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Make Your Log Entries Meaningful With Context. Use a Standard Date and Time Format. Use Local Time + Offset for Your Timestamps. Employ Logging Levels Correctly. Split Your Logging to Different Targets Based on Their Granularity. Include the Stack Trace When Logging an Exception.
Don't Write Logs by Yourself (AKA Don't Reinvent the Wheel) Log at the Proper Level. Employ the Proper Log Category. Write Meaningful Log Messages. Write Log Messages in English. Add Context to Your Log Messages. Log in Machine Parseable Format. But Make the Logs Human-Readable as Well.
Use a standard and easily configurable logging framework. Use a logging framework with flexible output options. Use a standard structured format like JSON. Create a standard schema for your fields. Don't let logging block your application. Avoid vendor lock-in.
Logging statements are used to record valuable runtime information about applications. Each logging statement is assigned a log level such that users can disable some verbose log messages (e.g., debug messages) while allowing the printing of other important ones (e.g., error messages).
Some application events should be logged: For major components of an application we may log lifecycle events like start, stop and restart. Some security-related events may be logged such as unauthorized URL access attempts, user logins etc. Some resource thresholds may be exceeded and should also be logged.
In mathematics, the common logarithm is the logarithm with base 10. On calculators, it is usually “log”, but mathematicians usually mean natural logarithm (logarithm with base e 2.71828) rather than common logarithm when they write “log”.
The base-10, or “common”, log is popular for historical reasons, and is usually written as “log(x)”. If a log has no base written, you should generally (in algebra classes) assume that the base is 10. The other important log is the “natural”, or base-e, log, denoted as “LN(x)” and usually pronounced as “ell-enn-of-x”.
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