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HPE IMC Service Health Manager Software
HPE IMC Service Health Manager (SHM) Software is an Intelligent Management Center (IMC) optional module providing end-to-end service monitoring and service through visualization of infrastructure or network variances in the service path. It leverages data derived from other IMC components to yield critical performance metrics and aggregates key performance indicators to generate key quality indicator metrics.
Key quality indicators (KQIs) provide a visual representation for network administrators on their defined services and take proactive measures to maintain service level agreements.
HPE IMC Business Service Performance Software
The HPE IMC Business Service Performance (BSP) Software is an Intelligent Management Center (IMC) module, targeted at support of data centers and large campuses, or remote sites that rely on centralized services. IMC BSP Software creates a holistic service health score dashboard for activity, health, availability and other factors for each individual customer-defined service.
This score uses data from the IMC platform, and optionally from SHM, APM and NTA modules to reflect the status of the application, servers, VMs, and network hardware that make up the service, giving a overall service view.
HPE IMC Virtual Application Networking Fabric Manager Software
HPE Intelligent Management Center (IMC) Software, with the optional HPE IMC Virtual Application Networking Fabric Manager Software, includes added functionality called HPE FlexFabric Network Analytics. When HPE FlexFabric Network Analytics is combined with the HPE FlexFabric 5940 or 5950 Switch it delivers real time visibility of microburst network congestion which negatively impacts overall network operations and performance.
Microbursts last only for sub seconds making its detection difficult by today’s network monitoring tools such as SNMP. HPE FlexFabric Network Analytics enables the network operator to pinpoint these microburst congestion points and their sources. This gives the network operator granular visibility into these spontaneous congestion points. With this information operators will be able to analyze in more detail their network configuration and make the necessary adjustments as needed for optimal network performance.
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