In Vietnam's traditional education model, English learning was often limited to physical classroom time. While students practiced at home, the process was disconnected from their teachers and parents. There was no simple way for parents to track daily engagement. Teachers had to wait for the next class to review work or assess progress. Student data was fragmented, and insights were only available periodically during scheduled teacher meetings.

The Vietnamese American Association (VUS), a leading English language training organization, set out to solve this with OVI, its integrated digital learning ecosystem (OVI stands for O: Outcomes-oriented and Opening up to online x offline, V: powered by VUS, with the goal of I: Individuality - aiming at personalization for each user). The goal was to create a single, integrated digital platform to link students, parents, and teachers. This platform would enable students to practice skills and review lessons from home, while giving parents and teachers a way to see and support that progress in real time.

This vision required a highly scalable and resilient architecture. VUS has more than 80,000 students, so its platform had to be architected from day one to support tens of thousands of concurrent users. It needed to handle real-time quiz interactions, data synchronization, and video streaming without fail. On a traditional infrastructure, this scale posed a challenge. The team knew that peak enrollment periods could easily cause system downtime or severe latency, breaking trust in the new ecosystem.

VUS needed a serverless, autoscaling, and globally reliable foundation. With this in mind, it sought a solution that offered a comprehensive and integrated ecosystem for data, AI, and application delivery.