Frontline Performance Intelligence & Real End User Experience Management

In order to accurately and clearly define what Frontline Performance Intelligence is, it is important to first understand what comprises “real” End User Experience.

Monitoring “Real” End User Experience

To truly monitor "real" End User Experience, comprehensive and precise metrics that describe how End Users actually experience the IT Services they consume need to be measured in real-time. The three primary components that dynamically interact, at all times, to influence End User IT experience are: 

• Desktop Performance – Real or Virtual: Running processes, CPU and Memory Utilization, Non-responding processes, Crashed Applications, Error Messages, Process Latency, etc. 

• Application Performance – Response Time, Throughput, Latency and End-to-end Transaction time for any business activity independent of the underlying application technology including HTTP(s), Citrix/ICA, Terminal Server/RDP, Client/Server, Java, etc.
   
• User Productivity – Number of business activities performed, e.g. emails sent or received, trades completed, calls closed, etc. Application, module and function usage statistics, correlative nature of application usage, application usage trails, etc.

What is Frontline Performance Intelligence?

Frontline Performance Intelligence is the result of the real-time aggregation, analysis, and correlation of all the metrics that define “Real” End User experience. It is enabled by self-learning, statistical modeling of dynamic performance baselines, preemptive problem detection, dynamic isolation of impacted users and probable cause analysis. Front Performance Intelligence drives key business initiatives such as business and IT performance correlation, informed capacity planning, service-level orchestration, and application usage compliance.

The Aternity Frontline Performance Intelligence Platform is comprised of three core components:

• The first is a MONITORING component responsible for the real-time monitoring of the three primary components that impact end user experience.
   
  In addition to Application and Desktop performance and User productivity monitoring, the Aternity platform monitors environmental attributes such as the machine type, OS Patch version, installed applications, running processes, amount of RAM, NIC setting, etc. All WMI and registry attributes are supported.
   
• The second component is the ANALYTICS AND CORRELATION ENGINE, responsible

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  for transforming vast amounts of frontline performance related metrics, into meaningful and actionable data sets, via its self-learning, statistical modeling and trending algorithms.
   
  Automatic generation of dynamic performance baselines and autonomic user performance profiles, as well as preemptive problem detection, impacted user isolation and probable cause analysis - are all functions of the analytics component of the platform.
   
  Application usage trail extraction, compliancy analysis and insight into the correlative impact of the use of one application on another, as well as the impact of a new feature or a new version on user productivity, are all examples of services provided by the analytics and correlation engine. All the environmental attributes, previously mentioned, are all used in the correlation engine.
   
  Understanding the correlation between frontline user experience and business impact, is one of the primary roles of the platforms correlation engine, and all the environmental attributes, previously mentioned, are used in support of this function.
   
• In order to drive key business and IT initiatives, Frontline performance intelligence needs to be immediately accessible, clearly visualized, and rapidly integrated with existing enterprise tools and technologies. This is the responsibility of the third component of the platform, arming IT and Business executives with REAL-TIME, RIGHT-TIME BUSINESS INTELLIGENCE and decision support.