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	<title>Hendrik Schoeneberg &#8211; Noise</title>
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		<title>How to Run Massively Scalable ADAS Simulation Workloads on CAEdge</title>
		<link>https://noise.getoto.net/2022/02/10/how-to-run-massively-scalable-adas-simulation-workloads-on-caedge/</link>
		
		<dc:creator><![CDATA[Hendrik Schoeneberg]]></dc:creator>
		<pubDate>Thu, 10 Feb 2022 05:27:16 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Container Registry]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[This post was co-written by Hendrik Schoeneberg, Sr. Global Big Data Architect, The An Binh Nguyen, Product Owner for Cloud Simulation at Continental, Autonomous Mobility – Engineering Platform, Rumeshkrishnan Mohan, Global Big Data Architect, and Junjie Tang, Principal Consultant at AWS Professional Services. AV/ADAS simulations processing large-scale field sensor data such as radar, lidar, and […]]]></description>
		
		
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		<title>Field Notes: Deploying Autonomous Driving and ADAS Workloads at Scale with Amazon Managed Workflows for Apache Airflow</title>
		<link>https://noise.getoto.net/2021/08/05/field-notes-deploying-autonomous-driving-and-adas-workloads-at-scale-with-amazon-managed-workflows-for-apache-airflow/</link>
		
		<dc:creator><![CDATA[Hendrik Schoeneberg]]></dc:creator>
		<pubDate>Wed, 04 Aug 2021 23:05:15 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></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[Cloud Architects developing autonomous driving and ADAS workflows are challenged by loosely distributed process steps along the tool chain in hybrid environments. This is accelerated by the need to create a holistic view of all running pipelines and jobs. Common challenges include: finding and getting access to the data sources specific to your use case, […]]]></description>
		
		
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