GR8 Road to #fame – Building & scaling a live streaming mobile platform

#fame is the India’s first mobile only Live streaming mobile platform. The application is backed by the Micro service based architecture using Grails and Java based Frameworks. So I am going to talk about the how we architect the live streaming platform and how quickly we went bigger in terms of user base & traffic. What proactive measures were taken to make the application scalable, with over 5 million installs, 1 million registered users and counting.

Areas covered during the talk:
● What is Live stream?
● Some video domain terminology like RTSP, HLS, DVR, Player, Transcoding, Adaptive bitrate etc
● Architecture of the application
● Challenges faced while scaling the application
● Load stats and success stories
● How we used prediction.io for generating recommendations: Recommendation system on Grails
● Use of hadoop and spark for realtime processing

Key takeaways:
● Better understanding of Video domain based and live streaming applications
● Getting started with Micro services
● How one can quickly move away from Monolith
● Spending less and still not using the Monolith approach
● How one can scale the application quickly to handle load
● On demand scaling : Auto scaling
● etc…

Speaker:

Rishabh-Jain-75Harkesh-Kumar-75Rishabh Jain is a Big Data Consultant for #Fame. Harkesh Kumar is the Lead Developer for #Fame ….

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