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Large-Scale Media Archive Migration to the Cloud

Description

We’ve spent about 1.5 years building a cloud-based microservice platform for media supply chain, and at the same time moving close to 40 petabytes of content to cloud based storage and archive. If you’re watching studio content at home (cable, OTT, broadcast, mobile) or at a theater, it’s probably originated from our archive. The goal of this talk is to detail exactly how we accomplished this (we are a small team of less than a dozen people, with 130+ developers deploying services to manipulate content on top of our platform), and how we built cloud native infrastructure to ingest, secure, package, prep, transcode, apply machine learning to remove human operators, and deliver this content at a volume of about 5 petabytes of delivered media per month. Metrics are important, so we’ll show as many of those as possible, as well as inventive ways to configure and use cloud storage and services to move and process content at this scale, and some of the ‘uh oh’ moments we ran into. Presented at Demuxed 2019 in San Francisco.

Conference

Demuxed 2019

Speakers

Konstantin Wilms

SVP-Cloud

Learning Categories

Metadata
Streaming
Machine Learning
Workflows

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What Codec Should I Use?

Alan Resnick

Doing Server-Side Ad Insertion on Live Sports for 25.3M Concurrent Users

Ashutosh Agrawal

Is now the time to solve the deepfake threat?

Roderick Hodgson

Super Resolution: The scaler of tomorrow, here today!

Nick Chadwick

The do's and don'ts about Streaming security

Javier Brines Garcia

Modeling the conceptual structure of FFmpeg in JavaScript

Ryan Harvey

Objectionable Uses of Objective Quality Metrics

Richard Fliam

RTMP: web video innovation or Web 1.0 hack… how did we get to now?

Sarah Allen

Large-Scale Media Archive Migration to the Cloud

Konstantin Wilms

HEVC Upload Experiments

Chris Ellsworth

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The SVTA University (SVTAU) is an educational arm of the Streaming Video Technology Alliance, providing courses and other instructional content related to understanding and working with components within the streaming video stack.

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