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IT infrastructure resources

White Papers | Case Studies

White papers

White Papers

Enabling the real-time enterprise using Prognosis
Author: Integrated Research
This technical paper discusses why real time enterprises require real-time systems management and demonstrates how Prognosis systems management software fulfils this requirement.


Prognosis Smart plugin for HP OpenView
Author: Integrated Research
Read how Integrated Research developed and certified a Prognosis Smart Plug-In for HP OpenView Operations (OVO), and how it extends OVO to discover, monitor, receive events, provide service views, and issue corrective commands to HP NonStop systems running Prognosis.


OSS management for NonStop return on investment
Author: Integrated Research
This white paper spells out why monitoring of the performance of your HP NonStop platform and OSS is crucial to your business.


Discover the power of HP NonStop Business Service Insight
Author: Richard K. Buckle - Pyalla Technologies
This whitepaper explains how to unlock the hidden value of existing HP Non Stop systems and drill down through the layers that make up an application today.


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Case studies

White Papers

Prognosis and the University of Virginia's Medical Center
Author: Integrated Research
Read how The University of Virginia is managing the expansion of its medical center's automated hospital billing system with Prognosis precise performance management software.


Helping Vodacom keep 15.5 million customers in constant contact
Author: Integrated Research
Read how Vodacom, South Africa's largest mobile network operator is providing a world-class GSM service to more than 15.5 million customers across Africa with the help of Australian-developed Prognosis systems management software.


IT Services Hungary and Prognosis
Author: Integrated Research
IT Services Hungary and Prognosis: A case study for integrated management Read how the dynamic team at IT Services Hungary reduced their operating costs by integrating their system monitoring, fault detection and escalation processes with Prognosis.


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