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	<title>Ajay Vohra &#8211; Noise</title>
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		<title>Automate secure access to Amazon MWAA environments using existing OpenID Connect single-sign-on authentication and authorization</title>
		<link>https://noise.getoto.net/2023/07/18/automate-secure-access-to-amazon-mwaa-environments-using-existing-openid-connect-single-sign-on-authentication-and-authorization/</link>
		
		<dc:creator><![CDATA[Ajay Vohra]]></dc:creator>
		<pubDate>Tue, 18 Jul 2023 17:25:04 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Customers use Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run Apache Airflow at scale in the cloud. They want to use their existing login solutions developed using OpenID Connect (OIDC) providers with Amazon MWAA; this allows them to provide a uniform authentication and single sign-on (SSO) experience using their adopted identity providers (IdP) […]]]></description>
		
		
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		<title>Field Notes: Building a Data Service for Autonomous Driving Systems Development using Amazon EKS</title>
		<link>https://noise.getoto.net/2021/11/30/field-notes-building-a-data-service-for-autonomous-driving-systems-development-using-amazon-eks/</link>
		
		<dc:creator><![CDATA[Ajay Vohra]]></dc:creator>
		<pubDate>Tue, 30 Nov 2021 20:57:43 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Many aspects of autonomous driving (AD) system development are based on data that capture real-life driving scenarios. Therefore, research and development professionals working on AD systems need to handle an ever-changing array of interesting datasets composed from the real-life driving data.  In this blog post, we address a key problem in AD system development, which […]]]></description>
		
		
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		<title>Field Notes: Launch a Fully Configured AWS Deep Learning Desktop with NICE DCV</title>
		<link>https://noise.getoto.net/2021/07/22/field-notes-launch-a-fully-configured-aws-deep-learning-desktop-with-nice-dcv/</link>
		
		<dc:creator><![CDATA[Ajay Vohra]]></dc:creator>
		<pubDate>Thu, 22 Jul 2021 14:48:56 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Deep Learning AMIs]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[You want to start quickly when doing deep learning using GPU-activated Elastic Compute Cloud (Amazon EC2) instances in the AWS Cloud. Although AWS provides end-to-end machine learning (ML) in Amazon SageMaker, working at the deep learning frameworks level, the quickest way to start is with AWS Deep Learning AMIs (DLAMIs), which provide preconfigured Conda environments for […]]]></description>
		
		
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