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Veltix
AdvancedPerformance Optimization

Performance Optimization

Veltix provides various optimization techniques to ensure your dashboards perform well even with large datasets and complex visualizations.

Overview

Performance optimization in Veltix includes:

  • Data Optimization: Efficient data handling and caching
  • Component Optimization: Lazy loading and virtual rendering
  • Rendering Optimization: Canvas and chart rendering improvements
  • Network Optimization: API and data source optimization
  • Memory Management: Garbage collection and memory leaks prevention

Data Optimization

Data Caching

Implement intelligent caching to reduce API calls and improve response times.

// Cache configuration const cacheConfig = { enabled: true, ttl: 300000, // 5 minutes maxSize: 100, // Maximum cache entries strategy: 'lru' // Least recently used }; // Using cached data source const cachedDataSource = { type: 'api', url: 'https://api.example.com/sales', cache: cacheConfig, refreshInterval: 60000 };

Data Pagination

Handle large datasets efficiently with pagination.

// Paginated data source const paginatedDataSource = { type: 'api', url: 'https://api.example.com/sales', pagination: { enabled: true, pageSize: 1000, pageField: 'page', sizeField: 'size', totalField: 'total' } }; // Virtual scrolling for large lists const virtualListConfig = { itemHeight: 50, overscan: 5, threshold: 1000 };

Data Aggregation

Pre-aggregate data on the server side to reduce client-side processing.

// Server-side aggregation const aggregatedDataSource = { type: 'api', url: 'https://api.example.com/sales/aggregated', aggregation: { groupBy: ['region', 'product'], metrics: ['sum', 'average', 'count'], timeRange: 'last_30_days' } };

Component Optimization

Lazy Loading

Load components only when needed to improve initial load time.

import { lazy, Suspense } from 'react'; // Lazy load chart components const BarChart = lazy(() => import('@veltix/charts/bar')); const LineChart = lazy(() => import('@veltix/charts/line')); const PieChart = lazy(() => import('@veltix/charts/pie')); function Dashboard() { return ( <Suspense fallback={<div>Loading chart...</div>}> <BarChart data={data} /> </Suspense> ); }

Component Memoization

Prevent unnecessary re-renders with React.memo and useMemo.

import { memo, useMemo } from 'react'; const OptimizedChart = memo(({ data, config }) => { const processedData = useMemo(() => { return data.map(item => ({ ...item, value: item.value * 1000 })); }, [data]); return <BarChart data={processedData} config={config} />; });

Virtual Rendering

Render only visible components for large dashboards.

import { VirtualCanvas } from '@veltix/ui'; function LargeDashboard({ components }) { return ( <VirtualCanvas components={components} viewportHeight={800} itemHeight={200} overscan={3} /> ); }

Rendering Optimization

Canvas Optimization

Optimize canvas rendering for smooth interactions.

// Canvas performance settings const canvasConfig = { enableOptimization: true, batchUpdates: true, debounceResize: 100, enableHardwareAcceleration: true }; // Component rendering optimization const componentConfig = { enableLazyRendering: true, renderThreshold: 100, enableCulling: true };

Chart Rendering

Optimize chart rendering for better performance.

// ECharts optimization const chartConfig = { animation: false, // Disable animations for better performance throttle: 16, // 60fps throttling progressive: 1000, // Progressive rendering for large datasets progressiveThreshold: 3000 }; <BarChart data={data} config={chartConfig} enableOptimization={true} />

WebGL Rendering

Use WebGL for complex visualizations when available.

// WebGL configuration const webglConfig = { enabled: true, fallback: 'canvas', antialias: true, preserveDrawingBuffer: false };

Network Optimization

API Optimization

Optimize API calls and data transfer.

// API request optimization const apiConfig = { compression: true, caching: true, batchRequests: true, requestTimeout: 5000, retryAttempts: 3 }; // GraphQL optimization const graphqlConfig = { query: ` query GetSalesData($year: Int!) { sales(year: $year) { date amount region } } `, variables: { year: 2024 }, fetchPolicy: 'cache-first' };

WebSocket Optimization

Optimize real-time data connections.

