Customer Stories / Media & Entertainment

2019
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More Data Science with Less Engineering: ML Infrastructure at Netflix

In this Amazon Web Services (AWS) re:Invent session, Netflix shares its human-centric design principles that provides its engineers with autonomy. Learn how Netflix developed an end-to-end machine learning (ML) infrastructure, Metaflow, using elastic compute, high-throughput storage, and dynamic, scalable notebooks built on AWS using Amazon Simple Storage Service (Amazon S3), Amazon SageMaker, AWS Batch, and Amazon Relational Database Service (Amazon RDS).


AWS Services Used

Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

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Amazon SageMaker

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows

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AWS Batch

AWS Batch lets developers, scientists, and engineers efficiently run hundreds of thousands of batch and ML computing jobs while optimizing compute resources, so you can focus on analyzing results and solving problems.

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Amazon RDS

Amazon Relational Database Service (Amazon RDS) is a collection of managed services that makes it simple to set up, operate, and scale databases in the cloud.

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Explore Netflix's journey of innovation using AWS

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    How Netflix Plans Optimal Capacity in the Cloud

    Learn how Netflix selects the right Amazon EC2 options for a multitude of different stateful and stateless workloads that need different combinations of CPU, RAM, disk, and network.
    2022
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    Netflix Builds Resilient Multi-Site Workloads Using AWS Global Services

    Netflix uses AWS Global Infrastructure to create zonal, regional, and global services that prevent single points of failure.
    2022
  • United States

    Netflix Case Study

    Online content provider Netflix can support seamless global service by using Amazon Web Services (AWS). AWS enables Netflix to quickly deploy thousands of servers and terabytes of storage within minutes. Users can stream Netflix shows and movies from anywhere in the world, including on the web, on tablets, or on mobile devices such as iPhones.
    2016
  • United States

    Netflix Uses NICE DCV on AWS to Build VFX Studio in the Cloud for Artists Globally

    Netflix used NICE DCV and Amazon EC2 G4 Instances to build virtual workstations that attract top VFX and animation artists worldwide and enable seamless collaboration between global teams.
    2021
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