strategic/docs/PERFORMANCE_TUNING_GUIDE.md

Performance Tuning Guide

Overview

This guide covers optimization strategies for improving gas efficiency and execution speed.

Gas Optimization

1. Batch Size Optimization

Problem: Large batches consume more gas

Solution:

• Optimize batch sizes (typically 5-10 calls)
• Split very large strategies into multiple transactions
• Use flash loans to reduce intermediate steps

2. Call Optimization

Problem: Redundant or inefficient calls

Solution:

• Combine similar operations
• Remove unnecessary calls
• Use protocol-specific batch functions (e.g., Balancer batchSwap)

3. Storage Optimization

Problem: Excessive storage operations

Solution:

• Minimize state changes
• Use events instead of storage where possible
• Cache values when appropriate

RPC Optimization

1. Connection Pooling

Problem: Slow RPC responses

Solution:

• Use multiple RPC providers
• Implement connection pooling
• Cache non-critical data

2. Batch RPC Calls

Problem: Multiple sequential RPC calls

Solution:

• Use eth_call batch requests
• Parallelize independent calls
• Cache results with TTL

3. Provider Selection

Problem: Single point of failure

Solution:

• Use multiple providers
• Implement failover logic
• Monitor provider health

Caching Strategy

1. Price Data Caching

// Cache prices with 60s TTL
const priceCache = new Map<string, { price: bigint; timestamp: number }>();

async function getCachedPrice(token: string): Promise<bigint> {
  const cached = priceCache.get(token);
  if (cached && Date.now() - cached.timestamp < 60000) {
    return cached.price;
  }
  const price = await fetchPrice(token);
  priceCache.set(token, { price, timestamp: Date.now() });
  return price;
}

2. Address Caching

// Cache protocol addresses (rarely change)
const addressCache = new Map<string, string>();

3. Gas Estimate Caching

// Cache gas estimates with short TTL (10s)
const gasCache = new Map<string, { estimate: bigint; timestamp: number }>();

Strategy Optimization

1. Reduce Steps

Problem: Too many steps increase gas

Solution:

• Combine operations where possible
• Use protocol batch functions
• Eliminate unnecessary steps

2. Optimize Flash Loans

Problem: Flash loan overhead

Solution:

• Only use flash loans when necessary
• Minimize operations in callback
• Optimize repayment logic

3. Guard Optimization

Problem: Expensive guard evaluations

Solution:

• Cache guard results when possible
• Use cheaper guards first
• Skip guards for trusted strategies

Monitoring Performance

Metrics to Track

1. Gas Usage: Average gas per execution
2. Execution Time: Time to complete strategy
3. RPC Latency: Response times
4. Cache Hit Rate: Caching effectiveness
5. Success Rate: Execution success percentage

Tools

• Gas tracker dashboard
• RPC latency monitoring
• Cache hit rate tracking
• Performance profiling

Best Practices

1. Profile First: Measure before optimizing
2. Optimize Hot Paths: Focus on frequently used code
3. Test Changes: Verify optimizations don't break functionality
4. Monitor Impact: Track improvements
5. Document Changes: Keep optimization notes

Common Optimizations

Before

// Multiple sequential calls
const price1 = await oracle.getPrice(token1);
const price2 = await oracle.getPrice(token2);
const price3 = await oracle.getPrice(token3);

After

// Parallel calls
const [price1, price2, price3] = await Promise.all([
  oracle.getPrice(token1),
  oracle.getPrice(token2),
  oracle.getPrice(token3),
]);

Performance Checklist

• Optimize batch sizes
• Implement caching
• Use connection pooling
• Parallelize independent calls
• Monitor gas usage
• Profile execution time
• Optimize hot paths
• Document optimizations