Skip to content

PERFORMANCE_OPTIMIZATION_GUIDE.md

Latest commit

 

History

History
305 lines (246 loc) · 8.3 KB

PERFORMANCE_OPTIMIZATION_GUIDE.md

File metadata and controls

305 lines (246 loc) · 8.3 KB

WeWrite Performance Optimization Guide

Overview

This guide consolidates all performance optimization best practices for WeWrite, based on successful optimizations that achieved 90% reduction in database costs and significant performance improvements.

🎯 Key Achievements

Database Cost Reduction (90% improvement)

  • Before: 3,000+ Firebase reads per minute with minimal users
  • After: 300-400 reads per minute with same functionality
  • Savings: $200-300/month in Firebase costs

Performance Improvements

  • API Response Times: 50-70% faster with caching
  • Page Load Times: 40-60% improvement
  • User Experience: Eliminated loading delays and UI flashes

🔧 Core Optimization Strategies

1. API Caching Strategy

Server-Side Caching

// Aggressive caching for stable data
const CACHE_DURATIONS = {
  userProfiles: 5 * 60 * 1000,      // 5 minutes
  recentEdits: 1 * 60 * 1000,       // 1 minute
  searchResults: 10 * 60 * 1000,    // 10 minutes
  pageData: 4 * 60 * 60 * 1000,     // 4 hours
  earnings: 15 * 60 * 1000          // 15 minutes
};

HTTP Cache Headers

// Browser and CDN caching
res.setHeader('Cache-Control', 'public, max-age=300, s-maxage=1800');
res.setHeader('Vary', 'Accept-Encoding');

Implementation Pattern

// Standard caching pattern
const cacheKey = `api_cache:${endpoint}:${userId}:v1`;
const cached = cache.get(cacheKey);
if (cached && (Date.now() - cached.timestamp) < CACHE_TTL) {
  return cached.data;
}
// Fetch fresh data and cache
const freshData = await fetchData();
cache.set(cacheKey, { data: freshData, timestamp: Date.now() });
return freshData;

2. Real-Time Listener Elimination

Before (Expensive)

// Multiple real-time listeners
onSnapshot(collection(db, 'pages'), callback);
onSnapshot(collection(db, 'balances'), callback);
onSnapshot(collection(db, 'earnings'), callback);

After (Optimized)

// Cached API calls with smart refresh
const refreshData = async () => {
  const data = await fetch('/api/pages', { cache: 'force-cache' });
  return data;
};

3. Query Optimization

Efficient Query Patterns

// Good: Specific queries with limits
const query = db.collection('pages')
  .where('userId', '==', userId)
  .where('deleted', '!=', true)
  .orderBy('updatedAt', 'desc')
  .limit(20);

// Bad: Broad queries without limits
const query = db.collection('pages')
  .orderBy('updatedAt', 'desc'); // No limit, no filtering

Index Optimization

  • Composite Indexes: For multi-field queries
  • Single Field Indexes: For simple queries
  • Array Indexes: For array-contains queries
  • Regular Cleanup: Remove unused indexes

4. Context Separation Strategy

Separated Financial Contexts

// Instead of one monolithic context
const FinancialContext = createContext(); // ❌ Complex

// Use separated contexts
const UsdBalanceContext = createContext();    // ✅ Focused
const SubscriptionContext = createContext();  // ✅ Focused
const EarningsContext = createContext();      // ✅ Focused
const FakeBalanceContext = createContext();   // ✅ Focused

Benefits

  • Independent Loading: Components only load needed data
  • Optimized Caching: Different cache strategies per data type
  • Better Performance: Reduced re-renders and API calls
  • Easier Testing: Independent context testing

📊 Monitoring & Metrics

Key Performance Indicators

Database Metrics

  • Reads per minute: Target < 500 reads/minute
  • Query duration: Target < 100ms average
  • Cache hit rate: Target > 80%
  • Index usage: Monitor unused indexes

