Real-Time Voting Application with Microservices
A microservices-based online voting application where votes are temporarily stored in Redis, processed by a worker, and results displayed in real time.
Overview
2025,
Usecase
In today's digital age, applications must be fast, scalable, and responsive. Our Real-Time Voting Application with Microservices is a case study in building such a system. It's a robust, containerized, and event-driven online voting platform that leverages a microservices architecture to handle high volumes of real-time data with ease. By separating core functionalities into independent services and orchestrating them with a modern CI/CD pipeline, we've created a solution that is not only scalable and resilient but also easy to manage and deploy.
Process
The application is built on three core microservices, each with a specific purpose, working in concert to deliver a seamless voting experience.
Vote Service: This service is the user-facing component. When a user casts a vote, it is temporarily stored in a Redis cache. This approach ensures that the application can handle massive, rapid bursts of traffic without overwhelming the main database.
Worker Service: Operating in the background, the Worker service continuously polls the Redis cache for new votes. It then processes these votes and persists them into a PostgreSQL database, ensuring data durability and integrity.
Result Service: This service provides the real-time results. It reads the latest vote counts from the database and updates the user interface instantly, providing a live and accurate view of the voting progress.
Deployment & Scalability: The entire system is containerized with Docker and deployed on Kubernetes (AKS). An automated CI/CD pipeline, built with GitHub Actions and ArgoCD, ensures that code changes are continuously integrated and delivered, enabling a rapid, secure, and repeatable deployment process.
Outcome
The project successfully delivers a scalable, real-time voting application that serves as a prime example of cloud-native microservices and DevOps practices. The separation of concerns within the microservices architecture, combined with the power of Redis and PostgreSQL, allows the application to remain highly responsive and reliable, even under heavy load. The automated CI/CD pipeline significantly reduces deployment friction, enabling teams to push updates with confidence. This solution demonstrates a robust, modern approach to building and deploying applications, ensuring high availability and a seamless user experience.
Prathyusha
Cloud DevOps Engineer
2025,
Case-Study
