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Is your feature request related to a problem? Please describe.
Debugging and monitoring production issues is challenging due to inconsistent log formats and missing contextual information.
Describe the solution you'd like
Implement a structured logging framework that:
Utilizes JSON format for all logs
Includes standard fields such as timestamp, severity, correlation ID, and request context
Supports context injection for additional metadata
Offers different log levels (DEBUG, INFO, WARN, ERROR, FATAL)
Allows for adding custom fields as needed
Provides utilities for performance logging and distributed tracing
Describe alternatives you've considered
Continuing to use plain text logs with manual parsing
Implementing custom log formatting without a standardized approach
Relying solely on Application Performance Monitoring (APM) tools
Additional context
The current logging setup lacks the necessary structure and context to effectively trace user actions and debug issues across distributed systems. By enhancing the logging infrastructure, we can improve observability, reduce mean time to resolution (MTTR) for incidents, and gain deeper insights into system behavior.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Debugging and monitoring production issues is challenging due to inconsistent log formats and missing contextual information.
Describe the solution you'd like
Implement a structured logging framework that:
Describe alternatives you've considered
Additional context
The current logging setup lacks the necessary structure and context to effectively trace user actions and debug issues across distributed systems. By enhancing the logging infrastructure, we can improve observability, reduce mean time to resolution (MTTR) for incidents, and gain deeper insights into system behavior.
The text was updated successfully, but these errors were encountered: