Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Anirudha Beria

Anirudha Beria
Member of Technical Staff, Qubole


Anirudha Beria is a member of the technical staff at Qubole, where he’s working on query optimizations and resource utilization in Apache Spark.


16:3517:15 Wednesday, 1 May 2019
Anirudha Beria (Qubole), Rohit Karlupia (Qubole)
Average rating: ***..
(3.67, 3 ratings)
Autoscaling of resources aims to achieve low latency for a big data application while reducing resource costs at the same time. Scalability-aware autoscaling uses historical information to make better scaling decisions. Anirudha Beria and Rohit Karlupia explain how to measure the efficiency of autoscaling policies and discuss more efficient autoscaling policies, in terms of latency and costs. Read more.