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JouleX Energy Manager for Data Centers

Are you one of the thousands of Data Center professionals searching for an energy management platform that provides visibility, analysis, and control to the entire data center while supporting service level agreements, the JouleX Energy Manager (JEM) for Data Centers is gives you all of that and more. 

New JEM capabilities allow data center operators to manage the utilization of their resources in an agile and efficient way, through in-depth visualization and expanded device support for virtualization and storage devices.

In addition, data center operators now have the ability to model for dependent energy, physical and network topologies. JEM’s new capabilities also include reporting features that enable data center operators to make fully informed decisions when determining where to increase rack density, recapture hidden capacity, and pin-point stranded energy.

JEM for Data Centers supports physical and virtual servers, switches, routers, storage devices, PDUs, UPS devices, CRAC units, Cisco UCS, Cisco EnergyWise devices and more. 

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JEM’s Agentless Technology measures, manages, and reports energy usage in the data center at a granular level in order to:

Gain Unprecedented Energy Visibility into Your Data Center

  • Remote Management: Determine a monitor, analyze, and control energy usage of devices or systems throughout the data center without software agents, from a central location.
  • Simplified Maintenance: Reduce the complexity of traditional agent-based energy management solutions. No disruptive quality assurance (QA) cycles for patches or new operating system changes.
  • Recapture Stranded Power: JEM enables you to recapture stranded power in your power distribution units (PDUs).
  • Dynamic Energy Measurement: Measures dynamic energy consumption and utilization of any device attached to the network.
  • Quick Time to Benefit: Installation and device auto-discovery in hours, not days or months.
  • Produce Powerful Analytics: Quantify, justify, and prioritize energy savings and carbon reduction savings.
  • Schedule Alerts:  Based on customer-defined thresholds to alert on power, utilization, and temperature conditions.

Support Sustainable Procurement™ practices:

  • Realize significant immediate and long-term cost savings: Savings can be applied toward reinvestment in new infrastructure or services.
  • Determine Total Cost of Ownership (TCO): by utilizing actual power consumption, energy cost, and environmental impact.
  • Comparative Analysis: Shows device-to-device and system-to-system comparisons of life cycle energy use and operating expenses for energy efficient IT infrastructure.
  • Power Consumption Savings Potential: Identify savings potential based on actual energy demand, not overstated manufacturers’ faceplate.

Virtualization Identification and Optimization:

  • Increased Visibility: recommend candidates for virtualization by identifying under-utilized and low density servers consuming the most energy, as well as automatically manage energy use from the rack level all the way down to the application and virtual machine.
  • Determine Prime Candidates for Virtualization: pinpoint under-utilized servers and low-density servers consuming the most energy.
  • Remove Energy Drains: identify dead and idle servers for retirement.

Perform Load Adaptive Computing:

  • Enable Power Capping: Allocate the right amount of power for devices and systems in the data center as they perform productive work; minimizing the energy supplied when idle or operating at less than full capacity.
  • Accurately Measure Utilization and Energy Loads for system and applications at the server, virtual machine, and application level while dynamically allocating computing resources as they are needed.

Provide Business and Energy Context to Power Capacity Planning:

  • Detailed Reporting: Compile actual data on energy consumption and utilization by device, rack, make, model, etc.
  • Improve Power Utilization Efficiency (PUE);Data Center Efficiency/Data Center Infrastructure Efficiency (DCE/DCIE).
  • Model future data center growth around power.

Report Enterprise Sustainability:

  • Understand energy consumption, utilization, costs, savings and carbon emissions by device, location, cost center, division and time of day.
  • Support Regulatory Compliance with carbon accounting requirements and energy usage reporting.

Use Policies to Automate Response to Demand Requests:

  • Include technical devices as part of a utilities-sponsored demand response program.
  • Control energy costs by setting policies that reduce consumption during peak pricing times and situations.

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