Supercharge Your Splunk Analytics with OverOps

 ● 27th Jun 2018

3 min read

How Can OverOps Help You Gain More From Splunk?

Most companies, organizations, and developers know and probably use, Splunk. It helps aggregate and simplify data for dev and ops teams, allowing them to capture, index, and correlate real-time data in a searchable repository.
Splunk does so by utilizing log files. These usually hold a massive amount of information that can be important and even critical when things go wrong. Through it, teams can take control of their logs, as well as try to understand what went wrong and how they can fix it.

We share Splunk’s vision. We, too, believe in open standards, and our goal is to help users maximize the value of the machine data that our technology provides. That’s why we created the OverOps plugin for Splunk, that allows you to search through your data, analyze it, and understand it better than before.
The combination of OverOps and Splunk:

  • helps developers and QA search through all of the errors and exceptions that occurred in the application. This information includes not just logged errors, but also uncaught and swallowed exceptions that never make it to the log files.
  • enables developers to troubleshoot issues more quickly. With the addition of the OverOps tiny links within a log file, you can find where the error occurred using Splunk and then easily link to OverOps to access complete insight into what happened.

OverOps and Splunk help you gain valuable and actionable data, allowing you to find the root cause of any issue or error. This root cause includes much-needed information such as the line of code in which the error was thrown, the full stack trace, and complete vision into the state of each variable and JVM at the time of the error.
By providing the complete information to understand what went wrong, you’ll be able to reproduce and fix issues faster and better than before.
Check out our short video to see how OverOps and Splunk can work together:

On Splunk’s side, you’ll be able to profile the data collected through their dashboard and see in a glance the applications, deployments, servers, and methods that were affected by different issues. You’ll be able to analyze and monitor your application’s health, which includes the number of new errors that were detected, the number of errors that resurfaced, and other information that is beneficial for your team and product.
Being able to get the two sides of the coin is priceless for both small companies and large organizations, helping them focus on how and what they should focus on in their product, and help them deliver better products to their customers.
Learn more about how OverOps and Splunk can work together to help your application.

Henn is a marketing manager at OverOps covering topics related to Java, Scala and everything in between. She is a lover of gadgets, apps, technology and tea.

Troubleshooting Apache Spark Applications with OverOps OverOps’ ability to detect precisely why something broke and to see variable state is invaluable in a distributed compute environment.
Troubleshooting Apache Spark Applications with OverOps

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