We have the root configuration element which is responsible for keeping the whole configuration. Our Gradle build file dependency section looks as follows: dependencies - %msg%n In addition to that, we need the logback-core and logback-classic libraries. In order to use it we need to include it as the project dependency. Logback uses SLF4J as the logging facade,, which you can read more about in our SLF4J tutorial. For the purpose of this blog post, I created a simple project and shared it in our Github account. Logback is a logging library used for Java-based applications and it starts where the first version of Log4j (check out our Log4j tutorial to learn more about what this library can do) ends and promises to provide improvements to that. Today we will look into Logback, the logging library that promises to improve the first version of Log4j and provide up to ten times better performance, graceful I/O failures recovery, automatic, policy-based logs removal, and more. That’s why I’ll introduce you to the next Java logging library. In order to choose the best option for your application, you should be aware of the available options.
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For example, you can just write data to a file, but there are far better ways on how to do that, which we explained in our Java logging tutorial. There are multiple ways you can log your Java applications. In this article, we will focus on logs and how to configure logging for your Java applications. Having that information will give you the possibility to slice and dice the data and get to the root cause efficiently. In the worst-case scenario, to understand what is happening and why it is happening you will need JVM metrics, Java logs, and traces combined together. Troubleshooting issues in your applications can be a complicated task requiring visibility into various components.
Application Performance Monitoring Guide.
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