type Proxy struct { Addr string Score float64 LastSeen time.Time } func getProxy() Proxy { /* select best-scored proxy */ } func report(addr string, status bool) { /* adjust score */ }
Deployment & scaling tips
- Use a distributed datastore (Redis) for state if you run multiple manager instances.
- Rate-limit manager API to prevent exhaustion.
- Use TLS for manager-client communications and encrypt credentials at rest.
- Keep a warm spare pool to replace failing proxies quickly.
Security and privacy considerations
- Store proxy credentials securely (vaults or secrets manager).
- Rotate credentials and tokens periodically.
- Be aware of legal/ethical considerations—scraping protected content or bypassing restrictions may violate terms of service or laws.
- For sensitive workflows, avoid logging full request bodies that may contain personal data.
Troubleshooting common problems
- High failure rate: run health checks, remove bad proxies, verify authentication.
- Slow responses: measure latency, prefer lower-latency proxies, or use geographic targeting.
- Captchas and blocks: use residential/mobile proxies, slow request rate, or solve captchas via third-party services.
- Credential errors: ensure encoding/URL format is correct and check provider dashboard.
Example scoring algorithm (simple)
Score = w1(success_rate) – w2(avg_latency_ms/1000) – w3*(error_rate)
Where w1, w2, w3 are tuned weights. Use exponential moving averages to smooth measurements.
Final checklist before production
- Implement health checks and scoring.
- Add exponential backoff and retry strategies.
- Securely store and rotate credentials.
- Monitor metrics and set alerts for elevated error rates.
- Ensure compliance with target site terms and applicable laws.
If you want, I can: provide a complete production-ready proxy manager codebase (Python/Go/Node), create a Docker-compose deployment, or tailor scripts for a specific proxy provider — tell me which language or provider you prefer.
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