Performance

Optimized for speed, efficiency, and scale with smooth user experience and high message volumes

Stork SMS is optimized for speed, efficiency, and scale. Our performance architecture ensures smooth user experience while handling high message volumes and maintaining security.

Performance Metrics

Current Benchmarks

Metric	Target	Achieved	Notes
Message Delivery	<500ms	~200ms	End-to-end encrypted message delivery
Chat Loading	<1s	~400ms	Full chat history with last 50 messages
NFT Creation	<5s	~3s	Dual NFT generation on Solana
File Upload	<2s	~1.5s	5MB image upload to R2 storage
Voice Message	<1s	~800ms	Audio encoding and upload
Real-time Updates	<100ms	~50ms	WebSocket message propagation

Core Web Vitals

• Largest Contentful Paint (LCP): <2.5s
• First Input Delay (FID): <100ms
• Cumulative Layout Shift (CLS): <0.1
• First Contentful Paint (FCP): <1.8s
• Time to Interactive (TTI): <3.5s

Frontend Performance

Next.js Optimizations

Server-Side Rendering (SSR)

• Chat List: Pre-rendered for faster initial load
• Static Assets: Optimized bundling and compression
• Code Splitting: Automatic route-based splitting
• Image Optimization: WebP conversion and responsive images

// Automatic image optimization
import Image from 'next/image'

<Image
  src="/stork-logo.svg"
  alt="Stork SMS"
  width={200}
  height={100}
  priority // LCP optimization
  placeholder="blur" // Smooth loading
/>

Bundle Optimization

• Tree Shaking: Unused code elimination
• Dynamic Imports: Lazy loading of heavy components
• Webpack Optimization: Custom bundle splitting

// Dynamic component loading
const VoiceRecorder = dynamic(() => import('./VoiceRecorder'), {
  loading: () => <div>Loading recorder...</div>,
  ssr: false // Client-side only
});

React Performance

Component Optimization

• React.memo: Prevent unnecessary re-renders
• useMemo: Expensive calculation caching
• useCallback: Function reference stability
• Virtual Scrolling: Large message list optimization

// Optimized message component
const MessageBubble = React.memo(({ message, isOwn }) => {
  const decryptedContent = useMemo(() => 
    decryptMessage(message.encryptedContent), 
    [message.encryptedContent]
  );
  
  return <div className={isOwn ? 'own-message' : 'other-message'}>
    {decryptedContent}
  </div>;
});

State Management

• Context Optimization: Split contexts to minimize renders
• Local State: Prefer local state over global when possible
• Batch Updates: Group state updates to reduce renders

Real-time Performance

WebSocket Optimization

• Connection Pooling: Reuse WebSocket connections
• Message Batching: Group frequent updates
• Selective Subscriptions: Subscribe only to active chats

// Optimized real-time subscription
const useMessagesSubscription = (chatId: string, isActive: boolean) => {
  useEffect(() => {
    if (!isActive) return; // Only subscribe to active chats
    
    const subscription = supabase
      .channel(`messages:${chatId}`)
      .on('postgres_changes', 
        { event: 'INSERT', schema: 'public', table: 'messages' },
        handleNewMessage
      )
      .subscribe();
    
    return () => subscription.unsubscribe();
  }, [chatId, isActive]);
};

Backend Performance

API Optimization

Response Time Targets

• Authentication: <200ms
• Message Creation: <300ms
• Chat Retrieval: <400ms
• NFT Generation: <3s
• File Upload: <2s

Caching Strategy

• Memory Caching: Frequently accessed data
• CDN Caching: Static assets and images
• Database Query Caching: Repeated queries

// API route with caching
export async function GET(request: NextRequest) {
  const cacheKey = `chat:${chatId}`;
  
  // Check memory cache first
  let chatData = cache.get(cacheKey);
  
  if (!chatData) {
    chatData = await fetchChatFromDB(chatId);
    cache.set(cacheKey, chatData, { ttl: 300 }); // 5 min cache
  }
  
  return Response.json(chatData);
}

Request Optimization

• Connection Pooling: Efficient database connections
• Query Batching: Multiple operations in single request
• Parallel Processing: Concurrent API calls where possible

