Customer Stories / Media & Entertainment
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.
Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows
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.
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.
Explore Netflix's journey of innovation using AWS
More Netflix Stories
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United States
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. -
United States
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. -
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. -
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.
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