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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How Netflix is Using IPv6 to Enable Hyperscale Networking
In this AWS re:Invent session, follow the Netflix cloud networking team on a journey to understand the scaling challenges that Netflix faces with IPv4 and the drivers for IPv6. -
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Keeping Netflix Reliable Using Prioritized Load Shedding
In this 2021 AWS re:Invent session, learn how Netflix set out to be more resilient by consistently prioritizing requests across device types, progressively throttling requests based on priority using Amazon Elastic Compute Cloud (Amazon EC2), and validating assumptions by using chaos testing (deliberate fault injection) for requests of specific priorities. -
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A Day in the Life of a Netflix Engineer
This entertaining journey through the tech stack serves as an introduction to how Netflix thinks about and designs systems, the Netflix approach to operational challenges, and how other organizations can apply the company's thought processes and technologies. -
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Another Day in the Life of a Cloud Network Engineer at Netflix
In this AWS re:Invent session from 2018, learn how the cloud network engineering team at Netflix automates and manages an infrastructure that services over 125 million customers using Amazon Route 53 and Amazon Elastic Compute Cloud (Amazon EC2).
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