Database Performance

Query Optimization

• Index Usage: Strategic indexing for common patterns
• Query Planning: Explain analyze for slow queries
• Connection Limits: Proper pool sizing

-- Optimized chat retrieval with indexes
EXPLAIN ANALYZE
SELECT c.*, m.encrypted_content as last_message
FROM chats c
LEFT JOIN LATERAL (
    SELECT encrypted_content 
    FROM messages 
    WHERE chat_id = c.id 
    ORDER BY created_at DESC 
    LIMIT 1
) m ON true
WHERE c.sender_wallet = $1 OR c.recipient_wallet = $1
ORDER BY c.updated_at DESC;

-- Uses indexes: idx_chats_sender_wallet, idx_chats_recipient_wallet

Database Monitoring

• Slow Query Log: Queries >1s automatically logged
• Connection Pool: Monitor active connections
• Index Usage: Track unused and missing indexes

Blockchain Performance

Solana Optimization

Transaction Efficiency

• Compressed NFTs: 99% cost reduction
• Batch Operations: Multiple NFTs per transaction
• Priority Fees: Dynamic fee calculation for speed

// Optimized NFT creation with priority fees
const createNFTTransaction = async (metadata: NFTMetadata) => {
  const priorityFee = await getDynamicPriorityFee();
  
  const transaction = new Transaction()
    .add(
      ComputeBudgetProgram.setComputeUnitPrice({
        microLamports: priorityFee
      })
    )
    .add(createNFTInstruction);
  
  return transaction;
};

RPC Optimization

• Endpoint Selection: Choose fastest available RPC
• Request Batching: Group multiple RPC calls
• Fallback Strategy: Automatic failover to backup RPCs

// RPC with fallback and performance monitoring
class OptimizedRPCClient {
  private endpoints = [
    'https://api.mainnet-beta.solana.com',
    'https://solana-api.projectserum.com',
    'https://rpc.ankr.com/solana'
  ];
  
  async sendTransaction(transaction: Transaction) {
    for (const endpoint of this.endpoints) {
      try {
        const startTime = performance.now();
        const result = await this.send(endpoint, transaction);
        const latency = performance.now() - startTime;
        
        this.recordMetric(endpoint, latency);
        return result;
      } catch (error) {
        console.warn(`RPC ${endpoint} failed, trying next...`);
      }
    }
    throw new Error('All RPC endpoints failed');
  }
}

File Storage Performance

Cloudflare R2 Optimization

Upload Strategy

• Direct Upload: Client-to-R2 direct uploads
• Presigned URLs: Secure, time-limited upload URLs
• Multipart Upload: Large file optimization
• Progress Tracking: Real-time upload feedback

// Optimized file upload with progress
const uploadFile = async (file: File, onProgress?: (progress: number) => void) => {
  const uploadUrl = await getPresignedUploadUrl(file.name, file.type);
  
  return new Promise((resolve, reject) => {
    const xhr = new XMLHttpRequest();
    
    xhr.upload.onprogress = (event) => {
      if (event.lengthComputable && onProgress) {
        onProgress((event.loaded / event.total) * 100);
      }
    };
    
    xhr.onload = () => resolve(xhr.response);
    xhr.onerror = () => reject(xhr.statusText);
    
    xhr.open('PUT', uploadUrl);
    xhr.send(file);
  });
};

CDN Performance

• Global Distribution: 200+ edge locations
• Automatic Compression: Gzip/Brotli compression
• Smart Caching: Intelligent cache headers
• WebP Conversion: Automatic format optimization

Memory Management

Client-Side Memory

Message Caching

• LRU Cache: Least Recently Used eviction
• Memory Limits: 50MB chat history cache
• Smart Preloading: Preload likely-needed data

