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WIN307: Searching Inside Video at Petabyte Scale Using Spot

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When? This feed was archived on August 01, 2022 17:41 (1+ y ago). Last successful fetch was on January 04, 2017 18:46 (7+ y ago)

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Manage episode 169376403 series 1333505
Content provided by AWS re:Invent 2016. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS re:Invent 2016 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Video is a 'last-mile problem' for search technology. Unlike webpages, documents, and email, content in videos has traditionally been impossible to search. Recent advances in automated speech and text recognition, however, let businesses and universities search inside video assets as easily as inside textual content. In this session, you'll learn how Panopto is using AWS to solve the video-search problem at scale, while saving over 50% in operating costs by taking advantage of Spot instances. We discuss the cross-platform architecture that combines Windows and Linux to provide cost-effective video processing and search indexing. We also dive deep into scaling Spot elastically based on user demand, handling fallback situations when instances are revoked, and using the Spot bidding process to optimize cost structure. Finally, we discuss future plans to reduce operating costs even further through Spot fleets and grid processing.
  continue reading

390 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on August 01, 2022 17:41 (1+ y ago). Last successful fetch was on January 04, 2017 18:46 (7+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 169376403 series 1333505
Content provided by AWS re:Invent 2016. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS re:Invent 2016 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Video is a 'last-mile problem' for search technology. Unlike webpages, documents, and email, content in videos has traditionally been impossible to search. Recent advances in automated speech and text recognition, however, let businesses and universities search inside video assets as easily as inside textual content. In this session, you'll learn how Panopto is using AWS to solve the video-search problem at scale, while saving over 50% in operating costs by taking advantage of Spot instances. We discuss the cross-platform architecture that combines Windows and Linux to provide cost-effective video processing and search indexing. We also dive deep into scaling Spot elastically based on user demand, handling fallback situations when instances are revoked, and using the Spot bidding process to optimize cost structure. Finally, we discuss future plans to reduce operating costs even further through Spot fleets and grid processing.
  continue reading

390 episodes

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