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Arun Kejariwal

Arun Kejariwal
Lead Engineer, Independent


@arun_kejariwal is currently a Staff Capacity Engineer at Twitter where he works on research and development of novel techniques to improve the accuracy of capacity models and demand forecasts. Prior to joining Twitter, @arun_kejariwal worked on research and development of practical and statistically rigorous methodologies to deliver high performance, availability and scalability in large scale distributed clusters. Some of the techniques developed have been published in peer-reviewed international conferences/journals.

@arun_kejariwal received his Bachelor’s degree in EE from IIT Delhi and doctorate in CS from UCI.


Mission City Ballroom B4
Vibhav Garg (Twitter), Arun Kejariwal (Independent)
Average rating: **...
(2.71, 17 ratings)
High performance and availability are highly dependent on the capacity allocated to a service. The ability to forecast when a service is expected to be under capacity is key to maintaining an efficient and highly performing infrastructure. We present a way to statistically forecast the number of days a service can run before its performance is expected to degrade based on pre-determined criteria. Read more.