gamma-performance-tuning

# Gamma Performance Tuning

## Overview
Optimize Gamma API integration performance for faster response times and better throughput.

## Prerequisites
- Working Gamma integration
- Performance monitoring tools
- Understanding of caching concepts

## Instructions

### Step 1: Client Configuration Optimization
```typescript
import { GammaClient } from '@gamma/sdk';

const gamma = new GammaClient({
  apiKey: process.env.GAMMA_API_KEY,

  // Connection optimization
  timeout: 30000,
  keepAlive: true,
  maxSockets: 10,

  // Retry configuration
  retries: 3,
  retryDelay: 1000,
  retryCondition: (err) => err.status >= 500 || err.status === 429,

  // Compression
  compression: true,
});
```

### Step 2: Response Caching
```typescript
import NodeCache from 'node-cache';

const cache = new NodeCache({
  stdTTL: 300, // 5 minutes default
  checkperiod: 60,
});

async function getCachedPresentation(id: string) {
  const cacheKey = `presentation:${id}`;

  // Check cache first
  const cached = cache.get(cacheKey);
  if (cached) {
    return cached;
  }

  // Fetch from API
  const presentation = await gamma.presentations.get(id);

  // Cache the result
  cache.set(cacheKey, presentation);

  return presentation;
}

// Cache invalidation on updates
gamma.on('presentation.updated', (event) => {
  cache.del(`presentation:${event.data.id}`);
});
```

### Step 3: Parallel Request Optimization
```typescript
// Instead of sequential requests
async function getSequential(ids: string[]) {
  const results = [];
  for (const id of ids) {
    results.push(await gamma.presentations.get(id)); // Slow!
  }
  return results;
}

// Use parallel requests with concurrency control
import pLimit from 'p-limit';

const limit = pLimit(5); // Max 5 concurrent requests

async function getParallel(ids: string[]) {
  return Promise.all(
    ids.map(id => limit(() => gamma.presentations.get(id)))
  );
}

// Batch API if available
async function getBatch(ids: string[]) {
  return gamma.presentations.getB