error-diagnostics-error-trace
Set Up Error Tracking and Monitoring
Implement comprehensive error monitoring with Sentry integration, intelligent alerting, and real-time dashboards to quickly identify and resolve production issues.
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Tester
Utilisation de "error-diagnostics-error-trace". Help me set up error tracking for a Node.js Express application
Résultat attendu:
- Sentry initialization with Express middleware configured
- Global error handlers for uncaughtException and unhandledRejection
- Request handler middleware for capturing request context
- Custom error handler with status code filtering
- User context enrichment for error tracking
Utilisation de "error-diagnostics-error-trace". Create an alert system for high error rates
Résultat attendu:
- AlertRule configuration with threshold and time window
- Severity levels: critical, warning, info
- Slack webhook integration with formatted payloads
- Cooldown mechanism to prevent alert spam
- Alert history tracking for analysis
Audit de sécurité
SûrAll 33 static findings are false positives. The skill provides educational code samples for implementing standard error tracking (Sentry integration, structured logging, alerting). Network calls are legitimate error reporting to monitoring services. No malicious behavior detected.
Score de qualité
Ce que vous pouvez construire
DevOps Engineer Setting Up Monitoring
Implement error tracking across microservices with centralized logging and intelligent alerting
Full-Stack Developer Adding Error Handling
Integrate Sentry into Node.js or Python applications with custom error context
Engineering Manager Improving Observability
Set up real-time error dashboards and establish error response workflows
Essayez ces prompts
Help me set up error tracking for a Node.js Express application. I need to capture uncaught exceptions, unhandled promise rejections, and log them to Sentry with custom context.
Create a structured logger using Winston that logs errors with stack traces, user context, and request details. Include Elasticsearch transport for production environments.
Configure intelligent alert rules for: high error rate (>5%), response time degradation (>1s), and memory usage critical (>90%). Set up Slack and PagerDuty channels with cooldown periods.
Implement an automatic error recovery system with circuit breaker pattern. Handle network errors with retry and backoff, database errors with read replica fallback, and rate limit errors with delay.
Bonnes pratiques
- Always include structured error context (user ID, request ID, environment)
- Filter sensitive data like passwords, tokens, and API keys before sending to error trackers
- Use error grouping to reduce noise from similar repeated errors
- Set up appropriate sampling rates for high-traffic applications
Ăviter
- Do not log full request bodies containing sensitive user data
- Avoid capturing errors without any context or user information
- Do not set alert thresholds too low causing alert fatigue
- Avoid ignoring or swallowing errors without proper logging
Foire aux questions
What error tracking services does this skill support?
Does this skill require a Sentry account?
Can this skill help with Python applications?
How do I handle sensitive data in error logs?
Does this skill work with frontend JavaScript errors?
Can I create custom error grouping logic?
Détails du développeur
Auteur
sickn33Licence
MIT
DépÎt
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/error-diagnostics-error-traceRéf
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