Error Tracking
Error Tracking Tools
| Tool | Description |
|---|---|
| Sentry | Error tracking, stack traces |
| Bugsnag | Error monitoring |
| Rollbar | Real-time error tracking |
Error Context
try {
orderService.process(request);
} catch (Exception e) {
Sentry.captureException(e);
throw e;
}
Collect: stack trace, user context, breadcrumbs, tags.
Key Points
- Understanding Error Tracking is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Error Handling Patterns
Error Response Format
{
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid input",
"details": [...]
}
}
Status Codes
- 400: Bad Request
- 401: Unauthorized
- 403: Forbidden
- 404: Not Found
- 409: Conflict
- 429: Rate Limited
- 500: Internal Error
Best Practices
- Log all errors
- Don't expose internals
- Use custom exceptions
- Implement global handler
Key Points
- Understanding Error Tracking is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for Error Tracking in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Error Tracking implementation
// Key aspects: validation, error handling, logging, testing
public class ErrorTracking {
// Production-ready implementation
}Identify and handle edge cases for Error Tracking. What happens under high load, with invalid input, or during failures?
Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotencyWrite a testing strategy for Error Tracking. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Error tracking tools provide?
2. Error grouping helps with?
3. What is the primary purpose of Error Tracking?
4. What is a common mistake when implementing Error Tracking?
Flashcards
Question
Error tracking tools?
Click to reveal answer
Answer
Sentry, Bugsnag, Rollbar
Question
Error grouping purpose?
Click to reveal answer
Answer
Cluster similar errors into unique issues
Question
What is Error Tracking?
Click to reveal answer
Answer
Error Tracking is a key concept in backend development.
Question
When to use Error Tracking?
Click to reveal answer
Answer
Use Error Tracking when building production systems that require reliability, scalability, and maintainability.
Question
Error Tracking best practices
Click to reveal answer
Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.Error tracking: Sentry, Bugsnag, Rollbar
- 2.Collect: stack trace, context, breadcrumbs
- 3.Group similar errors
- 4.Alert on new or increasing errors
Interview Tips
- •Implement error tracking
- •Use error tracking tools
Cheat Sheet
Error Tracking
- Tools: Sentry, Bugsnag, Rollbar
- Collect: stack trace, context, breadcrumbs
- Group similar errors
- Alert: new or increasing errors