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
Netflix Empowers Remote Artistry with Low-Latency Workstations Using AWS Local Zones
Netflix deployed its visual effects studio closer to artists using AWS Local Zones, helping it achieve single-digit millisecond latency and keep its remote workstations running smoothly. -
Americas
Netflix & Amazon Kinesis Streams Case Study
Netflix uses AWS to analyze billions of messages across more than 100,000 application instances daily in real time, enabling it to optimize user experience, reduce costs, and improve application resilience. -
United States
Netflix & AWS Lambda Case Study
Netflix is planning to use AWS Lambda to build rule-based self-managing infrastructure and replace inefficient processes to reduce the rate of errors and save valuable time. Watch Neil Hunt, Netflix’s chief product officer, explain how the company can use event-based triggers to help automate the encoding process of media files, the validation of backup completions and instance deployments at scale, and the monitoring of AWS resources used by the organization. -
United States
Untangling multi-account management with ConsoleMe
In this AWS re:Invent 2020 session, explore a Netflix tool, ConsoleMe, developed to address this issue securely, reduce inconsistencies and delays experienced by end users, and lower the multi-account management burden.
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