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OPEN SESSION (API): Scaling Data Management at Netflix: The Power of Data Abstractions
Wednesday November 6, 2024 3:30pm - 3:55pm PST
API World -- Expo Discovery Stage
Raj Ummadisetty, Netflix, Senior Software Engineer
Vidhya Arvind, Netflix, Staff Software Engineer

Managing data at Netflix scale presents unique challenges, especially with multiple applications requiring diverse databases. Traditional methods risk database sprawl, fragmented knowledge, and redundant efforts. Netflix's Data Access team addresses these issues with Data Abstractions, creating a streamlined data access layer.

Our paved path abstractions—KeyValue, Time Series, Graph, and more—offer robust APIs that hide underlying database complexities. Application teams simply specify their access patterns and requirements, and select the appropriate abstraction. Our platform then handles capacity planning, hardware provisioning, and database deployment.

Data Abstractions allow us to transparently switch databases, ensuring optimal performance and scalability as use cases evolve. This approach has enabled one of the largest database migrations at Netflix, completely transparent to the client. This innovative approach allows Netflix to maintain a high level of service reliability and operational efficiency, even as new database technologies emerge.

Learning objectives
1) Gain a comprehensive understanding of what Data Abstractions are and how they simplify database management by providing a robust data access layer.
2) Discover how Netflix's platform handles capacity planning and hardware provisioning based on application teams' specified access patterns and requirements.
3) Explore the architecture, scale, and novel techniques employed by Netflix to operate Data Abstractions reliably at massive scale.
 
Speakers
avatar for Vidhya Arvind

Vidhya Arvind

Staff software Engineer, Netflix
Vidhya Arvind is a Senior Software Engineer at Netflix and a Senior IEEE member, specializing in building data abstractions. She is a founding member of Netflix’s data abstraction platform, which supports common patterns including KeyValue, Tree, TimeSeries, Table Metadata, and... Read More →
avatar for Raj Ummadisetty

Raj Ummadisetty

Senior Software Engineer, Netflix
Rajasekhar Ummadisetty is a leading professional with over a decade of experience in solving distributed systems problems at scale. He currently leads the development of data abstractions at Netflix, focusing on scalable, high-performance solutions. Previously, Rajasekhar made significant... Read More →
Wednesday November 6, 2024 3:30pm - 3:55pm PST
API World -- Expo Discovery Stage
  OPEN SESSIONS, API World
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