Case Study: Apna boosts hiring platform performance and personalization with MongoDB Atlas

Apna reduces incidents by 90% with MongoDB Atlas

Apna, a leading Indian jobs and professional networking platform, faced significant scalability and performance challenges with its monolithic architecture and PostgreSQL database as it grew to serve 30 million users. This infrastructure led to outages, high maintenance costs, and hindered the rapid development of new features needed to connect job seekers with local opportunities. To overcome these limitations, Apna sought a cloud-based database solution that could support its new microservices architecture.

By implementing MongoDB Atlas, Apna gained a highly reliable and scalable primary database. The results were transformative, including a 90% reduction in production incidents and a 40% increase in developer productivity. MongoDB provided the performance to handle millions of users and the flexibility to quickly iterate on new features, allowing Apna to focus on creating a more personalized experience for its users and exploring new data-driven initiatives to address unemployment.

Apna