logging-guide

Structured logging in JSON format is implemented by enforcing consistent required and recommended fields with snake_case naming conventions for domains like HTTP, Database, and User, ensuring better observability across diverse application environments.

Sensitive data masking and PII handling in application logs is achieved by applying specific directives for redacting sensitive information, enforcing secure application logs, and preventing sensitive data leaks across all environments.

Choosing appropriate log levels involves using clear definitions and decision trees for TRACE, DEBUG, INFO, WARN, ERROR, and FATAL to ensure accurate error handling and observability context in your application.

Yes, this structured logging guidance works for new services by ensuring all logs include essential identifiers like trace_id and user_id, providing necessary context and improving traceability across diverse application environments.

Error logging context needs to be added when implementing structured logging to ensure better observability, adhering to JSON format with required fields and sensitive data handling directives across all environments.