Performance

Optimization

Best Practices

Performance Guide

Optimize Your Bitcoin Applications

Learn how to build lightning-fast Bitcoin applications with LaserEyes' performance optimization techniques and best practices.

Fast by Default

Optimized core

Performance Metrics

Real-time monitoring

Resource Efficient

Minimal overhead

Performance Categories

Network Optimization

Efficient data fetching and caching strategies for optimal network performance.

Caching

Batching

Prefetching

95%

Cache Hit Rate

<100ms

Avg Response

State Management

Optimized state updates and efficient re-rendering patterns.

Atomic Updates

Memoization

Lazy Loading

<5MB

Memory Usage

<16ms

Update Time

Transaction Speed

Fast transaction processing and efficient signing operations.

Parallel Signing

Quick Broadcast

Fast Validation

<1s

Sign Time

<2s

Broadcast

Resource Usage

Minimal CPU and memory footprint for smooth operation.

Low CPU

Memory Efficient

Battery Friendly

<5%

CPU Usage

Optimized

Memory

Implementation Examples

Efficient Data Fetching

import { useLaserEyes, createBatchLoader } from '@omnisat/lasereyes-react'

// Create a batched loader for UTXO fetching
const utxoLoader = createBatchLoader({
  batchSize: 50,
  maxDelay: 100,
  cache: {
    maxAge: 60000,
    staleWhileRevalidate: true
  }
})

function WalletBalance() {
  const { address } = useLaserEyes()
  const { data, isLoading } = useQuery({
    queryKey: ['utxos', address],
    queryFn: () => utxoLoader.load(address),
    staleTime: 30000,
    cacheTime: 60000
  })

  // Render optimized balance display
}

Optimized State Updates

import { useLaserEyes, useOptimizedState } from '@omnisat/lasereyes-react'

function TransactionList() {
  const { transactions } = useLaserEyes()
  const optimizedState = useOptimizedState(transactions, {
    batchUpdates: true,
    debounceTime: 100,
    compareFunction: (prev, next) => prev.txid === next.txid
  })

  // Use React.memo for optimized rendering
  const MemoizedTransaction = React.memo(({ tx }) => (
    <TransactionCard tx={tx} />
  ))

  return (
    <div>
      {optimizedState.map(tx => (
        <MemoizedTransaction key={tx.txid} tx={tx} />
      ))}
    </div>
  )
}

Resource Optimization

import { useLaserEyes, ResourceManager } from '@omnisat/lasereyes-react'

// Configure resource management
const resourceManager = new ResourceManager({
  maxConcurrent: 5,
  memoryLimit: '50MB',
  garbageCollection: {
    enabled: true,
    threshold: '75%'
  }
})

function OptimizedApp() {
  return (
    <LaserEyesProvider
      config={{
        resources: resourceManager,
        performance: {
          enableMetrics: true,
          compression: true,
          workerThreads: true
        }
      }}
    >
      <YourApp />
    </LaserEyesProvider>
  )
}

Performance Metrics

Real-time Monitoring

Monitor performance metrics in real-time with built-in analytics and profiling tools.

Automatic Optimization

Automatic performance optimization based on usage patterns and resource availability.

Memory Management

Intelligent memory management with automatic garbage collection and resource cleanup.

Network Analysis

Detailed network analysis with bandwidth optimization and request batching.

Optimization Checklist

Performance Budgets

Set and monitor performance budgets for key metrics.

Bundle Size

Optimize bundle size with code splitting and lazy loading.

Network Optimization

Implement request batching and efficient caching strategies.

Resource Usage

Monitor and optimize CPU and memory usage patterns.

Security

Testing