Logging is essential for debugging, monitoring, and maintaining applications. Here are key best practices to follow:

  1. Use Appropriate Log Levels
    • Prioritize INFO, DEBUG, WARN, ERROR, and FATAL based on severity.
Log_Level

  1. Log Contextual Information
    Include timestamps, source code locations, and user identifiers to make logs actionable.

    Contextual_Information

  2. Avoid Sensitive Data
    Mask passwords, API keys, or personal information using placeholders like ***.

    Sensitive_Data

  3. Implement Structured Logging
    Use JSON format for logs to enable easy parsing and analysis.

    Structured_Logging

  4. Monitor and Alert
    Set up centralized log management systems (e.g., ELK Stack) and configure alerts for critical errors.

    Monitor_and_Alert

For deeper insights, check our Logging Overview Guide. 🚀