Cloud-Native Social Polling Application

I led the development of a  cloud-native social polling application for a client who needed a highly resilient and scalable platform to handle user-generated polls and real-time voting. The goal was to build a modern, microservices-based application that could easily scale to millions of users.

My approach was to design the application using a containerized architecture and deploy it on Google Kubernetes Engine (GKE). This allowed for seamless scaling and fault tolerance, ensuring the application could handle unexpected traffic surges without downtime. The application's backend was built as a series of independent microservices, each handling a specific function like poll creation, user authentication, or real-time voting.

For the database, I chose Cloud Firestore for its real-time capabilities, which provided instant updates for voting results. The user authentication was handled by the Google Identity Platform, which simplified the security and user management aspects of the project. The final product was a high-performance, resilient, and scalable application that perfectly met the client's specifications and provided a modern, secure user experience.