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

More Netflix Stories

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  • Americas

    Netflix on AWS

    Netflix is the world’s leading internet television network, with more than 200 million members in more than 190 countries enjoying 125 million hours of TV shows and movies each day. Netflix uses AWS for nearly all its computing and storage needs, including databases, analytics, recommendation engines, video transcoding, and more—hundreds of functions that in total use more than 100,000 server instances on AWS.

    2019
  • North America

    Fix This Podcast #66 - Powering creativity and collaboration with Netflix

    Discover how Netflix uses AWS to build flexible, remote workstations to attract and retain creative talent that can now collaborate from virtually anywhere.

    2022
  • United States

    Executive insights panel: Changing your culture in the age of cloud

    In this session, learn how leaders that focus on cultivating a cloud-ready culture can help their organizations become more innovative.
    2022
  • United States

    Netflix Reimagines Multi-Account Deployments for Security and Speed

    Netflix shares a new paradigm for multi-account architecture based on decoupling a workload’s identity and permissions from its underlying cloud infrastructure.
    2022
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