Virtual Machine and Server Consolidation Software Solutions
Products
PlateSpin products allow organizations to adopt, manage and extend their use of server virtualization in the data center. With support for physical and virtual machines, as well as images, our products improve the speed and quality of server consolidation, hardware migration and disaster recovery initiatives.

 
Uses of PowerRecon

Rapidly collect inventory and utilization data across thousands of servers.
Save time and effort by automating the collection of server inventory, workload and resource utilization data.

PlateSpin PowerRecon allows organizations to remotely discover server hardware and software assets across the entire data center – regardless of the various virtual machines, operating systems and hardware platforms deployed. With support for Windows, UNIX and Linux platforms, PowerRecon collects detailed information for each server in the network such as operating system, installed and running applications or services, patch levels, CPU, memory, network and disk resources. PowerRecon also identifies workloads and monitors utilization data over days, weeks or months to determine utilization trends. By collecting the key data points needed to access and match workload sizes and resources, PowerRecon helps ensure that the data center is continuously optimized.


Plan data center initiatives based on concrete data, analysis, trending and forecasting.
Take the guesswork out of data center initiatives and achieve optimal results based on concrete data and analysis.

PowerRecon provides the most advanced scenario modeling, forecasting and planning capabilities available for data center initiatives. Create scenarios for distributing workloads across servers to maximize utilization and minimize resource contention. Use powerful what-if modeling to determine different combinations of hardware and virtual hosts and proactively account for future growth by using forecasted workload and utilization values. Enter your own standard hardware builds for experimentation, generate a consolidation or recovery plan with detailed project, scenario, workload assignment, and create environmental impact reports and charts. Compare and cost-justify different scenarios based on power and cooling, total cost of ownership, consolidation ratio and rack space needs.


Gain a clearer view of server workloads with advanced reporting and visualization.
Increase visibility into ongoing resource utilization to keep the data center continuously in balance.

PowerRecon provides customizable graphical reporting to view and manage workload and resource utilization over time for optimal data center operations. Sort server workloads by CPU, memory, disk, network, inventory and/or performance and compare power, cooling, space, cost and utilization metrics to identify workload and resource mismatches. View summary workload sizing and power and cooling data or drill down to point-in-time granular levels using detailed tabular reports and time-series charts. Create management reports by designing charts and customized report templates, and easily generate the energy savings reports required to qualify for utility rebates. Schedule the automated delivery of reports via email and FTP to IT optimization specialists and service providers so they can easily track the state of the data center from anywhere in the world.


Accelerate data center initiatives by automatically generating executable plans.
Automated planning and execution ensure a rapid return on investment from data center initiatives.

Together, PlateSpin PowerRecon and PowerConvert provide the only solution that automates project assessment, planning and execution from start to finish. Organizations can accelerate data center initiatives by using PlateSpin PowerConvert to execute PowerRecon plans and stream physical servers into virtual environments. Consolidate and protect servers using virtual and blade infrastructures and maximize consolidation ratios by leveraging intelligent workload-based resource configuration. Minimize resource contention and the overhead of ongoing migration by optimally balancing workloads across target servers.