A simple, lightweight solution for proctoring
Development of a lightweight, browser-based proctoring solution enabling real-time monitoring of student sessions with low latency, featuring screen sharing, webcam, audio capture, and session recording capabilities.
- Framework: React 18+ with TypeScript
- Vite for build tooling (faster than webpack)
- React Query/TanStack Query for server state management
- Zustand for client state (lightweight alternative to Redux)
- UI Components:
- Tailwind CSS + shadcn/ui for consistent, performant styling
- Radix UI for accessible components
- Real-time Communication:
- WebRTC for peer-to-peer video/audio/screen sharing
- Socket.io for signaling and chat
- Video Processing:
- MediaRecorder API for client-side recording
- WebCodecs API for advanced codec control
- Runtime: Node.js 20+ with TypeScript
- Framework: Fastify (faster than Express)
- Fastify-websocket for WebSocket support
- Fastify-cors, fastify-helmet for security
- Real-time Server:
- Socket.io for WebSocket management
- Mediasoup or Pion (Go-based) for SFU (Selective Forwarding Unit)
- Authentication:
- Passport.js with multiple SSO strategies
- JWT for session management
- OAuth 2.0/OIDC support
- Primary Database: PostgreSQL 15+
- Prisma ORM for type-safe database access
- Redis for session storage and caching
- Media Storage:
- MinIO (S3-compatible) for on-premise
- AWS S3/CloudFront for cloud deployment
- Message Queue: Redis Streams or RabbitMQ for job processing
- Containerization: Docker + Docker Compose
- Orchestration: Kubernetes (for production)
- Monitoring: Prometheus + Grafana
- Logging: ELK Stack (Elasticsearch, Logstash, Kibana)
- CDN: CloudFlare for static assets
┌─────────────────────────────────────────────────────────┐
│ Load Balancer │
│ (Nginx/HAProxy) │
└─────────────┬───────────────────────┬───────────────────┘
│ │
┌─────────▼──────────┐ ┌────────▼──────────┐
│ Web Application │ │ WebSocket Server │
│ (Fastify + Next) │ │ (Socket.io) │
└─────────┬──────────┘ └────────┬──────────┘
│ │
┌─────────▼───────────────────────▼──────────┐
│ Media Server (SFU) │
│ (Mediasoup/Pion WebRTC) │
└─────────────────────┬───────────────────────┘
│
┌─────────────────────▼───────────────────────┐
│ Service Layer │
├──────────────────────────────────────────────┤
│ • Auth Service • Session Service │
│ • Recording Service • Analytics Service │
└─────────────────────┬───────────────────────┘
│
┌─────────────────────▼───────────────────────┐
│ Data Layer │
├──────────────────────────────────────────────┤
│ PostgreSQL │ Redis │ MinIO/S3 │
└──────────────────────────────────────────────┘
interface IAuthService {
authenticateSSO(provider: SSOProvider, credentials: ICredentials): Promise<IUser>;
validateSession(token: string): Promise<ISession>;
refreshToken(refreshToken: string): Promise<ITokenPair>;
revokeSession(sessionId: string): Promise<void>;
}
interface ISessionService {
createSession(config: ISessionConfig): Promise<ISession>;
joinSession(sessionId: string, participant: IParticipant): Promise<void>;
startMonitoring(sessionId: string): Promise<void>;
endSession(sessionId: string): Promise<void>;
getActiveSession(sessionId: string): Promise<ISessionDetails>;
}
interface IMediaService {
initializeStream(config: IStreamConfig): Promise<IMediaStream>;
handleOffer(offer: RTCSessionDescription): Promise<RTCSessionDescription>;
processMediaTrack(track: MediaStreamTrack): Promise<void>;
startRecording(sessionId: string): Promise<void>;
stopRecording(sessionId: string): Promise<IRecording>;
}
-
Project Setup
- Initialize monorepo structure (Nx or Turborepo)
- Configure TypeScript, ESLint, Prettier
- Setup Docker development environment
- Initialize CI/CD pipeline
-
Database Design
-- Core tables users (id, email, name, role, sso_provider, created_at) sessions (id, proctor_id, title, scheduled_at, status) participants (id, session_id, user_id, joined_at, left_at) recordings (id, session_id, file_path, duration, size) chat_messages (id, session_id, sender_id, message, timestamp)
-
Authentication System
- Implement SSO with Google, Microsoft, SAML 2.0
- JWT token management
- Role-based access control (RBAC)
- Session persistence with Redis
-
Homepage & Navigation
- Landing page with feature overview
- Dynamic routing based on user role
- Responsive design implementation
-
Proctor Dashboard
class ProctorDashboard { private sessionManager: ISessionManager; private analyticsService: IAnalyticsService; async getUpcomingSessions(): Promise<ISession[]>; async createSession(config: ISessionConfig): Promise<ISession>; async viewSessionHistory(): Promise<ISessionHistory[]>; async generateReport(sessionId: string): Promise<IReport>; }
-
Student Lobby
class StudentLobby { private websocketClient: IWebSocketClient; private mediaDeviceManager: IMediaDeviceManager; async joinLobby(sessionCode: string): Promise<void>; async testDevices(): Promise<IDeviceTestResult>; async waitForProctor(): Promise<void>; onSessionStart(callback: () => void): void; }
-
WebRTC Implementation
class WebRTCManager { private peerConnection: RTCPeerConnection; private localStream: MediaStream; private remoteStreams: Map<string, MediaStream>; async initializeConnection(config: RTCConfiguration): Promise<void>; async shareScreen(): Promise<MediaStream>; async shareWebcam(): Promise<MediaStream>; async shareAudio(): Promise<MediaStream>; handleICECandidate(candidate: RTCIceCandidate): void; }
-
Screen & Media Capture
- Implement screen capture with getDisplayMedia()
- Webcam capture with getUserMedia()
- Audio capture and noise suppression
- Bandwidth adaptation for quality optimization
-
Real-time Chat
class ChatService { private socket: Socket; private messageQueue: IMessage[]; sendMessage(message: string): void; onMessageReceived(callback: (msg: IMessage) => void): void; getMessageHistory(sessionId: string): Promise<IMessage[]>; }
-
Session Recording
class RecordingService { private mediaRecorder: MediaRecorder; private chunks: Blob[]; async startRecording(streams: MediaStream[]): Promise<void>; async stopRecording(): Promise<Blob>; async uploadRecording(blob: Blob, metadata: IMetadata): Promise<string>; async compressVideo(input: Blob): Promise<Blob>; // Using WebCodecs }
-
Storage Implementation
- Implement chunked upload for large files
- Video compression using H.264/VP9
- Metadata extraction and indexing
- Secure URL generation for playback
-
Performance Optimization
- Implement lazy loading and code splitting
- Optimize WebRTC with simulcast
- Add Redis caching layer
- Database query optimization
-
Scalability Features
- Horizontal scaling with Kubernetes
- Load balancing for media servers
- CDN integration for static assets
- Auto-scaling based on metrics
-
Testing Strategy
- Unit tests with Jest
- Integration tests with Cypress
- Load testing with K6
- Security testing with OWASP ZAP
-
Deployment
- Production Docker images
- Kubernetes manifests
- SSL/TLS configuration
- Monitoring and alerting setup
// Single Responsibility
class SessionRecorder {
record(stream: MediaStream): void { /* recording logic */ }
}
class SessionStorage {
save(recording: Blob): Promise<string> { /* storage logic */ }
}
// Open/Closed Principle
interface IAuthProvider {
authenticate(credentials: any): Promise<IUser>;
}
class GoogleAuthProvider implements IAuthProvider { }
class MicrosoftAuthProvider implements IAuthProvider { }
// Liskov Substitution
abstract class BaseMonitor {
abstract startMonitoring(): void;
}
class ScreenMonitor extends BaseMonitor { }
class WebcamMonitor extends BaseMonitor { }
// Interface Segregation
interface IReadableSession {
getDetails(): ISessionDetails;
}
interface IWritableSession {
updateStatus(status: SessionStatus): void;
}
// Dependency Inversion
class SessionController {
constructor(
private sessionService: ISessionService,
private notificationService: INotificationService
) {}
}
// DRY - Reusable hook for media devices
const useMediaDevice = (constraints: MediaStreamConstraints) => {
const [stream, setStream] = useState<MediaStream>();
const [error, setError] = useState<Error>();
useEffect(() => {
navigator.mediaDevices.getUserMedia(constraints)
.then(setStream)
.catch(setError);
}, [constraints]);
return { stream, error };
};
// KISS - Simple state management
const sessionStore = create<SessionState>((set) => ({
session: null,
setSession: (session) => set({ session }),
clearSession: () => set({ session: null })
}));
- End-to-end encryption for media streams
- DTLS-SRTP for WebRTC security
- Rate limiting on API endpoints
- Input validation and sanitization
- CORS configuration with whitelisting
- CSP headers for XSS protection
- SQL injection prevention with parameterized queries
- Session hijacking prevention with secure cookies
- Connection establishment: < 3 seconds
- Stream latency: < 500ms
- Video quality: 720p @ 30fps minimum
- Audio latency: < 200ms
- Recording compression: 60% size reduction
- Concurrent sessions: 1000+ per server
- API response time: < 100ms p95
- Uptime: 99.9% availability
Phase | Duration | Deliverables |
---|---|---|
Foundation | 3 weeks | Auth system, Database, CI/CD |
Core Features | 3 weeks | Dashboard, Lobby, Navigation |
Real-time | 4 weeks | WebRTC, Chat, Monitoring |
Recording | 2 weeks | Recording, Storage, Playback |
Optimization | 2 weeks | Performance, Scaling |
Testing & Deploy | 2 weeks | Tests, Documentation, Deployment |
Total Timeline: 16 weeks (4 months)
- 1 Tech Lead - Architecture decisions, code reviews
- 2 Backend Engineers - API, WebRTC, Services
- 2 Frontend Engineers - UI/UX, Real-time features
- 1 DevOps Engineer - Infrastructure, CI/CD
- 1 QA Engineer - Testing strategy, automation
- WebRTC complexity → Use established libraries (Mediasoup)
- Scaling challenges → Start with SFU architecture
- Browser compatibility → Progressive enhancement approach
- Network reliability → Implement reconnection logic
- Storage costs → Implement retention policies
- Successfully monitor 100+ concurrent sessions
- Achieve < 1% packet loss in normal conditions
- Record and playback sessions without quality degradation
- Maintain sub-second latency for real-time features
- Pass security audit and penetration testing
- Achieve 95% user satisfaction score
This plan provides a comprehensive roadmap for developing a robust, scalable, and performant proctoring solution. The architecture emphasizes modern web technologies, clean code principles, and user experience while maintaining security and reliability as core priorities.