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Create a Docker image that: 1) leverages FFMPEG to encode videos on demand and 2) uses Scaleway's Object Storage as a persistence layer for pulling and pushing videos.
Push that image to Scaleway's container registry
Deploy it as a Serverless Job
Trigger that Job on demand
Why is it needed?
Serverless jobs are great for audio/image/video encoding as they scale up and down as needed, saving costs by only charging for what's used. With video encoding, where demands can vary greatly, this flexibility ensures efficient processing without overspending on idle servers. It's a practical and budget-friendly solution for encoding tasks.
Hello @antoinechampion, thank you for this proposal! Could you confirm that you still wish to write this tutorial? If so, you can go ahead and start working on the content.
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@thomas-tacquet Not necessarily. I'm far from being a subject matter expert, but here's my understanding:
GPU encoding is much faster
CPU encoding supports a broad range of video codecs with better quality and file size
Hence GPU encoding would be more suited to real-time encoding scenarios, in which I wouldn't use a serverless job but instead a dedicated machine running 24/7.
Summary
Why is it needed?
Serverless jobs are great for audio/image/video encoding as they scale up and down as needed, saving costs by only charging for what's used. With video encoding, where demands can vary greatly, this flexibility ensures efficient processing without overspending on idle servers. It's a practical and budget-friendly solution for encoding tasks.
Want to write this documentation yourself?
Yes
Related PR(s)
TBA
(Optional) Scaleway Organization ID
4993020b-9474-4a6b-bd92-f75236709147
Email address
antoine.champion@outlook.fr
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