Big billion scale: Scaling high-performance platforms at Flipkart
Flipkart relies on Aerospike as its datastore and caching solution for critical, low-latency use cases like search, recommendations, inventory, pricing, and offers. During sales, the platform handles 90 million QPS across 350+ clusters on a shared, bare-metal Kubernetes environment powered by the Aerospike Kubernetes Operator.
In this session, Aditya Goyal and Sahil Jain share Flipkart’s journey—detailing the strategies, challenges, and optimizations behind operating Aerospike reliably at “Big Billion” scale.
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Learn how Flipkart powers real-time use cases across its ecosystem.
See how Aerospike Kubernetes Operator supports scale and reliability.
Explore the architectural decisions that enable 90M QPS performance.
👉 Access the full session now and get an inside look at how Flipkart operates at true internet scale.
Big billion scale: Scaling high-performance platforms at Flipkart
Flipkart relies on Aerospike as its datastore and caching solution for critical, low-latency use cases like search, recommendations, inventory, pricing, and offers. During sales, the platform handles 90 million QPS across 350+ clusters on a shared, bare-metal Kubernetes environment powered by the Aerospike Kubernetes Operator.
In this session, Aditya Goyal and Sahil Jain share Flipkart’s journey—detailing the strategies, challenges, and optimizations behind operating Aerospike reliably at “Big Billion” scale.
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