Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Monal Daxini

Monal Daxini
Engineering Manager, Netflix

Website | @monaldax

Monal Daxini is an engineering manager at Netflix, where he is building a scalable and multitenant event processing pipeline and leads the infrastructure for stream processing as a service. He has worked on Netflix’s Cassandra and Dynamite infrastructure and was instrumental in developing the encoding compute infrastructure for all Netflix content. Monal has 15 years of experience building distributed systems at organizations like Netflix,, and Cisco.


11:50am12:30pm Wednesday, March 15, 2017
Data engineering and architecture
Location: LL20 A Level: Intermediate
Secondary topics:  Architecture, Data Platform, Media
Christopher Colburn (Netflix), Monal Daxini (Netflix)
Average rating: ****.
(4.00, 3 ratings)
In the past, typical real-time data processing was reserved for answering operational questions and very basic analytical questions, but with better processing frameworks and more-capable hardware, the streaming context can now enable personalization applications. Christopher Colburn and Monal Daxini explore the challenges faced when building a streaming application at scale at Netflix. Read more.
5:10pm5:50pm Wednesday, March 15, 2017
Data engineering and architecture
Location: LL20 A Level: Advanced
Secondary topics:  Architecture, Media, Platform, Streaming
Monal Daxini (Netflix)
Average rating: ****.
(4.50, 2 ratings)
Netflix Keystone processes over a trillion events per day with at-least-once processing semantics in the cloud. Monal Daxini explores what it means to offer stream processing as a service (SPaaS), how Netflix implemented a scalable, fault-tolerant multitenant SPaaS internal offering, and how it evolved the system in flight with no downtime. Read more.