PlateSpin Recon Features

Are you relying on best guesses to identify underused physical servers and virtual hosts? PlateSpin Recon's unique workload profiling tracks actual CPU, disk, memory, and network utilization over time, on both physical and virtual hosts.

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PlateSpin Recon's Virtual Capacity Management finds underused resources in your virtualized IT environment and lets you reclaim or reassign allocated resources.

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With PlateSpin Recon you get a true enterprise-scale workload analysis, planning and management solution that works across platforms.

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PlateSpin Recon remotely collects inventory and performance data with no need to physically touch data center servers. PlateSpin Recon's run-once inventory collector gathers comprehensive server inventory data. Performance data is collected regularly via standard OS instrumentation capabilities. You can also import utilization data directly from your existing monitoring tools.

Robust data collection, analysis and planning for all servers in the network puts PlateSpin Recon in a class all its own for large-scale data center consolidation projects. You can aggregate data from geographically-dispersed PlateSpin Recon data collectors for centralized data warehousing, analysis and planning. This also accommodates larger implementations.

The PlateSpin Recon Capacity Planning Module automatically analyzes the five critical dimensions of workload—CPU, disk, memory, network and time—across thousands of servers simultaneously. This gives you consolidation plans that maximize utilization while minimizing resource contention.

Automatically generate server consolidation plans based on detailed workload analysis to ensure the optimal fit between server workloads and virtual resources. Stagger multiple workloads evenly across virtual hosts and account for hourly peaks and valleys inherent in server utilization trends. The ability to use forecasted data ensures that plans are built to accommodate future growth.

Create multiple custom scenarios with user-defined target server specifications, including server templates or existing virtual machine servers, to create an optimal consolidation plan.

Make better consolidation choices based on sophisticated analysis of resources, workloads and utilization trends. Tight integration with VMware vCenter (formerly VirtualCenter) provides greater visibility into your virtual infrastructure, improving data center management and operations.

Predict future workloads and resource utilization based on historical trends to better plan for server consolidation and infrastructure growth. This lets you be more proactive in your systems management. Forecasting data on CPU, disk, memory and usage trends is presented in easy-to-read charts, reports and plans.

Compare and contrast potential power and cooling cost savings and ROI derived from different consolidation scenarios. Custom fields allow power and cooling requirements for major hardware platforms to be maintained in a central database. This lets you analyze and cost-justify green computing initiatives.

Run virtual machine growth reports to monitor the proliferation of virtual machines and avoid the administrative headaches associated with virtual machine sprawl.

Because virtualization creates a pool of computing resources, it can be difficult to manage and monitor how virtual resources are being used and by whom. PlateSpin Recon allows you to effectively allocate and share virtual resources across various business units and departmental owners. PlateSpin Recon's flexible charge-back reporting capabilities improve virtual infrastructure management and financial accounting by allowing organizations to accurately calculate IT costs based on actual resource usage.

PlateSpin Recon's Resource Reclamation reports identify gaps between allocation and actual utilization. Closing these gaps maximizes the virtual resource capacity of existing infrastructure. This extends useful service life and lets you postpone new hardware purchases.

PlateSpin Recon can help improve the performance of workloads by identifying hidden configuration errors in virtual machines.