Cloud Storage Engineering Deep-Dive

FileHive

AES-256 encrypted cloud storage platform with nested folder management and Redis-powered caching. Containerized with Docker and deployed via GitHub Actions CI/CD.

FileHive system architecture showcase screenshot

98.4%

Cache Hit Ratio

50MB/s

Upload Throughput

99/100

Lighthouse Score

10,000+

Assets Managed

Executive Overview

FileHive provides secure, enterprise-grade cloud file management featuring client-side and server-side AES-256 encryption, granular sharing permissions, dynamic folder nesting, and sub-10ms Redis metadata caching.

Problem Statement & Objective

Traditional cloud file storage platforms often expose raw unencrypted user files to cloud storage providers, lack granular access controls, and slow down under heavy directory navigation.

System Architecture & Data Flow

Decoupled architecture with React single-page application client, Express REST API Gateway, Redis in-memory cache, Cloudinary media storage, and Docker containerization.

Database Design & Schemas

Hierarchical adjacency list schema in MongoDB for nested directory trees, paired with Redis key-value hashing for sub-10ms directory listings.

Key Engineering Features

  • AES-256 Client-Side File Encryption & Integrity Verification
  • Nested Directory Hierarchy & Dynamic Search
  • Sub-10ms Metadata Caching via Redis
  • Automated GitHub Actions CI/CD Pipeline
  • Instant File Sharing & Expiration Link Controls

Primary Engineering Challenge

Handling multi-gigabyte file chunk uploads without exhausting server memory or timing out Node.js connection pools.

Implemented Technical Solution

Implemented streaming chunked multipart uploads directly to cloud storage buckets, completely bypassing server RAM bottlenecks.

Security Controls

Client-side AES-256 key derivation using PBKDF2, strict CORS policies, and expiring access tokens.

Scalability Strategy

Stateless API instances containerized with Docker, leveraging Redis for session sharing and Cloudinary CDN for global media delivery.

Key Technical Takeaways

Streaming uploads directly to cloud storage reduces server memory usage by 95% during large file operations.

Future Roadmap & Improvements

Add client-side folder ZIP compression before upload and support team organization workspaces.