// Efficient message cache with size limits
class MessageCache {
  private cache = new Map<string, Message[]>();
  private maxSize = 50 * 1024 * 1024; // 50MB
  private currentSize = 0;
  
  set(chatId: string, messages: Message[]) {
    const size = this.calculateSize(messages);
    
    // Evict if necessary
    while (this.currentSize + size > this.maxSize) {
      this.evictOldest();
    }
    
    this.cache.set(chatId, messages);
    this.currentSize += size;
  }
  
  private evictOldest() {
    const [oldestKey] = this.cache.keys();
    const oldestMessages = this.cache.get(oldestKey);
    this.cache.delete(oldestKey);
    this.currentSize -= this.calculateSize(oldestMessages);
  }
}

Garbage Collection

• WeakMap Usage: Automatic cleanup of references
• Event Cleanup: Remove event listeners properly
• Timer Cleanup: Clear intervals and timeouts

Server-Side Memory

Node.js Optimization

• Heap Size: Optimized for expected load
• Garbage Collection: Tuned GC parameters
• Memory Leaks: Regular monitoring and detection

Network Optimization

Request Optimization

HTTP/2 Benefits

• Multiplexing: Multiple requests per connection
• Header Compression: Reduced overhead
• Server Push: Proactive resource delivery

GraphQL-style Batching

// Batch multiple API calls into single request
const batchRequests = async (requests: APIRequest[]) => {
  const response = await fetch('/api/batch', {
    method: 'POST',
    body: JSON.stringify({ requests }),
    headers: { 'Content-Type': 'application/json' }
  });
  
  return response.json();
};

Compression

• Gzip: Text content compression
• Brotli: Better compression for modern browsers
• Image Optimization: WebP, AVIF format support

Monitoring & Analytics

Performance Monitoring

Real User Monitoring (RUM)

• Core Web Vitals: Automatic collection
• Custom Metrics: Message delivery times
• Error Tracking: Performance-related errors

Synthetic Monitoring

• Uptime Checks: 24/7 availability monitoring
• Performance Tests: Regular automated testing
• Load Testing: Capacity planning

Metrics Collection

Frontend Metrics

// Custom performance metrics
const trackMessageDelivery = (startTime: number) => {
  const deliveryTime = performance.now() - startTime;
  
  analytics.track('message_delivery_time', {
    duration: deliveryTime,
    timestamp: Date.now()
  });
};

Backend Metrics

// API performance tracking
const trackAPIPerformance = (endpoint: string, duration: number) => {
  metrics.histogram('api_request_duration', duration, {
    endpoint,
    status: 'success'
  });
};

Optimization Roadmap

Short-term Improvements (Q1 2025)

• Service Worker: Offline message caching
• WebAssembly: Faster encryption/decryption
• IndexedDB: Client-side message storage
• Image Lazy Loading: Reduce initial bundle size

Medium-term Improvements (Q2-Q3 2025)

• Edge Computing: Cloudflare Workers for API
• Database Sharding: Horizontal scaling
• Redis Caching: Advanced caching layer
• CDN Optimization: Smart asset delivery

Long-term Improvements (Q4 2025+)

• Global Database: Multi-region replication
• AI Optimization: Smart prefetching
• Advanced Compression: Custom algorithms
• Hardware Acceleration: GPU-based encryption

Performance Best Practices

Development Guidelines

• Measure First: Always profile before optimizing
• User-Centric: Focus on user-perceived performance
• Progressive Enhancement: Core functionality first
• Lazy Loading: Load features when needed
• Bundle Analysis: Regular bundle size monitoring

Deployment Optimization

• Asset Minification: Compress all assets
• Tree Shaking: Remove unused code
• Code Splitting: Route-based chunking
• Preloading: Critical resource hints
• Monitoring: Continuous performance tracking

Testing Strategy

• Load Testing: Simulate high user volumes
• Stress Testing: Find breaking points
• Performance Regression: Automated testing
• Real User Monitoring: Production metrics
• A/B Testing: Performance impact measurement

This comprehensive performance strategy ensures Stork SMS delivers exceptional user experience while scaling efficiently to serve millions of users worldwide.