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uberAgent 5.0.1: Splunk 7.1, Data Model Acceleration Auto-Skewing

We are happy to announce the newest version of our user experience and application performance monitoring product. uberAgent 5.0.1 adds support for Splunk 7.1 and brings many other improvements.

For a full list of changes, please consult the release notes. As always, upgrading is highly recommended (instructions).

Splunk 7.1

uberAgent now fully supports the significant user interface updates Splunk introduced in version 7.1.

Data Model Acceleration Auto-Skewing

This is something we are particularly proud of: “our” first feature suggestion got implemented in Splunk Enterprise.

uberAgent makes extensive use of accelerated data models for greatly enhanced dashboard search speed (for details see the blog posts to Helge’s Splunk .conf 2015 session).

Put simply, when a data model is accelerated, an additional index is built that is populated by searches that run every five minutes. Without the new auto-skewing feature, all data model acceleration searches were scheduled to run at exactly the same time, which would fail due to concurrency limitations. With version 7.1 Splunk learned to distribute the acceleration searches across the available time range. This promises to effectively get rid of skipped searches – and we are very happy to report that it does exactly that!

Auto-skewing is now enabled for uberAgent’s data model. It causes a (harmless) warning message on Splunk versions prior to 7.1 during a restart of Splunkd. To remove that, simply comment out the setting acceleration.allow_skew in datamodels.conf.

About uberAgent

uberAgent is a Windows user experience analytics and application performance monitoring product. Its highlights include detailed information about boot and logon duration (showing why and when boots/logons are slow), application unresponsiveness detection, network reliability drilldowns, process startup duration, application usage metering, browser performance per website and remoting protocol insights.

About vast limits

vast limits GmbH is the company behind uberAgent, the innovative user experience and application performance monitoring product. Our customer list includes organizations from industries like finance, healthcare, professional services and education, ranging from medium-sized businesses to global enterprises. vast limits’ network of qualified solution partners ensures best-in-class service and support anywhere in the world.

Our founder, Helge Klein, is an experienced consultant and developer who architected the user profile management product whose successor is now available as Citrix Profile Management. In 2009 Helge received the Citrix Technology Professional (CTP) award, in 2011 he was nominated a Microsoft Most Valuable Professional (MVP), in 2014 he was a Splunk Revolution Award Winner, in 2015 he became a VMware vExpert. Helge frequently presents at conferences and user group events.

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