Key Changes that Disney+ Hotstar made to ensure Scalability
Disney+ Hotstar for live streaming they follow effective system designs:
- Hotstar built faster streaming pipelines for consumption analytics, else it will directly affect the quality of the broadcast.
- They have ensure that all bad data is discarded—that is, if there are too many bad events, it will impact the analytics, which can further lead to hampering key data-driven business decisions.
- Next, they have proper metrics used for autoscaling. In the event that this is not the case, the application will fail to respond to sudden load.
- They have used microservices and event-driven architectures with message brokers like Kafka.
- They use decouple applications so there is minimum impact of one system to another.
How Did Hotstar Managed 5.9 Cr Viewers During World Cup’23?
In the recent Mens Cricket World Cup 2023, Disney+ Hotstar reached a whooping record viewership of 5.9 Cr. But in the online streaming industry, where some platforms crash even for 3 Cr. viewers, how did Hotstar manage to scale even for such a large count of users? So for all curious developers and readers out there, we have brought this deconstruction of the Disney+ Hotstar streaming platform to help you gain insights on how to develop and scale streaming platforms for a very high amount of users.
Table of Content
- What is Disney+ Hotstar?
- How did Disney+ Hotstar manage 5.9 Cr. viewers during the live stream?
- How Disney+ Hotstar store the data in there Database?
- Why did other streaming platforms crash during livestream but Disney+ Hotstar didn’t fail?
- Key Changes that Disney+ Hotstar made to ensure Scalability
Contact Us