Jaeger · question
Q.03 of 25
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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