White Paper Published By: Emerson
Published Date: Dec 01, 2010
The ten steps outlined in this paper provide a systematic approach to building the
foundation for data center infrastructure management by deploying and leveraging
measurement, intelligent controls and centralized monitoring and management. Data
centers employing these 10 prescribed point solutions for infrastructure performance
monitoring stand to gain an operational, strategic and transformative advantage for their
enterprise or business.
Through these 10 steps, data center managers can automatically collect data from
infrastructure systems and sensors placed strategically within the physical space and use this
data to gain higher availability, increase efficiency, enhance the value of virtualization and
consolidation efforts and improve planning.
The idea of load balancing is well defined in the IT world: A network device accepts traffic on behalf ofa group of servers, and distributes that traffic according to load balancing algorithms and the availabilityof the services that the servers provide. From network administrators to server administrators to applicationdevelopers, this is a generally well understood concept.
Application Delivery Controllers understand applications and optimize server performance - offloading compute-intensive tasks that prevent servers from quickly delivering applications. Learn how ADCs have taken over where load balancers left off.
Ensuring the reliability and efficiency of your data center operations requires a strategic partner that is qualified to minimize energy usage, reduce costs, and optimize space utilization, helping you meet critical business initiatives.
White Paper Published By: 123Together
Published Date: Mar 17, 2009
With the current state of the economy, IT executives are being asked to stretch their budgets in order to keep their businesses profitable. In 2008, Median IT spending per user fell to $6,667 from the previous year's $7,397, according to Computer Economics. This represents a 6.2% reduction, consistent with the fact that IT managers were supporting an increasing number of users without corresponding increases in IT spending. IT spend continued to decline in 2009 and uncertainty and caution is still prevalent in 2010.
White Paper Published By: Chatsworth
Published Date: Oct 22, 2016
By using intelligent and scalable platforms, your organization can improve resource consumption, cloud utilization and more. Solid data center management platforms help empower your business and data center to consume less energy and trim infrastructure costs.
White Paper Published By: IBM
Published Date: Jul 14, 2016
How do you keep 130,000 guests safely entertained, fed, watered and informed in a sustainable way? Roskilde Festival knew that the critical insights lay hidden in huge volumes of real-time data.
The Copenhagen Business School used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival.
Download to learn more.
White Paper Published By: CyrusOne
Published Date: Jul 06, 2016
The "build-or-buy" decision between construction and colocation should be weighed carefully. This executive report will review six key factors that affect that choice, some of which extend beyond a basic TCO analysis.
Case Study Published By: Zerto
Published Date: May 31, 2016
Download this case study today to learn more about how ARA was able to complete a datacenter migration in a compressed window, and how they continue to use ZVR to deliver aggressive service levels across their infrastructure with a product that is very easy to use.
Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.