Minimizing Production Headaches with Log Tracing

Log tracing is a powerful tool for investigating errors in modern architectures where multiple services and APIs are involved. It involves adding an identifier to each log that can be used to aggregate data, allowing for easier tracking of requests through their entire flow. To implement log tracing, two key concepts must be understood: aggregating logs for each request and separating business logic from infrastructure. This can be achieved by adding a trace ID to every log written for a request, passing the trace ID with IO operations, and using interceptors to add tracing data to logs and requests without touching existing code. By implementing log tracing, developers can significantly reduce the complexity of investigating errors in production, making it easier to identify and solve issues quickly.