Cloud-Based File and Image Processing System
Developed a cloud-native image processing system using Go, Docker, and Kubernetes. The service supports file uploads, image transformations, and microservice-based deployment via Minikube.
Technologies Used
Overview This personal project demonstrates a cloud-native image processing service developed in Go. The system is designed to receive image files via API endpoints, perform processing operations (such as resizing or format conversion), and return the results to the client. It is containerized with Docker and deployed using Kubernetes via Minikube for local orchestration.
Key Features
Built using Go for high-performance backend processing
API endpoints for uploading and processing image files
Image transformations: resizing, filtering, or format changes
Dockerized microservice architecture for portability and reproducibility
Deployed using Kubernetes and Minikube for local development and testing
System Design
Microservices architecture with decoupled components for upload, processing, and delivery
RESTful interface for client interaction
Containerized services orchestrated via Kubernetes for local scalability
Easily extendable for more advanced workflows or external cloud deployment (e.g., AWS, GCP)