View this video to learn about the data center life cycle and how Schneider Electric guides you through each step no matter when you begin. From assessment to operation, you can rest assured that your data center will operate optimally with energy efficiency to reduce costs and reliably to reduce mundane maintenance.
Replay 4 completely eliminates backup windows by taking continuous snapshots of your Windows application servers, with just a 1-2% performance hit. Recover from any server outage in 15 minutes or less and use 80% less storage space for your backups.
Predicting and measuring Total Cost of Ownership (TCO) for the physical infrastructure for network rooms and data centers is required for ROI analysis and other business decision processes. This paper describes a method for determining TCO of physical data center and network room infrastructure including power, cooling and protection.
Network closets in the healthcare setting are housing more powerful and critical equipment as hospitals and ambulatory offices rely on these spaces to support an increasing number of business-critical applications such as electronic medical records (EMRs), wireless communications and digital imaging.
Technology systems such as electronic medical records and digital imaging are revolutionizing healthcare. The continuous operation of these systems has become increasingly critical. Emerson Network Power has developed three centralized UPS configurations specifically for healthcare settings.
Developments in alternative energy technology are creating solutions that provide network operators with the ability to reduce their energy costs and carbon footprint. Read this short whitepaper for more information about alternative energy sources that can make your wireless network more eco-friendly and save you money.
Tap into the concentrated power of the Dell PowerEdge C5125 microserver. Pack up to 12 PowerEdge C5125 microservers in a 3U chassis to promote efficient power use and help lower costs.
Mean Time Between Failure (MTBF) is often proposed as a key decision making criterion when comparing data center infrastructure systems. This paper explains how MTBF can be effectively used as one of several factors for specification and selection of systems, by making the assumptions explicit.
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