Summary

I suggest creating a reusable logger package that can be used across the entire project.
The package will support logging with context (to propagate request IDs, trace IDs, user info, etc.) and without context for standalone scripts, background jobs, or quick logging needs.

Why This Is Needed

Currently, different parts of the project use varied logging styles and configurations.
This can lead to:

• Inconsistent log formatting
• Missing crucial trace/debug information
• Difficulty in filtering/searching logs in centralized logging systems (e.g., ELK, Loki, CloudWatch)
• Repetition of setup/config code in multiple places

Proposed Features

1. Unified Logging Interface

   • Standard methods: Info(), Debug(), Warn(), Error(), Fatal()
   • Consistent log format (JSON or text, based on config)

2. With Context

   • Extract and log metadata from context.Context (e.g., request_id, trace_id, user_id)
   • Makes it easier to correlate logs in distributed systems

3. Without Context

   • Simple logging for non-request flows or scripts

4. Configurable

   • Log level via config/ENV (DEBUG, INFO, WARN, ERROR)
   • Output to stdout, file, or external log aggregator

5. Production-Ready

   • Structured logging (key-value pairs)
   • Optional integration with observability tools (e.g., OpenTelemetry)
   • Thread-safe

Benefits

• Consistency – All modules log in the same structured format
• Debuggability – Context-based logs help trace requests end-to-end
• Maintainability – Single point to adjust logging behavior across the codebase
• Scalability – Works well with centralized log collection and filtering
• Performance – Optimized logger avoids redundant I/O and unnecessary string concatenations

Suggested Implementation

• Use uber-go/zap for high-performance, structured logging.
• Wrapper functions to make usage simple and consistent across the project.