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Is your feature request related to a problem? Please describe.
Debugging production issues is difficult due to inconsistent log formats and missing context, which can hinder observability.
Describe the solution you'd like
Implement a structured logging system that:
Uses JSON format for all logs with standardized fields (timestamp in ISO 8601, severity levels, correlation IDs).
Supports context injection for better detail in logs.
Includes different log levels (DEBUG, INFO, WARN, ERROR) to categorize log messages appropriately.
Provides utilities for performance logging and log retention policies.
Describe alternatives you've considered
Using plain text logs and relying on grep for searching.
Manual JSON formatting which can be error-prone and inconsistent.
Relying solely on external Application Performance Monitoring (APM) tools without a solid logging foundation.
Additional context
This implementation will ensure that logs are more informative and conducive to debugging and monitoring, allowing for faster identification of issues and better overall system observability. Let's set a solid foundation for robust logging practices in this repository!
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Debugging production issues is difficult due to inconsistent log formats and missing context, which can hinder observability.
Describe the solution you'd like
Implement a structured logging system that:
Describe alternatives you've considered
Additional context
This implementation will ensure that logs are more informative and conducive to debugging and monitoring, allowing for faster identification of issues and better overall system observability. Let's set a solid foundation for robust logging practices in this repository!
The text was updated successfully, but these errors were encountered: