![CDATA[Raghavarao Sodabathina]]></dc:creator>
		<pubDate>Sat, 31 Oct 2020 01:59:59 +0000</pubDate>
				<category><![CDATA[devops]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ab264645037164bbe858d73db501fa80</guid>

					<description><![CDATA[In a traditional approach to application deployment, you typically fix a failed deployment by redeploying an older, stable version of the application. Redeployment in traditional data centers is typically done on the same set of resources due to the cost and effort of provisioning additional resources. Applying the principles of agility, scalability, and automation capabilities [&#8230;]]]></description>
		
		
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