plexus/docs/scalability.md

Thinking Bigger: Scalability & Future Roadmap

Plexus is currently a robust MVP, but to scale to millions of users, we need to consider several architectural improvements.

🚀 Scalability Improvements

1. Backend Scaling

• Load Balancing: Use Nginx or HAProxy to distribute traffic across multiple Node.js instances.
• Redis for Pub/Sub: Currently, Socket.IO broadcasts are limited to a single server. Integrating Redis will allow broadcasting across multiple server instances.
• Database Sharding: As the message history grows, sharding DuckDB or migrating to a distributed database like CockroachDB or ClickHouse (for analytics) may be necessary.

2. Frontend Performance

• Code Splitting: Use Vite's code-splitting features to reduce initial load times.
• Service Workers: Implement PWA features for offline support and push notifications.
• Virtual Scrolling: For channels with thousands of messages, implement virtual scrolling to maintain UI performance.

🛠 Advanced Tooling

1. CI/CD Pipeline

• GitHub Actions: Automate linting, testing, and deployment.
• Automated Testing: Expand test coverage with Playwright for E2E testing and Vitest for unit testing.

2. Monitoring & Logging

• Prometheus & Grafana: Track server performance and user metrics.
• Sentry: Real-time error tracking and reporting.

🌐 Decentralization Roadmap

• IPFS Integration: Store media files and message history on IPFS for true decentralization.
• Smart Contracts: Move the $PLEXUS transaction logic to on-chain Solana programs.
• DAO Governance: Implement a DAO to allow users to vote on protocol changes.