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Question 25 of 133

What are the differences between logging, metrics, and tracing?

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These are the three pillars of observability, each serving different purposes:

Logging:

  • Records discrete events with timestamps
  • Good for debugging specific issues
  • High volume, text-based
  • Example: "User 123 failed login at 2023-10-15 14:30:00"

Metrics:

  • Numerical measurements over time
  • Good for alerting and dashboards
  • Low volume, aggregated data
  • Example: CPU usage: 75%, Request rate: 100/sec

Tracing:

  • Shows request flow across services
  • Good for understanding system behavior
  • Medium volume, structured data
  • Example: Request path: Frontend → API → Database (150ms total)

Integration: Modern observability uses all three together - traces provide context for logs and metrics.

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