Digital experience monitoring is only effective if incidents are detected immediately and the data aids in quick root cause analysis and resolution. To track the availability, reachability, performance, and reliability of each component in the application delivery chain, different teams within an organization, use multiple tools. Each of these tools generate huge volumes of data that can make it difficult to gain any meaningful insight or even to correlate relevant KPIs.

Managing different tools and consuming multiple data streams can result in missed failures. Layering Catchpoint’s data and analytics empowers IT Ops and DevOps to predict and prevent problems associated with the end-user experience. Splunk is a popular platform for operational intelligence that the IT team makes sense of all data and noise that they deal with daily. It offers intuitive data visualizations and the ability to integrate with varied data sources. With Catchpoint’s integration with Splunk, you can now combine all these powerful features and correlate data from Catchpoint to gain better performance insights.

Correlate Performance Data

End-to-end visibility across the entire service delivery chain is vital to reduce mean time to resolution (MTTR). The Catchpoint-Splunk integration can help you accelerate incident detection and resolution. Splunk ingests data from sources such as server logs and other application logs and even APM data, all such data can be viewed alongside end-user monitoring data from Catchpoint to increase observability. With Catchpoint’s Splunk integration, you can: 

  • Correlate Catchpoint’s external performance data alongside data from APM, logs files, or other internal performance data.
  • Share Catchpoint data and visualizations across teams and external stakeholders within Splunk UI. 
  • Configure comprehensive alert thresholds and send Catchpoint alerts directly to Splunk. 

How Does it Work?

The Catchpoint-Splunk integration uses the REST API to request raw performance data and alerts from Catchpoint. This data can be used to correlate with data from other systems such as APM or machine data to improve troubleshooting efficiency and cross-system reporting in Splunk.

To set up the integration, you will need to download the “Catchpoint Search” app from Splunkbase. Once you have downloaded the app:

1. Login to the Catchpoint portal and generate the authentication keys needed to set up the API calls.

2. Next login to your Splunk account, under Apps > Search & Reporting and click on “Install app from file”

3. After uploading the file, you will see the Catchpoint Search option in the Splunk home screen.

4. Setup the Catchpoint app, enter the necessary information to start the app.

5. Create an “Index” for Catchpoint so that Splunk is able to understand and transform the data from the API calls.

6. To import data from Catchpoint to Splunk and create visualizations go to Data Inputs. Click on the “Catchpoint Modular Input” and create a new data source.

7. After adding the data, click on the Catchpoint Search tab and then on Dashboards to view Catchpoint Visualizations.

The implementation is easy and once you have the application set up, you can generate graphs and other data visualizations for detailed and effective analysis using the Catchpoint Splunk integration.

Conclusion

When most of your performance and availability issues occur outside your organization’s own IT infrastructure, insights across the entire service delivery chain is needed for fast resolution. The speed to respond to an incident is vital to ensure customer expectations are not just met, they are exceeded. Catchpoint integrates with Splunk to provide real-time monitoring and observability to elevate the user experience and provide predictable outcomes for the operations teams.

  • Support real-time operations: Digital experience monitoring aids in providing real-time visibility into the end-user experience.  You need to know that something happened when it happens. 
  • Isolate the problem: There is no shortage of data for organizations to analyze. Identifying the signal that something is wrong from the everyday noise is needed in order to act.
  • Transform data into action: Being able to support a fully available service delivery chain is a challenge even when everything is working, but when something fails, your team needs data that informs how to resolve the problem.
  • Accelerate speed to resolution: Solving issues as quickly as possible reduces the severity of user impact and enables your team to focus on your customers.

Multi-tool integrations in a distributed environment enhance observability. Join Catchpoint at the Splunk Virtual Event on September 16th to learn more about DevOps and Observability.