How to Virtualize Your IT Environment
IT professionals dream of robust networking environments that exist in a dynamically expanding and contracting dream world. They want their networking environments to be capable of processing weekly payroll, end of month commissions and end of year accounting. This kind of server “morphing” is possible through Server Virtualization.
Steps
Server Virtualization – The First Steps
Assess & Validate: Conduct an environmental assessment to define each department’s server processing needs. Deploy custom configured resource/environmental auditing agents to poll all servers to identify current totals of: CPU, memory, adaptors, and file/system capacity and total used and unallocated disk space (be sure to account for all archive file space as it often takes up 30%-40% of all data storage - much of it in duplicate and triplicate form). During this same assessment you would also identify; CPU, memory and adaptor usage peaks, read, write, and wait cycle peaks, and identify all data that has not been accessed over extended periods of time.
Rationalize and Critique: Critique your current server environment. Identify and consolidate processing-compatible applications to single servers, or you can virtualize your existing multi-server environment to share processing attributes from a common pool. Only the second choice will aid you in the reduction of purchasing new servers for every new application. As a result you would increase utilization of your existing servers from a typical 10 - 20% to a more effective and efficient 40 -50%. More importantly, you drastically decrease your “unexpected” outages while turning your one-to-one, limited-growth environment into a completely flexible and scalable solution without throwing out your existing investment.
Identify all mission critical servers. Leave those servers in a one-to-one relationship for your heavy-hitting applications such as SAP, PeopleSoft, Siebel and large OLTP databases (such as Oracle). Then, consolidate your non heavy-hitting applications (File and Print, Exchange, SQL, etc.) and virtualize the remaining servers to form a common pool of hardware resources. Finally, configure the above mentioned CPU, memory, and adaptor resource pool to be shared with the heavy hitting servers/ applications – whenever it is needed.
Stop Investing
Look around. Imagine the amount of gas that would be saved if we would all carpool with at least one more person. Stop thinking the only solution is to buy another server; chances are you are not taxing the existing servers you already have. Start “carpooling” your data and available resources!
Tap into your existing hardware pool and reduce the number of servers you feel you have to buy simply to increase on-demand processing capacity. Odds are high that you don’t need to add a server to increase your CPU and/or memory horsepower. In fact, if your IT environment is typical, you not only may not need to add to your existing server pool, but chances are you would be positioned to cascade much of your existing servers and reduce your related server budget for years to come... starting today!
Autonomic Computing: In the very near future, many of today’s production-level servers will not only be virtualized, but will be configured for and capable of performing internal performance audits or “automated health checks” (from I/O processing needs at the CPU and memory level to page and buffer credit settings at the kernel level). They will automatically adjust and/or reconfigure themselves according to their immediate system needs and be able to virtually morph - growing and contracting at will - to meet almost all on-demand needs - all with either pre-designed human involvement (decision making points – particularly when you are just starting your deployment) or, eventually, without any human intervention at all.
Virtualizing your servers will enable them to identify their own CPU, Memory, and adaptor requirements. They will reach out to idle servers and borrow capacity in order to complete immediate tasks. Then, without human prompting, these virtualized servers will return the capacity when it is no longer needed.
The ultimate goal of server virtualization is autonomic computing; capacity on-demand that provides an effective road map for managing your information systems… regardless of size, processing demands, resource needs, time of day or night, or human availability.
IT professionals dream of robust networking environments that exist in a dynamically expanding and contracting dream world. They want their networking environments to be capable of processing weekly payroll, end of month commissions and end of year accounting. This kind of server “morphing” is possible through Server Virtualization.
Steps
Server Virtualization – The First Steps
Assess & Validate: Conduct an environmental assessment to define each department’s server processing needs. Deploy custom configured resource/environmental auditing agents to poll all servers to identify current totals of: CPU, memory, adaptors, and file/system capacity and total used and unallocated disk space (be sure to account for all archive file space as it often takes up 30%-40% of all data storage - much of it in duplicate and triplicate form). During this same assessment you would also identify; CPU, memory and adaptor usage peaks, read, write, and wait cycle peaks, and identify all data that has not been accessed over extended periods of time.
Rationalize and Critique: Critique your current server environment. Identify and consolidate processing-compatible applications to single servers, or you can virtualize your existing multi-server environment to share processing attributes from a common pool. Only the second choice will aid you in the reduction of purchasing new servers for every new application. As a result you would increase utilization of your existing servers from a typical 10 - 20% to a more effective and efficient 40 -50%. More importantly, you drastically decrease your “unexpected” outages while turning your one-to-one, limited-growth environment into a completely flexible and scalable solution without throwing out your existing investment.
Identify all mission critical servers. Leave those servers in a one-to-one relationship for your heavy-hitting applications such as SAP, PeopleSoft, Siebel and large OLTP databases (such as Oracle). Then, consolidate your non heavy-hitting applications (File and Print, Exchange, SQL, etc.) and virtualize the remaining servers to form a common pool of hardware resources. Finally, configure the above mentioned CPU, memory, and adaptor resource pool to be shared with the heavy hitting servers/ applications – whenever it is needed.
Stop Investing
Look around. Imagine the amount of gas that would be saved if we would all carpool with at least one more person. Stop thinking the only solution is to buy another server; chances are you are not taxing the existing servers you already have. Start “carpooling” your data and available resources!
Tap into your existing hardware pool and reduce the number of servers you feel you have to buy simply to increase on-demand processing capacity. Odds are high that you don’t need to add a server to increase your CPU and/or memory horsepower. In fact, if your IT environment is typical, you not only may not need to add to your existing server pool, but chances are you would be positioned to cascade much of your existing servers and reduce your related server budget for years to come... starting today!
Autonomic Computing: In the very near future, many of today’s production-level servers will not only be virtualized, but will be configured for and capable of performing internal performance audits or “automated health checks” (from I/O processing needs at the CPU and memory level to page and buffer credit settings at the kernel level). They will automatically adjust and/or reconfigure themselves according to their immediate system needs and be able to virtually morph - growing and contracting at will - to meet almost all on-demand needs - all with either pre-designed human involvement (decision making points – particularly when you are just starting your deployment) or, eventually, without any human intervention at all.
Virtualizing your servers will enable them to identify their own CPU, Memory, and adaptor requirements. They will reach out to idle servers and borrow capacity in order to complete immediate tasks. Then, without human prompting, these virtualized servers will return the capacity when it is no longer needed.
The ultimate goal of server virtualization is autonomic computing; capacity on-demand that provides an effective road map for managing your information systems… regardless of size, processing demands, resource needs, time of day or night, or human availability.
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