Case Study: Meesho achieves real-time scalability and 3x sale-day load handling with Confluent Cloud

Meesho Democratizes E-commerce with Real-Time Data Streaming from Confluent

Meesho, India’s fast‑growing e‑commerce marketplace with over 140 million annual active users, faced severe scaling and operational challenges after shifting from B2B to B2C—its Apache Kafka deployment struggled with massive throughput spikes during sales. To avoid spending engineering cycles on infra management, Meesho partnered with Confluent and adopted Confluent Cloud (with Schema Registry) to provide a scalable, resilient streaming platform.

Confluent implemented an elastic, central ingestion layer that automatically scales to absorb peak loads (handling up to ~1M requests/second) and eliminated manual cluster management. As a result, Confluent enabled Meesho to handle 3x the load on regular sale days, minimize operational burden, accelerate time to market, improve cost efficiency via pay‑as‑you‑go pricing, and power real‑time personalization and recommendation capabilities that reduced order returns. Confluent’s solution freed engineering teams to focus on product innovation and growth.

Meesho

Alok Sharma

Director of Engineering