Splunk Logging

Everyone understands the significance of logs in the IT industry. Logs have been used for a variety of purposes, including IT processes, framework and user management, business intelligence, confidentiality and availability, and many others.

Centrally controlled logging largely determines existence for development companies, particularly when it comes to troubleshooting the application, detecting issues, securing the implementation due to unforeseen knocks on services, or reviewing the user's performance, among other things. A few of the benefits of a consolidated logging system include minimal maintenance, easy log looking, graphical interface, and so on.

Splunk Logging Overview:

Splunk is a software program that allows us to monitor, search, illustrate, and evaluate machine-generated data (for example, application logs, data from websites, and database logs) to big data using a web-based interface.It is sophisticated software that indexes and searches log files stored on a system or similar device. It is also scalable and powerful software. Splunk fills gaps that a simple single log management software, a security information product, or a single event management product cannot.

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Splunk Logging with the java:

Let's all customise Splunk on a Java project environment and how users can utilize the use of Splunk to look at the various possibilities of logging examples. To accomplish this, we must first complete a series of steps – and assuming that everything is in order, we will proceed to look into a Java example and test our application with various combinations of logging with Splunk.

Integrating splunk with Java Project:

  • Integrate Splunk logging into your Java project.
  • Select one of the available options and install the logging library.
  • To configure your logging system, open a TCP input on your Splunk instance and log your events.
  • Finally, use the SplunkCimLogEvent class to generate log entries in a readable format.

Given that you can configure Splunk logging for your Java projects or any other computer languages with which you plan to use Splunk, we will move on to the logging examples. This theme provides information on the easiest ways to develop events for Splunk Software to index.

According to the steps outlined above, at the time of writing, the article had chosen Logback as its logging library and provided sufficient artifacts to get yourself UP and Running with a practical prototype in Java. Given that Splunk Enterprise is operating on localhost and on the default port of 15000, let us now configure a TCPAppender to Logback because it does not come with one. On the one hand, the setup seen below describes the required setup to get you started.

logback.xml

<configuration>

<appender name="socket" class="com.splunk.logging.TcpAppender">

<RemoteHost>127.0.0.1</RemoteHost>

<Port>15000</Port>


<layout class="ch.qos.logback.classic.PatternLayout">

<pattern>%date{ISO8601} [%thread] %level: %msg%n</pattern>

</layout>

</appender>

<logger name="my.splunk.logger" additivity="false" level="INFO">

<appender-ref ref="socket"/>

</logger>

<root level="INFO">

<appender-ref ref="socket"/>

</root>

</configuration>

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This configuration would then focus on ensuring that users generate a log back library empowered logging on the Java project with name my.splunk.logger, which logs from one's INFO messages to the highest level of ERROR messages.

By importing com.splunk.logging, we can now create our own logging class. SplunkCimLogEvent and then use that class to create events for logging the required information as needed.

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Key-value pairs:

Log.debug(“orderStatus=error, errorcode=546, userId=%d, orderId=%s”, userId, orderId)

It is one of the easiest ways to enhance debug information to the application log using Splunk and any other logging framework. It really is strongly recommended that users log data in purposeful key and value pairs for Splunk's use, as Splunk can put its very own selection of characteristics, such as Reportage, in use to provide constructive information on evaluating the same.

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It is very straightforward for anyone to use a simple google search (for example, orderStatus=error) to get all of the specifics at once. In addition, if users are using Splunk's Reporting feature to retrieve a report based on the order status, it becomes very simple (for example, success=96%, error=3%, cancelled=1% ).

One of the easiest ways to enhance key/value pairs to the logging is as seen below; the same example regarded above was amended for clarity.

logger.info(new SplunkCimLogEvent(“KeyValuePairEvent”, “keyValuePairEventID”) {{


addField(“orderStatus”,”error”);


addField(“errorcode”,”546”);


}});

Using stack traces for exceptions:

In cases and scenarios at which exceptions are expected, you always can depend on the stack trace of exception to debug the errored out scenario thoroughly. There is a way to accomplish this using Splunk by including stack-trace related details alongside the key/value pairs as shown in the preceding example. But for the time being, we'll focus on adding the necessary exception stack-trace to our logging source.

Using the addThrowableWithStacktrace() method, the exception is formatted and added to your logging source.

logger.info(new SplunkCimLogEvent(“StacktraceEvent”, “stacktraceEventID”) {{


addThrowableWithStacktrace(exceptionObject);


}});

Using auth-actions:

When you really need to log and check user identification activities, or even trace back all the actions conducted by a particular user on your application, this feature comes in handy. To define the action taken on the resource, use the setAuthAction() method. Let us look at an example of its application:

logger.info(new SplunkCimLogEvent(“AuthActionEvent”, “AuthActionEventID”) {{

setAuthAction(“LoggedIn”);


setAuthAction(“LoggedOut”);


}});

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Conclusion:

In the above blog post, we attempted to deconstruct what Splunk can do as self - contained software but where it can be used. We also attempted to comprehend how to use the Splunk logging function to evaluate your software logs.

I feel this post has offered you with all of the information you need to fully grasp the concept. If you want to learn more about this topic, we recommend reading the Splunk documentation.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.