Case Study: Apna achieves resilient, low-latency job search experiences with Redis Cloud

Apna Empowers India’s Job Seekers With Redis Cloud’s Resiliency and Low Latency

Apna, India’s fast-growing job search and professional networking platform, needed a high-performance caching solution to handle billions of rows of data and up to 50,000 read/write operations per second. As traffic surged, latency and outages in its existing setup were contributing to customer churn, creating a need for a more resilient and low-latency platform.

Redis implemented Redis Cloud for Apna, using cache prefetching to speed up job search queries and support millions of job listings, while also powering feeds, notifications, session management, and authentication. The result was a more seamless user experience with no lag time, plus 15% to 20% lower costs than other caching options, stronger reliability, and improved developer productivity as Apna scaled to 32 Redis clusters in Google Cloud.

Apna

Suresh Khemka

Head of Platform Engineering and Infrastructure