Best Practices

Security Considerations

• Token management - Rotate API tokens regularly and store them securely.
• Environment isolation - Use separate tokens for development, staging, and production.
• Audit logging - Monitor API token usage and access patterns.

Performance Optimization

• Query specificity - Use specific time ranges and filters to reduce data transfer.
• Caching awareness - Understand that some data may be cached for performance.
• Rate limiting - Be aware of API rate limits and implement appropriate delays.
• Batch operations - Group related queries when possible.

Troubleshooting Workflows

1. Start broad, then narrow - Begin with overview queries, then drill down into specifics.
2. Use temporal context - Include time ranges in your queries for better results.
3. Combine data sources - Correlate error data with performance metrics for comprehensive analysis.
4. Document findings - Use the AI assistant to help document investigation results.

Integration with Development Workflow

• Pre-deployment checks - Query recent error trends before releases.
• Post-deployment monitoring - Set up automated queries to check release health.
• Code review enhancement - Include error context in pull request discussions.
• Sprint planning - Use error frequency data to prioritize bug fixes.