Vidhya
Arvind
Staff Software Engineer at Netflix
"Data Abstraction to Operate Services at Scale"
"Data Abstraction to Operate Services at Scale"
24 - 12:50 PM EDT/New York (See in local time)
Add to Calendar
04/24/2024 12:50 PM
04/24/2024 01:30 PM
America/New_York
#WTGC2024
"Data Abstraction to Operate Services at Scale"
#WTGC2024
"Data Abstraction to Operate Services at Scale"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Data Abstraction to Operate Services at Scale"
"Data Abstraction to Operate Services at Scale"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Data Abstraction to Operate Services at Scale
At Netflix, Data abstraction plays a pivotal role in hosting 100s of use cases at scale, they are widely adopted and depended on by mission-critical systems. Key-value service uses a control plane and data plane to abstract the data and uses some novel techniques to reliably store and safely scale the services. In this talk, I show how to design reliable APIs and lay out data for scale.Key Takeaways
- Learn about How Abstraction can help scale and operation the services reliably
- Design simple APIs to serve large customer base
Bio
Vidhya Arvind is a Staff Software Engineer for Netflix building abstractions. She is a founding member of Netflix’s data abstraction platform, which supports common patterns including KeyValue, Tree, TimeSeries, Table Metadata, and more. She loves learning, debugging, scaling systems, and solving hard problems. Vidhya currently spends most of her time providing scalable abstractions for thousands of developers at Netflix.