This guide outlines best practices for optimizing performance when using the Thena Platform, ensuring your applications run efficiently and scale effectively.

API Optimization

Request Management

// Example: Implementing request batching
const batchRequests = async (requests: Request[]): Promise<Response[]> => {
  const batchSize = 10;
  const results = [];
  
  for (let i = 0; i < requests.length; i += batchSize) {
    const batch = requests.slice(i, i + batchSize);
    const batchResults = await Promise.all(batch.map(processRequest));
    results.push(...batchResults);
  }
  
  return results;
};
  • Implement request batching
  • Use pagination for large datasets
  • Optimize query parameters
  • Cache frequently accessed data
  • Implement rate limiting

Response Optimization

// Example: Implementing field selection
const getUser = async (id: string, fields: string[]): Promise<User> => {
  const projection = fields.reduce((acc, field) => ({...acc, [field]: 1}), {});
  return await db.users.findOne({ id }, { projection });
};
  • Implement field selection
  • Compress responses
  • Use appropriate data formats
  • Optimize payload size
  • Cache responses

Caching Strategies

Client-Side Caching

// Example: Implementing a cache wrapper
class Cache {
  private store: Map<string, {data: any, expiry: number}>;
  
  set(key: string, data: any, ttl: number): void {
    this.store.set(key, {
      data,
      expiry: Date.now() + ttl
    });
  }
  
  get(key: string): any {
    const item = this.store.get(key);
    if (!item || item.expiry < Date.now()) {
      return null;
    }
    return item.data;
  }
}
  • Implement browser caching
  • Use service workers
  • Local storage optimization
  • Memory cache management
  • Cache invalidation strategies

Server-Side Caching

  • Use Redis for distributed caching
  • Implement query caching
  • Cache warm-up strategies
  • Cache eviction policies
  • Monitor cache hit rates

Database Optimization

Query Optimization

-- Example: Optimizing database queries
CREATE INDEX idx_user_email ON users(email);
CREATE INDEX idx_ticket_status ON tickets(status, created_at);
  • Proper indexing
  • Query optimization
  • Connection pooling
  • Regular maintenance
  • Performance monitoring

Data Management

  • Implement data archiving
  • Regular cleanup jobs
  • Optimize table structure
  • Manage data growth
  • Monitor database metrics

Resource Management

Memory Management

// Example: Implementing memory monitoring
const monitorMemoryUsage = (): void => {
  const used = process.memoryUsage();
  console.log({
    heapTotal: `${Math.round(used.heapTotal / 1024 / 1024)} MB`,
    heapUsed: `${Math.round(used.heapUsed / 1024 / 1024)} MB`,
    external: `${Math.round(used.external / 1024 / 1024)} MB`
  });
};
  • Monitor memory usage
  • Implement garbage collection
  • Memory leak prevention
  • Resource pooling
  • Load balancing

CPU Optimization

  • Optimize compute-intensive tasks
  • Use worker threads
  • Implement task queuing
  • Monitor CPU usage
  • Resource allocation

Network Optimization

Content Delivery

// Example: CDN configuration
const cdnConfig = {
  enabled: true,
  baseUrl: 'https://cdn.thena.ai',
  cacheControl: 'public, max-age=31536000',
  regions: ['us-east-1', 'eu-west-1', 'ap-southeast-1']
};
  • Use CDN for static content
  • Image optimization
  • Asset compression
  • Lazy loading
  • Preloading critical resources

Connection Management

  • Keep-alive connections
  • Connection pooling
  • Request pipelining
  • DNS optimization
  • Load balancing

Monitoring & Metrics

Performance Monitoring

// Example: Performance metric tracking
const trackMetric = async (metric: string, value: number): Promise<void> => {
  await metrics.push({
    name: metric,
    value,
    timestamp: Date.now(),
    tags: {
      environment: process.env.NODE_ENV,
      region: process.env.REGION
    }
  });
};
  • Monitor response times
  • Track error rates
  • Measure throughput
  • Resource utilization
  • User experience metrics

Alerting

  • Set performance thresholds
  • Configure alerts
  • Monitor trends
  • Incident response
  • Performance reporting

Best Practices Checklist

API Optimization

  • Implement request batching
  • Use pagination
  • Optimize queries
  • Cache responses
  • Monitor API usage

Caching

  • Implement client caching
  • Set up server caching
  • Define cache policies
  • Monitor cache performance
  • Regular cache maintenance

Resource Management

  • Monitor memory usage
  • Optimize CPU usage
  • Implement load balancing
  • Resource allocation
  • Performance monitoring

Next Steps

  1. Analyze current performance metrics
  2. Identify bottlenecks
  3. Implement optimization strategies
  4. Monitor improvements
  5. Regular performance reviews

Need help with performance optimization? Contact our support team at support@thena.ai