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SysTrack Use Case: Investigating Problem Applications with SysTrack

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SysTrack Use Case: Investigating Problem Applications with SysTrack
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One of the goals at Lakeside is to make IT systems as transparent as possible so as to reveal the problem areas in the environment that most need to be addressed in order to improve the end-user experience. Some of the most frequent culprits impacting end-user experience are applications with excessive and unexpected resource consumption or continual faults, errors, and hangs. Fortunately, SysTrack provides several tools and various methods with which these problem applications can be addressed. I’ll be giving a quick walkthrough of these, covering the cases in which the problem application is unknown and needs to be identified and then moving into how to go about monitoring a known problem application more closely. In no way will the list of methods I provide be exhaustive but they can serve as a strong starting point.

Let’s begin with the first case, the unknown application that is potentially tanking performance and productivity and just being a general pain for end-users. Assume for a moment that there have been reports of impacted performance on several systems in the environment and a handful of rather unhelpful support tickets have been generated. “My Outlook is slow, my internet is taking forever, my BLANK keeps crashing.” You have a – hopefully short – list of users, systems, and the times at which they were experiencing difficulty; but where do you start the search? The first tool to utilize when given such a specific location and timeframe is SysTrack Resolve. Launch Resolve and change focus to select a system to observe, then navigate to the Overview section to see a list of all recent impacts on end-user experience discovered by SysTrack.

Read the entire article here, SysTrack Use Case: Investigating Problem Applications with SysTrack
via the fine folks at Lakeside Software.

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Lakeside Software Lakeside Software is a leader in Workspace Analytics. We make SysTrack, a scalable, people-centric solution that helps organizations better understand and support end-users' computing needs and habits, as well as make sourcing and deployment decisions based on real data.

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