Hudl: Ingesting and Transcoding Video Data Using AWS
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27.06.22 – 1 4835:16Популярные
22 дня – 6 3122:58
17 дней – 1 0014:36Опубликовано 27 июня 2022, 17:43
In this episode, learn how Hudl ingests video data from various sources and provides transcoded video back to the users in a playable format. You'll learn how they use SQS to prioritize incoming data based on performance and time sensitiveness and use Spot Fleet to transcode the data. To be cost effective, they also use a Lambda function that leverage CloudWatch metrics that uses target tracking to scale in or out, helping them reduce compute costs by 28%.
Check out more resources for architecting in the #AWS cloud:
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#AWS #AmazonWebServices #CloudComputing #ThisIsMyArchitecture
Check out more resources for architecting in the #AWS cloud:
amzn.to/2ZIbygO
#AWS #AmazonWebServices #CloudComputing #ThisIsMyArchitecture
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