Skip to main content

Best Practices and Troubleshooting

Performance Optimization

Connection Pool Tuning

yaml

Minimum Size: 5

Maximum Size: 20

Timeout: 30 seconds

Idle Timeout: 10 minutes

Batch Processing

  • Optimal batch size: 1000-5000 records  

  • Adjust based on record size

  • Monitor memory usage

  • Use parallel processing for large datasets

Query Optimization

  1. Select only required fields.

  2. Apply filters at source.

  3. Use appropriate indexes.

  4. Avoid complex joins in virtual mode.

Network Optimization

  1. Enable compression.

  2. Use persistent connections.

  3. Configure appropriate timeouts.

  4. Place Gateway Agent close to data source.

Error Handling

Common Error Patterns

Error Type

Troubleshooting Steps

Connection Errors

  • Verify network connectivity

  • Check firewall rules

  • Validate credentials

  • Review SSL certificates

Data Errors

  • Type mismatches

  • Constraint violations

  • Missing required fields

  • Format inconsistencies

Performance Errors

  • Query timeouts

  • Memory exhaustion

  • API rate limits

  • Lock contentions

Error Recovery Strategies

Strategy Type

Implementation

Automatic Retry

  • Exponential backoff

  • Maximum retry limit

  • Error classification

Manual Intervention

  • Error queue review

  • Data correction

  • Process restart

Fallback Options

  • Switch to full load

  • Reduce batch size

  • Off-peak scheduling

Security Considerations

Security Considerations

Best Practices

Authentication

  • Use service accounts

  • Implement key rotation

  • Store credentials securely

  • Monitor access logs

Data Protection

  • Enable SSL/TLS

  • Encrypt sensitive data

  • Implement field-level security

  • Audit data access

Network Security

  • Whitelist IP addresses

  • Use VPN for sensitive data

  • Configure firewall rules

  • Regular security reviews

Compliance Requirements

  • Data residency rules

  • Privacy regulations (GDPR, CCPA)

  • Industry standards (SOX, HIPAA)

  • Internal policies

Was this article helpful?

We're sorry to hear that.