Best Practices

Follow these guidelines to maximize performance, reliability, and efficiency when using ProxyOmega's proxy services.

Quick Tip

These practices are based on real-world usage patterns from thousands of successful proxy implementations.

General Guidelines

Recommended Practices

Use connection pooling for better performance
Implement retry logic with exponential backoff
Rotate user agents and headers
Monitor your usage and set alerts
Use sticky sessions for multi-step processes

Common Mistakes to Avoid

Don't exceed rate limits of target websites
Don't use the same session for unrelated requests
Don't ignore HTTP status codes and errors
Don't hardcode credentials in your code
Don't make requests without error handling

Performance Optimization

Pro Tip

Use concurrent requests with proper throttling (10-50 threads) to maximize throughput while respecting target site limits.

Connection Management

Strategy	Description	Recommended For
Connection Pooling	Reuse existing connections	High-volume scraping
Session Rotation	Change IP every N requests	Anti-detection
Sticky Sessions	Keep same IP for duration	Login-based sites
Geographic Distribution	Use IPs from multiple regions	Global data collection

Error Handling

python

import requests
from time import sleep
import random

def make_request_with_retry(url, proxies, max_retries=3):
    for attempt in range(max_retries):
        try:
            response = requests.get(
                url, 
                proxies=proxies, 
                timeout=30
            )
            
            if response.status_code == 200:
                return response
            elif response.status_code == 429:
                # Rate limited - exponential backoff
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                sleep(wait_time)
            else:
                # Other error - log and retry
                print(f"Error {response.status_code}: {response.text}")
                
        except requests.exceptions.RequestException as e:
            print(f"Request failed: {e}")
            if attempt < max_retries - 1:
                sleep(2 ** attempt)
            else:
                raise
    
    return None

javascript

const axios = require('axios');
const HttpsProxyAgent = require('https-proxy-agent');

async function makeRequestWithRetry(url, proxyUrl, maxRetries = 3) {
    const agent = new HttpsProxyAgent(proxyUrl);
    
    for (let attempt = 0; attempt < maxRetries; attempt++) {
        try {
            const response = await axios.get(url, {
                httpsAgent: agent,
                timeout: 30000
            });
            
            return response.data;
            
        } catch (error) {
            if (error.response?.status === 429) {
                // Rate limited - exponential backoff
                const waitTime = Math.pow(2, attempt) * 1000;
                await new Promise(resolve => setTimeout(resolve, waitTime));
            } else if (attempt === maxRetries - 1) {
                throw error;
            } else {
                // Retry with delay
                await new Promise(resolve => 
                    setTimeout(resolve, Math.pow(2, attempt) * 1000)
                );
            }
        }
    }
}

java

import java.net.*;
import java.io.*;

public class ProxyRequest {
    public static String makeRequestWithRetry(
        String url, 
        Proxy proxy, 
        int maxRetries
    ) throws IOException {
        
        for (int attempt = 0; attempt < maxRetries; attempt++) {
            try {
                URL targetUrl = new URL(url);
                HttpURLConnection conn = 
                    (HttpURLConnection) targetUrl.openConnection(proxy);
                
                conn.setConnectTimeout(30000);
                conn.setReadTimeout(30000);
                
                int responseCode = conn.getResponseCode();
                
                if (responseCode == 200) {
                    // Success - read response
                    BufferedReader reader = new BufferedReader(
                        new InputStreamReader(conn.getInputStream())
                    );
                    return reader.lines()
                        .reduce("", (a, b) -> a + b);
                        
                } else if (responseCode == 429) {
                    // Rate limited - exponential backoff
                    Thread.sleep((long) Math.pow(2, attempt) * 1000);
                }
                
            } catch (Exception e) {
                if (attempt == maxRetries - 1) {
                    throw new IOException("Max retries exceeded", e);
                }
                // Exponential backoff
                try {
                    Thread.sleep((long) Math.pow(2, attempt) * 1000);
                } catch (InterruptedException ie) {
                    Thread.currentThread().interrupt();
                }
            }
        }
        return null;
    }
}

Rate Limiting Best Practices

Optimal Request Rates

Start with 10-20 requests per second and gradually increase while monitoring response times and error rates. Most sites handle 50-100 RPS well with proper proxy rotation.

Rate Limiting Strategies

Token Bucket Algorithm: Allows burst traffic while maintaining average rate
Sliding Window: Smooth rate limiting without sudden drops
Adaptive Throttling: Adjust rate based on response times
Priority Queues: Process important requests first

Security Considerations

Credential Storage

Use environment variables or secure vaults. Never commit credentials to version control.

IP Whitelisting

Always whitelist your server IPs in the dashboard for enhanced security.

HTTPS Only

Always use HTTPS endpoints for secure data transmission.

User Agents

Rotate realistic user agents to maintain anonymity and avoid detection.

Monitoring & Debugging

Dashboard Analytics

Use the ProxyOmega dashboard to monitor your usage, success rates, and performance metrics in real-time. Set up alerts for unusual activity or quota limits.

Key Metrics to Track

Metric	Description	Alert Threshold
Success Rate	Percentage of successful requests	< 95%
Response Time	Average time to receive response	> 5 seconds
Error Rate	Percentage of failed requests	> 5%
Bandwidth Usage	Data transferred per hour	> 80% of limit
Concurrent Connections	Active proxy connections	> 90% of limit