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How did Disney+ Hotstar survive 59,000,000 concurrent viewers during a single live cricket match without crashing? Actual Blog: https://blog.hotstar.com/scaling-infr... During major live sports events, platforms like Hotstar India / Jio Hotstar face traffic spikes that can take down normal backend systems. In this video, we break down how Hotstar handled massive scale, what could have gone wrong, and how modern cloud architecture saved the day. This isn’t theory we deep-dive into real backend engineering concepts used to handle live sports streaming on Hotstar, including: How Kubernetes (EKS) scales pods during sudden traffic bursts Why NAT Gateways become a silent bottleneck at scale Handling millions of concurrent TCP connections Traffic shaping, load balancing, and horizontal autoscaling Why IP exhaustion can crash large Kubernetes clusters Lessons applicable to Netflix vs Hotstar, Hotstar vs Amazon Prime, and Jio Hotstar architecture Whether you’re curious about: Live sports on Hotstar Backend systems behind OTT platforms Netflix vs Hotstar scalability This video explains what really happens behind the scenes when 59 million users hit a backend at the same time. If you’re a backend engineer, DevOps engineer, cloud architect, or just someone curious about how massive systems survive peak load, this breakdown will change how you look at streaming platforms. #backend #backenddevelopment #education #hotstar #kubernetes #aws