Logging Best Practices

Overview

Logging best practices improve production visibility, speed up incident response, and reduce troubleshooting time.

Core Practices

• Log meaningful events, not noise
• Include context fields such as service, environment, and request id
• Use consistent severity levels
• Protect sensitive data

flowchart LR
    A[Application Event] --> B[Structured Log Entry]
    B --> C[Central Log Store]
    C --> D[Search and Analysis]

Practical Example

{
  "timestamp": "2026-09-06T16:10:00Z",
  "level": "ERROR",
  "service": "payment-service",
  "requestId": "req-9031",
  "message": "Card authorization failed",
  "errorCode": "PAYMENT_TIMEOUT"
}

Production Example

A checkout platform logs every payment attempt with request correlation id and partner gateway response code, making failed transaction analysis fast and consistent.

Common Pitfalls

• Logging secrets or personal data
• Missing correlation fields
• Excessive debug logging in production

Key Takeaways

• Context-rich logs are essential for incident investigation.
• Consistent schema improves search and alert quality.
• Security and privacy controls must be built into logging.