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Diagnosing Severe Performance Issues for a Defense Contractor with End User Experience Monitoring

Case Study

Diagnosing Severe Performance Issues for a Defense Contractor with End User Experience Monitoring

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Using End User Experience Monitoring to trace months of performance complaints to their source, and give security and operations teams a single set of facts to act on.

A defense contractor running a heavily secured device estate had been dealing with sustained performance complaints across its workforce. Staff reported applications that were slow to respond, unreliable connectivity, and long delays when opening files. The complaints were widespread and persistent, but the cause was contested. With several plausible culprits and no objective data to settle it, internal teams disagreed on where the problem 
actually sat.
 

Key Outcome 1

Endpoint Security Load Identified as Primary Cause

Monitoring data showed the organization's security tooling was consistently driving endpoint CPU and disk IO to their limits during normal work, the dominant factor behind the complaints, confirmed with hard measurement.

Key Outcome 2

Device Requirements Redesigned Around Data

With the load quantified, the organization revised its device requirements and security configuration so endpoints could carry the mandated tooling without degrading the day-to-day user experience.

Key Outcome 3

Security and Operations Working From Facts

The empirical data gave both teams a neutral reference point, reducing the friction between security and operations once the conversation was grounded in measurement.

Key Deliverables of the Project

End User Experience Monitoring Deployment

Maintech deployed managed monitoring across user devices, key websites, and core file services, capturing how the environment was performing for staff in their everyday work rather than relying on reported symptoms alone.

Empirical Performance Analysis

Device CPU, memory, and disk IO were measured alongside connectivity and file-access timings, then correlated against the periods when users experienced slowdowns. This established what the devices were doing under normal use and where the bottleneck sat.

Root Cause Findings and Recommendations

Maintech identified the security stack as the primary driver of endpoint load, documented several smaller server-side issues that were contributing factors, and provided clear recommendations the internal teams could act on to optimize the environment.

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