The popularity of glog is surprising, since it hasn't been updated in several years. The two most popular logging frameworks for Go appear to be Why reinvent the wheel? Choosing a logging frameworkĭeciding which framework to use can be a challenge, as there are several options to choose from. In addition, logging is pretty much a solved problem. It's easier to gather logs from several sources and feed them to a central platform to be analyzed. It's easier to read and understand the log data.Beyond that, you will mostly likely be better off using a logging framework.Ī major advantage of using a logging framework is that it helps to standardize the log data. Using the log package is great for local development when getting fast feedback is more important than generating rich, structured logs. Unfortunately, there is no control over the order in which they appear or the format in which they are presented. When you run this program, the following will be written to logs.txt.ĩ 12:01:06 main.go:29: Something went wrong In the main function, the loggers are utilized by calling the Println function, which writes a new log entry to the log file. Logger ) func init () Īfter creating or opening the logs.txt file at the top of the init function, we then initialize the three defined loggers by providing the output destination, prefix string, and log flags. Package main import ( "log" "os" ) var ( WarningLogger * log. While it does not have log levels (such as debug, warning, or error), it still provides everything you need to get a basic logging strategy set up. The Go standard library has a built-in log package that provides most basic logging features. In many cases, regulations such as GDPR and HIPAA may forbid the logging of personal data. These restrictions can make logs less useful from an engineering perspective, but they make your application more secure. In general, you shouldn't log any form of sensitive business data or personally identifiable information. Contextual data to help understand what happened and make it possible to easily reproduce the situation.Log levels such as debug, error, or info.The timestamp for when an event occurred or a log was generated.Most of the time, you will have some variation in the following: The data you actually log will depend on the type of application you're building.
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