Building & scaling a live streaming mobile platform - Gr8 road to fame
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#fame is a live broadcasting platform launched on April 15, 2015, allowing users to stream and interact in real-time. It has gained significant traction with over 3 million monthly active users and hosts various entertainment events, brand promotions, and celebrity interactions. The platform aims to disrupt the talent discovery ecosystem with a mobile-first, highly interactive approach and faces challenges in scalability and user engagement.
Building & scaling a live streaming mobile platform - Gr8 road to fame
- 1. The GR8 Road to #fame Rishabh Jain To The New Digital http://www.fame.live
- 3. LIVE will be the new ‘Selfie’ by 2017 • #fame was launched on 15th April 2015 and was available for both Android and iOS from day 1. • Twitter’s Periscope was launched on March 26, 2015 and on May 26 2015 it was available for Android • Facebook Live launched in April. (6th April 2016)
- 4. Some terms that I would be using • DVR - Digital Video Recorder • Encoder - Compresses the video to standard format • Transcoding - converting a given video input into a digital format that is compatible with most types of Web players and mobile devices • RTMP - Real time messaging protocol • HLS - HTTP Live Streaming • OTT Platform - Over the Top, delivery of audio and video over Internet (e.g. Youtube.com) • Beam - Instead of Stream we call it Beam • Adaptive Bitrate - Automatically adjusting the video quality depending on the bandwidth.
- 5. Contents What is #fame? The Solution Some Key Components The Need Evolution/Future
- 6. What is #fame? A platform that allows users to broadcast themselves LIVE How #fame is fairing MAUs: 3M+ Watch Hours: ~17K / day Interactions: ~15M / day Multi-Country presence – India, Indonesia and Thailand
- 7. Key Milestone Big Bollywood Events IIFA(Bollywood Awards), Movie Releases Entertainment Event Streaming Sunburn Goa, NH-7 Weekender Brand Promotions OLA, Myntra, Bacardi, etc Celebrity Shows & Movie Promotions Afrojack, Akshay Kumar, S oha Ali Khan, Kunal Khemu and many more TV and Bollywood ac tors
- 8. Contents What is #fame? The Solution Some Key Components The Need Evolution/Future
- 9. Product vision #fame approached TTN Digital to build a Live Video Platform with an aim to Disrupt and Democratize Talent Discovery ecosystem What #fame needed Mobile first highly interactive and personalized (based on user behavior and preferences) social platform User can start beaming live to whole wide world at the click of button; can watch Videos On Demand as well International reach yet Hyper-local
- 10. Challenges- Business and Technical Small turn around time: MVP < 3 months Minimal Latency and adaptive quality in Live Streaming and across low bandwidths Real time chat Publish Subscribe at large scale and unpredictability Diverse ecosystem of mobile devices Early Movers Dilemma, Extreme Agility
- 11. Contents What is #fame? The Solution Some Key Components The Need Evolution/Future
- 12. Demo
- 13. The Story So Far April – May(2015) • Public Launch (Android, iOS) with improved features – Moderation, Instant Live etc. • CMS and Admin Jun – Jul(2015) • IIFA – Arch. And Prod. Scale-up • Landscape Mode • Stickers • Hashtags • Carousal Control • Sharing across App Aug – Sep (2015) • Revamped Go Live Experience • Follow Famestars On Sign-up • Consumer Learning Journey • Comments on Videos
- 14. The Story So Far Oct – Nov(2015) • Revamped UI / Navigation, Personalization, Social, FTL • Indonesia Launch Dec – Jan(2016) • Website Launch • Mobile Responsive Site • Revamped Search • Major Bugs and UI/UX Fixes • Thailand Launch • Regionalisation (S. India, GPS based) Feb-Mar(2016) • Portrait Beaming(Streaming) • Re-written chat Micro Service • Revamped Chat UX • Major Bugs and UI/UX Fixes • Own OTT Platform (instead of Youtube
- 15. Solution Architecture (Grails Plugin Based)
- 16. Thought Behind Initial Design Decisions API First Architecture: Mobile First Application Grails: RAD and good REST support Wowza Server : Good support for protocols & mature community PubNub : Leader in Chat and Instant Messaging Learning from the Initial Design Databases can quickly become point of contention Difficult to move fast with Monolithic architecture Business wants to move fast but how does Engineering cope up Victims of our initial success
- 17. Learn & Adapt
- 18. Solution Architecture – Improved & Refined
- 19. Thoughts behind the Changes Smaller chunks of applications should be easier to manage & scale Expanding teams will be easier as smaller specialized apps Database load distribution achieved partially Micro-services with Spring Boot
- 20. And We learn some more… If not done properly, Micro-services can be a dependency hell Few time consuming transactions can result in bad UX Performance tuning starts from requirement understanding: Think to scale We needed more database connections There are better ways to do calculations & aggregations Hope for the best, prepare for the worst
- 21. Solution Architecture – Current AngularJS
- 22. Thoughts Behind the Changes Existing APIs made AngularJS as obvious choice for Web App Offloading certain calls to Nginx for Smart response caching Hazelcast can handle complex queries as well. Handling things asynchronously can save a lot of precious resources Server level optimizations Improves performance from same H/W Spark, Kafka, Hadoop-YARN, Cassandra combination good for real time/batch aggregations & calculations. Developers needed an integrated consistent environment on local machines Docker
- 23. And The Learning Continues… 150+ servers with 5 different environments MySql or Percona or AWS Aurora or Vitess or … MongoDB Improvements (Read-Write Separation, Replication and Sharding) Grails 3 Spring Boot Real-time monitoring & pro-active corrections across multitude of services and 3rd party dependencies
- 24. And It’s relentless Faster encoding mechanisms for better live streaming & viewing experience Better resilience for surges Intelligent and self-learning Personalization More Data Driven decisions Monetization possibilities and experiments
- 25. For Video Domain enthusiast
- 26. For Video Domain enthusiast (Behind the scenes)
- 29. Other Sources
- 31. Contents What is #fame? The Solution Some Key Components The Need Evolution/Future
- 32. Live Steaming And Chat
- 33. Live Steaming And Chat- Technology making it possible
- 34. Search
- 35. Live Steaming And Chat- Technology making it possible
- 36. Contents What is #fame? The Solution Some Key Components The Need Evolution/Future
- 37. The Road Ahead Regionalization Monetization Private Beams Gamification Collaborative Beams Gratification
- 38. Rishabhjain15