A common API for all your application logging.So to finish up with the abstraction layer – it gives us a few major advantages compared to using the : Starting with SLF4J 2.0 the fluent logging API was introduced, but at the time of writing of this blog it is still in alpha and is considered experimental, so we will skip it for now as the API may change. We use the LoggerFactory class to retrieve the logger for our class and we use a dedicated info method of the Logger object to write the log message using the INFO level. For example, if we would like to just start our application and print something to the log it would look as follows: Let’s start by looking at the out of the box code.
Mapped diagnostic context code#
You can imagine the process of writing the log message in the following, simplified way:īut how would that look from the code perspective? Well, that’s a very good question. It provides bindings for common logging frameworks such as Log4j, Logback, and the out of the box package. SLF4J – The Simple Logging Facade for Java is one such abstraction layer. If you wish to use one of those frameworks and you would also like to be able to switch the framework in the future you should look at the abstraction layer on top of the logging APIs. Certain libraries provide easy to configure formatters, out of the box industry standard destinations and top-notch performance. There is nothing wrong with that, but note that this will limit you can do with your logs. Of course, your application can use the basic logging API provided out of the box by Java via the package. The Log4j 2 is the go-to framework for many projects out there both open and closed source ones. In most cases, the SLF4J with bindings to the logging framework of your choice will be a good idea.
Mapped diagnostic context update#
You will only have to update the dependencies and configuration, the rest will stay the same. Such an approach gives you the flexibility to switch to a different logging framework when needed and, what’s most important, without needing to change the code. Don’t go that route if it means using an outdated technology when a newer and mature alternative already exists.įinally, if you are selecting a new logging framework I would suggest using an abstraction layer and a logging framework. Why? Because you will probably want to have your logs in a single place and it will be easier for you to just work with a single configuration or pattern. Majority of the third party applications also use Log4j 2? If so, consider using it. Are you using Elasticsearch? It uses Log4j 2. However, if your organization does not have any kind of common logging framework, go and see what kind of logging is used in the application you are using. That also means that you may already have an easy way to ship your logs to a log centralization solution of your choice, and you just need to follow the existing pattern. It is very likely that you will already have an established format for your logs. If you already have a framework of choice that the majority of your applications use – go for that.
You have to think and look at your current environment and organization needs. The best logging solution for your Java application is….well, it’s complicated. Logging Frameworks: Choosing the Logging Solution for Your Java Application
Mapped diagnostic context how to#
In this blog post we will focus on how to properly set up logging for your code to avoid all those mistakes that we already did. Sounds complicated? It doesn’t have to be. This can come in handy if you ever need to replace your logging library for whatever reason – for example performance, configuration, or even simplicity. On top of that, there are also abstraction layers that enable easy switching of the underlying framework without the need of changing the implementation. There are frameworks for Java that provide the object, methods, and unified configuration methods that help setting up logging, store logs, and in some cases even ship them to a log centralization solution. Logging in Java could be done just by easily writing data to a file, however, this is not the simplest or most convenient way of logging. Today, we’re going to focus on your Java applications. To fully understand the environment you need logs and traces. When it comes to troubleshooting application performance, metrics are no longer enough.
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