What are common mistakes in logging?

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Accepted Answer

One prevalent mistake in logging is failing to strike the right balance, often leading to either excessive logging that inundates systems and impacts performance, or insufficient logging that provides little to no debugging context. A critical error is the exposure of sensitive data, such as personally identifiable information (PII) or credentials, which poses significant security risks. Furthermore, developers frequently overlook the importance of consistent log levels and formats, making log analysis and automation incredibly challenging. Another common oversight is the absence of meaningful context, like correlation IDs or user IDs, hindering the ability to trace requests across systems. Lastly, ignoring proper error logging, particularly by omitting stack traces or relevant variable states, severely impedes effective troubleshooting.