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%.
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Publisher: Amazon Web Services
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