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Data Center Additional Resources

We monitor and continually optimizes data center environments for clients and proactively identifies datacenter performance, problem identification and resolution, and patch management. We perform regular preventative maintenance services and provide remedy reporting and resolution. Our implementation processes and procedures based on ITILv3 and industry best practices support a secure datacenter environment.

We possesses extensive experience providing mission-critical Datacenter Management services. Our approach ensures reliable and continual data asset availability—wherever and whenever our clients need it. Our managed services infrastructure approach provides engineering, capacity planning and operations and maintenance—the full lifecycle of Datacenter Management activities.

Our engineers work with clients to improve mission success by developing and implementing a Datacenter Management plan focusing on capacity management to increase data and processing center performance.

We integrate disparate technologies into a single consolidated operational environment that is easy to manage and maintain for maximum efficiency. Upgrades and maintenance operations are seamless to allow the newest technology to be brought online without service interruptions. Just-in-time provisioning of infrastructure components ensures high availability of mission and corporate applications to help clients consolidate data, ensuring improved utilization of storage space and components.

We also provide COOP and disaster recovery planning to ensure worry-free operation. Automated online and offsite data backup provide redundancies, as does tape backup with manned vaulting services and secure tape pickup and delivery services. Technology is an important factor in how efficiently your entire organization can perform. When you need help, timing becomes critical.

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Based on the analysis performed on the existing server environment in the previous chapter, this chapter covers the virtualized solution. The Capacity Planner run in the previous chapter produced a tremendous amount of data about the environment, taking the guesswork out of the drawbacks to the existing environment.

It results in a more efficient new solution. Based on the statistics, the ideal virtualized server solution can be crafted with predicted results. This chapter covers the new solution based on the Capacity Planner and some of the technologies integral to the solution, including blade technology.

The last section covers blades in general, which you'll want to review if you're not familiar with blades technology. Capacity Planner produced a set of general server recommendations. These recommendations can be implemented in the form of standalone servers or blade servers. An overview of blade servers is presented later in this chapter.

As discussed in Chapter 2, several HP servers meet these requirements. To achieve maximum rack density and accommodate future growth, HP BladeSystem was selected as the target platform. Figure shows the BladeSystem proposed along with shared storage replacing the individual servers. The savings the client will realize from reducing the servers to 12 blades is immense, and the Return on Investment ROI is discussed in the next chapter. The virtualized environment also requires shared storage, which partially existed before the virtualized design was crafted.

The old shared storage was outdated, and the client determined that they needed new shared storage whether the virtualized environment was implemented or not. To complete the savings estimate, I must calculate the power and cooling required to support the new environment. Table covers the blade solution power and cooling. The totals shown in Table were painstakingly determined based on the specific client requirements and the BladeSystem configuration.

The power and cooling numbers for the blades compare favorably with the power and cooling from the existing server solution, as shown in Table and covered earlier. I created power and cooling from both tables using the HP Power Calculator. The comparison between the existing and new virtualized solutions are compelling in terms of the power and cooling saved, shown in Table Many other factor make up payback, such as floor space, but from purely a server standpoint, you can't do much better than that.

How to measure the data center energy efficiency

Because of the immense savings in power and cooling, this client decided to double the blades environment to accommodate the planned growth of roughly servers over the next year. Figure shows 12 blades in a rack, which replaces the existing server environment and will be doubled to support the additional servers over the next year. Figure shows how little space in the rack is consumed by the 24 blades. There is a substantial amount of space left for additional components.

This huge savings in floor space is part of the ROI covered in Chapter 4 along with the many other savings realized by the blades-based virtualization solution.

VMware and SAP: A Dynamic Relationship

Some key assumptions are produced in Capacity Planner in order for the new, virtualized environment to operate:. Differences in configurations can impact sizing and may require modeling additional scenarios. If not all ports are active, more ESX hosts may be required to distribute the potential network load to avoid network-based performance bottlenecks.

Non-identical hardware will limit the ability to use VMotion and restrict the ability to shift loads across multiple ESX hosts. VMotion allows you to move a virtual machine from one physical server to another with no impact to users. These assumptions are key to designing the target solution. Select assumptions can be changed; however, this may result in a modified solution and affect the ROI.

A blade is a server in a format that allows it to be inserted into an enclosure housing numerous blades. The enclosure provides some common services, such as power, cooling, management, network, and SAN interconnects. The blade has its own resources, including processor s, memory, disks optionally, NICs, and other components. Each blade requires its own operating system, just like a rack-mounted or tower server, and is used in a way similar to any other physical server. The blades used in the virtualized solution presented in this chapter are part of the HP c-Class BladeSystem. A significant amount of equipment was refurbished and sold.

The information technology functions is implementing multiple green IT strategies focused on cost reduction and sustainability. Replacing old equipment was the most popular strategy, with 95 percent reporting new energy efficient equipment as part of their strategy, followed by monitoring power consumption 94 percent , server virtualization 94 percent , and server consolidation 93 percent.

Server Virtualization | Server Consolidation | VMware | LATAM

Additionally, more than half 57 percent of respondents see software-as-a-service offerings as green solutions. Most desktops and servers today are in use only eight to 15 percent of the time they are turned on, yet they consume 60 to 90 percent of the normal workload power even when idle. VMware vSphere has advanced resource and memory management features that will enable consolidation ratios of or more and dynamically power off unneeded servers, which increase hardware utilization to as much as 85 percent.

Every server retired from a datacenter saves an estimated four tons of CO2 emissions, equivalent to taking 1. Similar opportunities for savings are available for desktop PCs, which can be consolidated on servers in the datacenter using VMware View. VMware vSphere 4 is expected to be generally available during the second quarter of Dell launches next-generation data center infrastructure products that improve energy efficiency and positions the company to support green IT strategies through the concept of the hidden untapped, unrealized data center.

Alcatel consolidates global data center footprint, saving costs, energy, and complexity.


BridgeX, together with Mellanox ConnectX adapters and switch solutions, provides full end-to-end true networking consolidation for building green data centers and the most efficient high-performance clustering. With BridgeX, data centers will be able to retain the value of legacy storage and Ethernet systems, while maximizing overall efficiency and guaranteeing a future-proof infrastructure. Another example of open source making an impact on CO2 emissions. In just three months, BNZ was able to consolidate its servers and reduce its front-end systems datacenter footprint by 30 percent.