What are the impacts of different log levels in software development?

What are the impacts of different log levels in software development?

Different log levels, like DEBUG, INFO, WARN, ERROR, and FATAL, help categorize log messages by severity. This impacts debugging, performance, and monitoring.

Can you explain how using too many DEBUG logs can affect performance?

Yes, excessive DEBUG logs can slow down applications due to the overhead of writing logs and increased I/O operations, which can lead to performance degradation.

What log level should I use for critical errors?

For critical errors, you should use the ERROR or FATAL log level. ERROR indicates a significant issue that needs attention, while FATAL indicates a severe error that causes the application to crash.

How can I manage log levels in a production environment?

In production, it's best to set log levels to WARN or ERROR to reduce log volume. You can also implement dynamic log level adjustments based on performance metrics.