Build a Hybrid Cloud-Based Document Management System
Combine the flexibility of public cloud and the security of private infrastructure to create a reliable and scalable document management system for enterprise use.Enterprises often need to balance cost efficiency and data privacy. A hybrid cloud solution enables storing sensitive documents on private infrastructure while using public cloud for scalability, backups, and accessibility — all managed through a unified interface.
Design a file management platform where users can upload, tag, retrieve, and securely share documents. The system should decide whether to store files on private servers or public cloud based on sensitivity and storage rules.
Smart Storage Routing
Classify files during upload and route them to either public (AWS S3, GCP) or private (on-prem/local server) storage based on access levels.
Secure File Upload and Access
Encrypt files during transit and at rest, enforce role-based access, and track access logs.
Metadata Tagging & Search
Allow tagging of documents with type, department, and confidentiality level. Enable full-text search and filters.
Hybrid Sync and Backup
Ensure data is backed up between private and public cloud. Sync documents or share via signed links.
The frontend allows users to upload or request documents. A backend microservice classifies and stores files either in private servers or public cloud buckets. Metadata is saved in a central database, and a search engine indexes all content for discovery.
- Frontend: React.js/Next.js file upload UI
- Backend: Node.js or Flask API for file routing and metadata handling
- Storage: AWS S3 / Azure Blob (public) + local server / NAS (private)
- Database: MongoDB or PostgreSQL for user profiles and file metadata
- Search: ElasticSearch or MeiliSearch for fast document retrieval
Frontend
React.js or Next.js with drag-and-drop file upload and tagging interface
Backend
Node.js + Express / Python Flask API with authentication and storage logic
Storage & Sync
AWS S3 / Azure + rsync/NFS for private, or MinIO as self-hosted S3-compatible storage
Search & Metadata
ElasticSearch or MeiliSearch with MongoDB/PostgreSQL
1. Design Storage Rules
Create policies that define which files go to public or private storage based on tags or user roles.
2. Implement Upload & Classification
Build an upload form with tagging and classification logic that sends files to the correct backend.
3. Set Up Storage Connectors
Integrate S3 APIs and private file server protocols (NFS, MinIO, or local disk access).
4. Enable Search and Access Control
Securely fetch files and search through metadata or content using full-text engines.
5. Add Sync, Backup & Audit Logs
Automate backup jobs, file sync across environments, and maintain logs for compliance.
Balance Security and Scalability with Hybrid Storage
Empower your users with secure, flexible, and scalable access to documents through a hybrid cloud-powered file management solution.
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