Troubleshooting¶
Overview¶
Effective troubleshooting is essential for building reliable applications with the Nakisa API. This guide provides comprehensive strategies for identifying, diagnosing, and resolving common API issues.
Key Principles¶
Systematic Approach: Follow a structured debugging process
Proactive Monitoring: Implement logging and monitoring from the start
Graceful Degradation: Handle errors without breaking user experience
Documentation: Keep detailed records of issues and solutions
Common Error Types and Solutions¶
Authentication Errors¶
Error Code |
Cause |
Solution |
Recovery |
|---|---|---|---|
401 Unauthorized |
Missing or invalid API key |
Verify API key in |
Refresh API key or contact support |
403 Forbidden |
Insufficient permissions |
Check API key permissions and roles |
Request elevated permissions |
Rate Limiting and Throttling¶
Error Code |
Cause |
Solution |
Recovery |
|---|---|---|---|
429 Too Many Requests |
Rate limit exceeded |
Implement exponential backoff |
Wait for rate limit reset |
Resource and Data Errors¶
Error Code |
Cause |
Solution |
Recovery |
|---|---|---|---|
404 Not Found |
Resource doesn’t exist |
Verify endpoint URL and parameters |
Check API documentation |
400 Bad Request |
Invalid request format |
Validate request parameters |
Fix request structure |
422 Unprocessable Entity |
Invalid data format |
Check request body format |
Validate against API schema |
Server and Network Errors¶
Error Code |
Cause |
Solution |
Recovery |
|---|---|---|---|
500 Internal Server Error |
Server-side error |
Retry with exponential backoff |
Contact support if persistent |
502 Bad Gateway |
Upstream server error |
Retry after delay |
Monitor service status |
503 Service Unavailable |
Service temporarily down |
Implement circuit breaker |
Wait for service restoration |
Monitoring and Alerting¶
Key Metrics to Track¶
Response Times: Monitor API performance
Error Rates: Track failure percentages
Rate Limit Usage: Monitor API quota consumption
Authentication Failures: Track auth issues
Server Errors: Monitor 5xx errors
Best Practices¶
Error Handling¶
Always Check Status Codes: Never assume success
Implement Retry Logic: Use exponential backoff for transient errors
Log Everything: Maintain detailed logs for debugging
Handle Timeouts: Set appropriate timeout values
Validate Responses: Check response structure and data types
Performance¶
Use Connection Pooling: Reuse HTTP connections
Implement Caching: Cache successful responses
Monitor Rate Limits: Track API usage carefully
Optimize Requests: Minimize payload size and request frequency
Security¶
Secure API Keys: Never log or expose API keys
Validate Input: Sanitize all request data
Use HTTPS: Always use secure connections
Implement Timeouts: Prevent hanging requests
Monitoring¶
Track Key Metrics: Monitor response times, error rates, and usage
Set Up Alerts: Get notified of issues immediately
Log Strategically: Balance detail with performance
Test Regularly: Verify API functionality periodically
Getting Help¶
Before Contacting Support¶
Check Documentation: Verify API usage against documentation
Test with Tools: Use Postman or cURL to isolate issues
Review Logs: Analyze application and API logs
Reproduce Issues: Create minimal test cases
When Contacting Support¶
Include the following information:
Error Details: Full error messages and stack traces
Request Information: URL, headers, and request body
Response Data: Status code and response body
Environment: SDK version, platform, and configuration
Steps to Reproduce: Clear steps to recreate the issue
Logs: Relevant application and API logs
Conclusion¶
Effective troubleshooting requires a systematic approach, proper tooling, and comprehensive monitoring. By implementing these patterns and best practices, you can quickly identify and resolve API issues while maintaining reliable application performance.