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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Netflix Drive: Cloud Filesystem in Studio Workflows
Learn about the architecture that provides Netflix artists with a secure, performant, and seamless storage interface using Amazon S3. -
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Netflix Accelerates Insights Using AWS SDK Instrumentation
Learn how Netflix Migrates application identity across AWS accounts and fills gaps in cloud data sources by instrumenting AWS SDKs to create new categories of visibility. -
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Netflix: Hybrid cloud approach to cataloging objects across storage systems
learn how Netflix tracks, stores and moves assets across its hybrid cloud consisting of object stores and file systems. -
United States
The Evolution of Chaos Engineering at Netflix
hear how Netflix has evolved chaos engineering into the discipline of infrastructure experimentation.
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