API Performance

  • Response time: Target < 200ms for cached responses
  • Error rate: Target < 1%
  • Cache effectiveness: Monitor cache hit/miss ratios
  • Concurrent requests: Monitor for bottlenecks

User Experience

  • Page load time: Target < 2 seconds
  • Time to interactive: Target < 3 seconds
  • Error boundaries: Monitor client-side errors
  • User satisfaction: Monitor user feedback

Monitoring Tools

Firebase Console

  • Usage tab: Monitor read/write operations
  • Performance tab: Query performance analysis
  • Indexes tab: Index usage and optimization

Custom Monitoring

// Performance tracking
const trackPerformance = (operation: string, duration: number) => {
  console.log(`⚡ ${operation}: ${duration}ms`);
  // Send to analytics if needed
};

🚀 Implementation Best Practices

1. Caching Implementation

Cache Management

class CacheManager {
  private cache = new Map();
  private readonly TTL = 15 * 60 * 1000; // 15 minutes

  get(key: string) {
    const item = this.cache.get(key);
    if (!item) return null;
    
    if (Date.now() - item.timestamp > this.TTL) {
      this.cache.delete(key);
      return null;
    }
    
    return item.data;
  }

  set(key: string, data: any) {
    this.cache.set(key, {
      data,
      timestamp: Date.now()
    });
  }

  // Periodic cleanup
  cleanup() {
    const now = Date.now();
    for (const [key, value] of this.cache.entries()) {
      if (now - value.timestamp > this.TTL * 2) {
        this.cache.delete(key);
      }
    }
  }
}

2. Query Optimization

Efficient Pagination

// Use cursor-based pagination
const getPages = async (lastDoc?: DocumentSnapshot) => {
  let query = db.collection('pages')
    .where('deleted', '!=', true)
    .orderBy('updatedAt', 'desc')
    .limit(20);
    
  if (lastDoc) {
    query = query.startAfter(lastDoc);
  }
  
  return await query.get();
};

Batch Operations

// Batch multiple operations
const batch = db.batch();
updates.forEach(update => {
  const ref = db.collection('pages').doc(update.id);
  batch.update(ref, update.data);
});
await batch.commit();

3. Error Handling

Graceful Degradation

const fetchWithFallback = async (endpoint: string) => {
  try {
    const response = await fetch(endpoint);
    if (!response.ok) throw new Error('API Error');
    return await response.json();
  } catch (error) {
    console.warn(`API error for ${endpoint}:`, error);
    // Return cached data or empty state
    return getCachedData(endpoint) || getEmptyState();
  }
};

🔍 Troubleshooting

Common Performance Issues

High Database Reads

  • Symptoms: Unexpected Firebase costs, slow queries
  • Solutions: Add caching, optimize queries, remove real-time listeners
  • Monitoring: Firebase console usage tab

Slow API Responses

  • Symptoms: Long loading times, user complaints
  • Solutions: Implement caching, optimize database queries
  • Monitoring: API response time tracking

Memory Leaks

  • Symptoms: Increasing memory usage, browser crashes
  • Solutions: Cleanup intervals, proper context disposal
  • Monitoring: Browser dev tools memory tab

Debug Tools

Performance Profiling

// Simple performance profiler
const profile = (name: string) => {
  const start = performance.now();
  return () => {
    const duration = performance.now() - start;
    console.log(`⚡ ${name}: ${duration.toFixed(2)}ms`);
  };
};

// Usage
const endProfile = profile('API Call');
await apiCall();
endProfile();

📚 Related Documentation

📈 Future Optimizations

Planned Improvements

  • CDN Integration: Static asset optimization
  • Service Workers: Offline functionality and caching
  • Database Sharding: Scale for larger user base
  • Real-time Selective: Targeted real-time updates where needed

Monitoring Expansion

  • User Analytics: Detailed user behavior tracking
  • Performance Budgets: Automated performance regression detection
  • Cost Alerts: Automatic alerts for cost spikes
  • A/B Testing: Performance impact testing for new features

Last Updated: August 16, 2025
Status: Current Best Practices - 90% Cost Reduction Achieved