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Event Logging Strategy

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Consistency in Event Naming

Use a consistent naming convention for events across your application:
  • Use descriptive, action-oriented names (e.g., user_registered, payment_processed)
  • Avoid generic names like click or view
  • Utilize namespaces for better organization (e.g., auth.login_success, payment.transaction_failed)
// Good
instalog.log('payment_processed', { amount: 99.99, currency: 'USD' });

// Better
instalog.log('payment.transaction_completed', { 
  amount: 99.99, 
  currency: 'USD',
  method: 'credit_card',
  status: 'success'
});

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Structured Metadata

Include relevant metadata with each event to provide context:
  • Always include identifiers (user ID, session ID, etc.)
  • Add relevant business metrics (transaction amount, subscription tier, etc.)
  • Include environmental context (device info, app version, etc.)

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User Identification

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Implement Early and Consistently

Identify users as early as possible in their session: 
// After user authentication
instalog.identifyUser("user123");

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Anonymize Sensitive Data

Never log personal identifiable information (PII) directly:
  • Use anonymized identifiers
  • Hash or tokenize sensitive information
  • Follow data protection regulations (GDPR, CCPA, etc.)

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Crash Reporting

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Group Similar Errors

Configure error grouping to reduce noise in your error reports: 
// Configure error grouping during initialization
await Instalog.initialize('YOUR_API_KEY', {
  errorGrouping: {
    enabled: true,
    errorThreshold: 5,
    timeWindowMs: 60000
  }
});

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Implementation Checklist

  • Initialize SDK as early as possible in app lifecycle
  • Identify users after authentication
  • Implement consistent event naming strategy
  • Include relevant metadata with all events
  • Set up proper error grouping
  • Configure appropriate log levels
  • Test crash reporting in development
  • Monitor dashboard regularly for issues
  • Implement automated alerts for critical errors

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Integration with MCP

When using Model Context Protocol with Instalog:
  • Structure your queries to be specific and focused
  • Include time ranges when querying historical data
  • Use natural language to describe the patterns you’re looking for
  • Leverage MCP for automated analysis of recurring issues
For additional support with implementing these best practices, contact our team at [email protected].