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Splunk APM: New Product Features + Community Office Hours Recap!

ArifV
Splunk Employee
Splunk Employee

Howdy Splunk Community! Over the past few months, we’ve had a lot going on in the world of Splunk Application Performance Monitoring (APM) that we wanted to share. Let’s get to it!

 

APM Community Office Hours Recap

We recently hosted two terrific Community Office Hours sessions on Splunk APM. Over 60 Splunk customers joined, and we were able to address 30 of their questions, with keen insights and live demos from Product Managers, Harnit Singh and Aunsh Chaudhari, and Observability Specialist, Derek Mitchell. We covered a ton of relevant topics, including debugging microservices, auto-instrumenting the Splunk OpenTelemetry Collector, and setting up customized APM dashboards. If you weren’t able to attend, you can view the session recordings and slide decks (with the full Q&A) below!

Session #1: Recording | Deck

Session #2: Recording | Deck

 

New APM Features

Service Level Objectives

Splunk released native Service Level Objective management in Splunk Observability Cloud earlier this quarter. This helps standardize the measurement of the reliability and performance of APM services so that they are meeting customer expectations and driving business success. This feature provides a built-in framework to set and measure clear performance goals for your services, with simple alerting to notify the correct people if you are in danger of missing your targets.

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Explore our documentation to learn more, and start using SLOs in Observability Cloud today.

Integrated Trace Views

We are also excited to share APM Integrated Trace Views, another new feature that saves time and reduces complexity by providing a more intuitive way to view span metadata. Users can navigate seamlessly between the back-end trace and front end session by placing span and trace information side-by-side on one “pane of glass.”  

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Check out our documentation to learn more!

Heatmap for APM Trace Analyzer

Now available in APM Trace Analyzer, the new heatmap shows a trend of traces by duration and request rate over a specified time range. With this visualization, you can view latency patterns and identify slowness in your full-fidelity trace data. There is no additional setup or configuration required, so you can begin using this right away!

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As always, you can refer to our documentation for more info.

Cheers!

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