Media Distribution

Video solutions from AWS make it easy to build reliable, broadcast-quality video workflows in the cloud. Enable seamless delivery of live, linear, and on-demand content anywhere, anytime, to any device. Create professional quality media experiences for your viewers without the time, effort and expense typically required to run specialized video equipment in a traditional data center.

Pay-as-you-go pricing and fully-automated resource scaling let you handle any sized audience without upfront capital investment. Instead of managing complex infrastructure, AWS video solutions let you focus on content to give viewers a great user experience for OTT, broadcast playout and digital publishing.

Combined Broadcast and Streaming Playout from the AWS Cloud: Discovery's Architecture

Machine Learning & Analytics for Media Distribution

Transform data into industry leading innovations:

  • Meet consumer demand for personalized content and better discovery.
  • QoS analysis flags anomalies and provides predictive analytics for possible points of failure for proactive remediation.
  • Enable anti-piracy enforcement to identify patterns associated with content theft.

Use cases

  • Live Streaming
  • Video-on-Demand Streaming
  • Recommendation Engine
  • Live Streaming
  • Live Streaming

    AWS provides a live streaming solution that combines AWS Elemental MediaLive and AWS Elemental MediaPackage with Amazon CloudFront to build a highly resilient and scalable architecture that delivers your live content worldwide.

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    Media-Entertainment-Industry_Live streaming
  • Video-on-Demand Streaming
  • Video-on-Demand Streaming

    AWS offers its customers several methods designed to cost-effectively deliver on-demand video content to a global audience. These methods help enable you to dynamically scale any combination of video storage, processing, and delivery services on the AWS Cloud.

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    Media-Entertainment-Industry_VoD-streaming
  • Recommendation Engine
  • Recommendation Engine

    Delivering personalized content at scale makes for a much more engaged consumer. Building a Recommendation Engine is one of the most popular applications in machine learning (ML) enabling OTT providers to offer relevant, personalized content.

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    Media-Entertainment-Industry_Recommendation engine

Case studies and resources

Netflix

Nearly 100% of Netflix's OTT delivery is on AWS. They needed massive scalability and elasticity to deliver content to over 130 million customers around the world, on all their customers’ devices, while achiving nearly zero downtime.

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Discovery, Inc

Discovery broadcasts over 400 channels in 220 countries and 50 languages. They came to AWS to design a more nimble global broadcast operations center for delivering against today’s and tomorrow's business models. They went live with over 150 global channels on AWS, including short-run channels for major events like the 2018 Olympics.

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BAMTech

BAMTech wanted a new way to capture and analyze every play using data-collection and analysis tools. They needed a platform that could quickly ingest data from ballparks across North America, provide enough compute power for real-time analytics, produce results in seconds, and then be shut down during the off season. They turned to AWS to power their revolutionary Player Tracking System.

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TVNZ

TVNZ is New Zealand’s leading free-to-air TV provider, bringing news and entertainment coverage to more than two million New Zealanders every day. TVNZ used AWS Elemental MediaLive, AWS Elemental MediaPackage, and Amazon CloudFront to deliver reliable and robust coverage of the XXI Commonwealth Games to more than three million viewers in New Zealand.

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Get started

We can help you get started with a consultation from our sales and architecture organization, or you can begin your own pilot today.