We recently released a new version of HP Virtualization Performance Viewer (vPV) - capacity management and performance monitoring tool for virtualized and cloud environments.
In this blog, we will take a closer look at the advanced capabilities introduced with the latest version of HP vPV 2.20.
Unified physical, virtual and business view with HP OneView integration
HP Virtualization Performance Viewer offers advanced integration with HP OneView. vPV complements the single pane of glass manageability for the physical infrastructure elements that OneView offers with its capacity optimization, planning, forecasting capabilities for physical, virtual, and cloud environments.
The new Unified Enclosure View provides a visual representation of clusters and server hardware overlaid on the physical enclosure. It offers a quick display of resource utilization and days to capacity projection for the server hardware and clusters. The provided modeler capability enables an infrastructure administrator to model server downtime and understand its impact on the clusters. You can identify risks in cluster layout design which enables you to rebalance the clusters appropriately across enclosures. You can also find spare capacity to mitigate risks. This extra capacity can be un-configured servers in your enclosures or under-utilized servers that are available in your infrastructure.
HP Virtualization Performance Viewer also provides best-fit resource forecasts and projections for the clusters that helps administrators in planning capacity ahead of time. An administrator can choose to flex the cluster based on current utilization trends or to accommodate future growth.
Capacity optimization, forecast and placement for KVM
The new release of vPV extends the capacity optimization, placement and forecasting capabilities for KVM hypervisors.
Virtualization Performance Viewer provides a comprehensive view of the resource usage, allocation and utilization for the KVM hosts. It analyzes the utilization metrics and delivers right-sizing recommendations for the virtual machines running on KVM hosts. The right-sizing of virtual machines helps to reclaim unused resources and improve the host-VM consolidation ratio—as well as improve the performance of the workloads. You can also get optimal placement recommendations for new virtual machines in the KVM environment. With resource utilization forecasts you can examine usage trends and projections for the next 30, 60 and 90 days. vPV also provides a capacity modeling capability to simulate “what-if” conditions like adding new VMs, cloning VMs or deleting hosts. This allows you to see the impact on the capacity utilization and understand future requirements.
vPV automatically detects performance anomalies and saturation symptoms in the KVM environment and issues alerts with its out-of-the-box alerting mechanism. With the OMi management pack for vPV, you can directly integrate with OMi to forward topology and alerts so you can monitor the virtualized environment from OMi.
This video discusses advanced capacity planning through what-if modeling and analysis
Utilizing business metric analysis to plan capacity based on business growth
vPV’s Business Grouping capability allows you to customize the operational view of the virtual infrastructure based on your business applications, services, lines of businesses or departments. You can log appropriate business metrics into vPV and correlate them with infrastructure performance and utilization metrics to analyze the trends.
The new Business Metric Analyzer helps analyze the impact of changing business conditions on infrastructure performance and utilization metrics. For example, the business condition, could be the number of transactions as observed by the business application. With the help of business metric analyzer, you can determine if the underlying VM infrastructure can handle an increase in transactions, say from x to 5x.
Based on predictive analysis, vPV provides appropriate resource configuration recommendations for the virtual machines in the business group. This helps to size and plan for any upcoming changes in your business conditions.
Resource metering to examine cost
vPV now offers showback and chargeback reports to help you understand resource utilization and the costs incurred of virtualized workloads. The metering is performed at business group level – which means you can generate reports based on your business applications, departments, lines of businesses, etc. The report offers provider cost based on resource allocation like CPU, memory and storage for the specified time period. You can also see potential savings or expenses that you can expect by applying the virtual machine right-sizing recommendations as provided by vPV.
Performance visualization of Amazon EC2 instances
With this new release, vPV ventures into the realm of monitoring public cloud. vPV now provides support for Amazon Web Services EC2 instances. You can visualize the performance of your instances in vPV’s treemap interface to quickly identify hotspots and patterns of behavior. The workbench function of vPV allows you to perform historical performance analysis with the metrics collected for your EC2 instances. You can also install the HP Compute Sensor component in your instances to launch the real-time guest OS drilldown capability. This allows you to get real-time visibility into the applications and processes running in your instances which aids in quicker troubleshooting of any problems.