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Cisco UCS Performance Manager

Cisco UCS Central

Important Features

The Next Generation of Integrated Infrastructure Management

Cisco UCS Performance Manager is a purpose-built data center operations management solution. It unifies the monitoring of key applications, business services, and integrated infrastructures across dynamic, heterogeneous, physical, and virtual Cisco UCS-powered data centers.

With technology from Zenoss, this Cisco solution delivers granular device monitoring from a single customizable console. Cisco UCS Performance Manager uses UCS APIs to collect data from UCS Manager to display comprehensive information about all UCS infrastructure components.

With a customizable view, data center staff can see application services and view performance and component or service availability information for Cisco UCS integrated infrastructures. For example, staff can view business-critical application performance metrics running on a virtual or physical server. They can also see the status of an individual fan running in a Cisco UCS chassis without having to use another tool.

Major Features

UCS Performance Manager dynamically collects information about UCS servers, network, storage, and virtual machine hosts using an agentless information gathering approach. The solution:

  • Unifies performance monitoring and management of Cisco UCS integrated infrastructure solutions
  • Delivers real-time views of fabric and data center switch bandwidth usage and capacity thresholds
  • Discovers and creates a relationship model of each system, giving staff a single, accurate view of all components
  • Allows staff to navigate into individual UCS infrastructure components when troubleshooting and resolving issues

Major Benefits

UCS Performance Manager provides deep visibility of UCS integrated infrastructure performance for service profiles, chassis, fabric extenders, adapters, virtual interface cards, ports, and uplinks for granular data center monitoring.

Customers can use UCS Performance Manager to maintain service-level agreements (SLAs) by managing optimal resource allocation to prevent under-provisioning and avoid performance degradation.

And by defining component or application-centric views of critical resources, administrators can monitor SLA health and performance from a single console, eliminating the need for multiple tools.