SpectraDash Backend

This Backend API project was designed to solve complex challenges in scalability and performance. The system architecture was carefully planned to handle high traffic loads while maintaining responsiveness and data integrity.

One of the key technical challenges was implementing an efficient caching strategy that would reduce database load while ensuring data consistency. We solved this by using a multi-layered caching approach with Redis for hot data and implemented cache invalidation patterns.

The project was deployed using a containerized approach with Docker and Kubernetes, allowing for seamless scaling and deployment across multiple environments. Continuous integration and deployment pipelines were set up to ensure code quality and rapid iteration.