// WebSocket optimization const websocketConfig = { compression: true, heartbeat: 30000, reconnectAttempts: 5, reconnectInterval: 1000, maxReconnectDelay: 30000 };

Memory Management

Garbage Collection

Prevent memory leaks and optimize garbage collection.

// Memory management utilities import { useMemoryOptimization } from '@veltix/ui'; function Dashboard() { useMemoryOptimization({ cleanupInterval: 60000, maxMemoryUsage: 100 * 1024 * 1024, // 100MB enableGarbageCollection: true }); return <DashboardContent />; }

Event Listener Cleanup

Properly clean up event listeners to prevent memory leaks.

import { useEffect, useRef } from 'react'; function ChartComponent({ data }) { const chartRef = useRef(null); useEffect(() => { const chart = chartRef.current; // Setup event listeners chart.on('click', handleClick); chart.on('hover', handleHover); // Cleanup function return () => { chart.off('click', handleClick); chart.off('hover', handleHover); chart.dispose(); }; }, [data]); return <div ref={chartRef} />; }

Data Structure Optimization

Use efficient data structures for better performance.

// Use Map for O(1) lookups const dataMap = new Map(); data.forEach(item => { dataMap.set(item.id, item); }); // Use Set for unique values const uniqueValues = new Set(data.map(item => item.category)); // Use TypedArrays for large numeric datasets const numericData = new Float64Array(data.length); data.forEach((item, index) => { numericData[index] = item.value; });

Monitoring and Profiling

Performance Monitoring

Monitor dashboard performance in real-time.

import { usePerformanceMonitor } from '@veltix/ui'; function Dashboard() { const { metrics, alerts } = usePerformanceMonitor({ fps: true, memory: true, network: true, renderTime: true }); // Handle performance alerts useEffect(() => { if (alerts.fps < 30) { console.warn('Low FPS detected'); } }, [alerts]); return <DashboardContent />; }

Performance Profiling

Profile components to identify bottlenecks.

import { Profiler } from 'react'; function ProfiledDashboard() { const onRenderCallback = (id, phase, actualDuration) => { console.log(`Component ${id} took ${actualDuration}ms to render`); }; return ( <Profiler id="Dashboard" onRender={onRenderCallback}> <DashboardContent /> </Profiler> ); }

Best Practices

1. Data Management

  • Use appropriate data structures
  • Implement efficient caching strategies
  • Optimize data transfer formats
  • Use server-side aggregation when possible

2. Component Design

  • Implement lazy loading for large components
  • Use React.memo for expensive components
  • Optimize re-render cycles
  • Implement virtual scrolling for large lists

3. Rendering Optimization

  • Disable animations for static dashboards
  • Use hardware acceleration when available
  • Implement progressive rendering
  • Optimize canvas operations

4. Network Optimization

  • Use compression for data transfer
  • Implement intelligent caching
  • Batch API requests when possible
  • Use WebSocket for real-time updates

5. Memory Management

  • Clean up event listeners
  • Dispose of chart instances
  • Monitor memory usage
  • Implement proper garbage collection

Performance Checklist

Before Deployment

  • Implement data caching
  • Enable component lazy loading
  • Optimize chart rendering
  • Configure network optimization
  • Set up performance monitoring
  • Test with large datasets
  • Verify memory usage
  • Check rendering performance

Ongoing Monitoring

  • Monitor FPS and render times
  • Track memory usage
  • Monitor API response times
  • Check for memory leaks
  • Optimize based on usage patterns
  • Update performance budgets

Troubleshooting

Common Performance Issues

Slow rendering

  • Check component complexity
  • Verify data size
  • Enable hardware acceleration
  • Implement virtual rendering

High memory usage

  • Check for memory leaks
  • Optimize data structures
  • Implement proper cleanup
  • Monitor garbage collection

Network bottlenecks

  • Enable compression
  • Implement caching
  • Optimize API calls
  • Use CDN for static assets
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