Should Everything Be Virtualized?

Storage I/O trends

Should everything, that is all servers, storage and I/O along with facilities, be virtualized?

The answer not surprisingly should be it depends!

Denny Cherry (aka Mrdenny) over at ITKE did a great recent post about applications not being virtualized, particularly databases. In general some of the points or themes we are on the same or similar page, while on others we slightly differ, not by very much.

Unfortunately consolidation is commonly misunderstood to be the sole function or value proposition of server virtualization given its first wave focus. I agree that not all applications or servers should be consolidated (note that I did not say virtualized).

From a consolidation standpoint, the emphasis is often on boosting resource use to cut physical hardware and management costs by boosting the number of virtual machines (VMs) per physical machine (PMs). Ironically, while VMs using VMware, Microsoft HyperV, Citrix/Xen among others can leverage a common gold image for cloning or rapid provisioning, there are still separate operating system instances and applications that need to be managed for each VM.

Sure, VM tools from the hypervisor along with 3rd party vendors help with these tasks as well as storage vendor tools including dedupe and thin provisioning help to cut the data footprint impact of these multiple images. However, there are still multiple images to manage providing a future opportunity for further cost and management reduction (more on that in a different post).

Getting back on track:

Some reasons that all servers or applications cannot be consolidated include among others:

  • Performance, response time, latency and Quality of Service (QoS)
  • Security requirements including keeping customers or applications separate
  • Vendor support of software on virtual or consolidated servers
  • Financial where different departments own hardware or software
  • Internal political or organizational barriers and turf wars

On the other hand, for those that see virtualization as enabling agility and flexibility, that is life beyond consolidation, there are many deployment opportunities for virtualization (note that I did not say consolidation). For some environments and applications, the emphasis can be on performance, quality of service (QoS) and other service characteristics where the ratio of VMs to PMs will be much lower, if not one to one. This is where Mrdenny and me are essentially on the same page, perhaps saying it different with plenty of caveats and clarification needed of course.

My view is that in life beyond consolidation, many more servers or applications can be virtualized than might be otherwise hosted by VMs (note that I did not say consolidated). For example, instead of a high number or ratio of VMs to PMs, a lower number and for some workloads or applications, even one VM to PM can be leveraged with a focus beyond basic CPU use.

Yes you read that correctly, I said why not configure some VMs on a one to one PM basis!

Here’s the premise, todays current wave or focus is around maximizing the number of VMs and/or the reduction of physical machines to cut capital and operating costs for under-utilized applications and servers, thus the move to stuff as many VMs into/onto a PM as possible.

However, for those applications that cannot be consolidated as outlined above, there is still a benefit of having a VM dedicated to a PM. For example, by dedicating a PM (blade, server or perhaps core) allows performance and QoS aims to be meet while still providing the ability for operational and infrastructure resource management (IRM), DCIM or ITSM flexibility and agility.

Meanwhile during busy periods, the application such as a database server could have its own PM, yet during off-hours, some over VM could be moved onto that PM for backup or other IRM/DCIM/ITSM activities. Likewise, by having the VM under the database with a dedicated PM, the application could be moved proactively for maintenance or in a clustered HA scenario support BC/DR.

What can and should be done?
First and foremost, decide how VMs is the right number to divide per PM for your environment and different applications to meet your particular requirements and business needs.

Identify various VM to PM ratios to align with different application service requirements. For example, some applications may run on virtual environments with a higher number of VMs to PMs, others with a lower number of VMs to PMs and some with a one VM to PM allocation.

Certainly there will be for different reasons the need to keep some applications on a direct PM without introducing a hypervisors and VM, however many applications and servers can benefit from virtualization (again note, I did not say consolation) for agility, flexibility, BC/DR, HA and ease of IRM assuming the costs work in your favor.

Additional general to do or action items include among others:

  • Look beyond CPU use also factoring in memory and I/O performance
  • Keep response time or latency in perspective as part of performance
  • More and fast memory are important for VMs as well as for applications including databases
  • High utilization may not show high hit rates or effectiveness of resource usage
  • Fast servers need fast memory, fast I/O and fast storage systems
  • Establish tiers of virtual and physical servers to meet different service requirements
  • See efficiency and optimization as more than simply driving up utilization to cut costs
  • Productivity and improved QoS are also tenants of an efficient and optimized environment

These are themes among others that are covered in chapters 3 (What Defines a Next-Generation and Virtual Data Center?), 4 (IT Infrastructure Resource Management), 5 (Measurement, Metrics, and Management of IT Resources), as well as 7 (Servers—Physical, Virtual, and Software) in my book “The Green and Virtual Data Center (CRC) that you can learn more about here.

Welcome to life beyond consolidation, the next wave of desktop, server, storage and IO virtualization along with the many new and expanded opportunities!

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Performance = Availability StorageIOblog featured ITKE guest blog

ITKE - IT Knowledge Exchange

Recently IT Knowledge Exchange named me and StorageIOblog as their weekly featured IT blog too which Im flattered and honored. Consequently, I did a guest blog for them titled Performance = Availability, Availability = Performance that you can read about here.

For those not familiar with ITKE, take a few minutes and go over and check it out, there is a wealth of information there on a diversity of topics that you can read about, or, you can also get involved and participate in the questions and answers discussions.

Speaking of ITKE, interested in “The Green and Virtual Data Center” (CRC), check out this link where you can download a free chapter of my book, along with information on how to order your own copy along with a special discount code from CRC press.

Thank you very much to Sean Brooks of ITKE and his social media team of Michael Morisy and Jenny Mackintosh for being named featured IT blogger, as well as for being able to do a guest post for them. It has been fantastic working them and particularly Jenny who helped with all of the logistics in putting together the various pieces including getting the post up on the web as well as in their news letter.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Determining Computer or Server Energy Use

Recently I posted a response to a question over at IT Knowledge Exchange (e.g. ITKE) about how to determine power or energy use.

In a nutshell:

Depending on what you are looking for, or trying to accomplish, you may, or may not need a formula per say.

For example, if all you need to know is how many volts, amps, watts, kva, or btu’s are used by a particular computer or other IT device for that matter, first things first check the “tag” or “label” on the device as well as included documentation, or, on-line spec sheets and documentation.

There are also some measuring devices including among others Kill A Watt that you can plug a device into and see volts, amps, watts, and so forth.

Ok, that might have been the obvious and easy part, now on to the next step.

Often a name plate may give kva however not watts, or perhaps amps and volts however not kva or some other metric. This is where the various conversion formulas come into play.

For example, if you know volts and amps, you can get watts, if you know kva along with watts, amps or volts, you can derive the others, or, if you have btus, you can watts, or if you know watts you can get btus and so forth.

Btu/Hour = watts * 3.413
Watts = Btu/Hour * 0.293
Watts = Amps * Volts
Volts = Watts / Amps
Amps = Watts / Volts
VoltAmps (Va) = Volts * amps
KVA = (Volts * Amps) / 1000

Here’s a link to some additional conversions and formulas that along with many others are found in my new book “The Green and Virtual Data Center” (CRC).

www.thegreenandvirtualdatacenter.com/greenmetrics.html

In “The Green and Virtual Data Center” (CRC). book, there is an entire chapter on metrics, where and how to find them, formulas, conversions as well as other related items including determining energy costs, carbon footprints, cooling and more across servers, storage, networks, facilities along with associated management tools.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved