VKernel Keeps Hershey ‘In the Know’ on Virtualization

By Dennis Barker

November 26, 2008

You could call it Marvin Gaye Impulse, the need to know “what’s goin’ on.” At the IT command center that runs world-famous Hershey Park and other units of Hershey Entertainment and Resorts, they call it being “in the know.”

“We want to do what we can to make the datacenter team in the know,” says Jon Blomeier, datacenter analyst for the Pennsylvania-based company.

Blomeier’s broad purview includes “everything virtual,” and when the team was given the directive of becoming more “in the know” about the virtualized infrastructure, he needed to find some new tools. They’re running VMware ESX on IBM System x3650 servers and were using VMware’s VirtualCenter for management, but “VirtualCenter doesn’t let us look at all the things we want to see,” he says. “We wanted to monitor proactively, and be able to find out why things were happening. We needed something that was gathering data on critical processes like CPU and I/O and memory and reporting in a way that would allow us to react before there’s bad impact on the environment.”

After checking out a few options, Blomeier went with a pair of virtual appliances from VKernel, whose founder, Alex Bakman, says virtual appliances “will prove to be the best approach to simplifying systems management in the datacenter.”

The Hershey team adopted VKernel’s Capacity Analyzer to monitor shared CPU, memory, network, storage and disk I/O utilization trends across its VMware environment, and Chargeback, which provides details about who is using which resources and the costs. VKernel is strictly for VMware at this point, but HyperV is next, Bakman says.

“We’re for the user who needs visibility into their deployment as far as capacity is concerned,” Bakman explains. “How much capacity is left? Where is capacity unused or wasted? We let them go in and see where they can add virtual machines, identify areas of overallocation, see who’s using what resources, and then use that information to make intelligent decisions about how capacity can be better used.”

One of the most useful things about Capacity Analyzer is “it can alert us to problems before they can happen,” Blomeier says. VKernel refers to the appliance’s “predictive analytics” capabilities, serving up data that can be used to adjust resources for maximum performance. Blomeier checks the reports from Capacity Analyzer everyday to get his intelligence briefing on how things are running and where there might be fires smoldering. “I’m constantly looking to see how many days to warning levels on things like CPU and memory resources,” he says. “VKernel makes this information really easy to have.”

“One thing we’re doing with Capacity Analyzer is a summary report that gets e-mailed to our staff every day, a snapshot that shows what’s happening with our entire environment,” illustrates Blomeier. “We can see the current top five capacity bottlenecks, and the top five future ones. It can basically tell us if we don’t do something in 10 days, we’ll run into an issue. We can see all the constrained resources, how many more virtual machines we can fit, the top three data stores that are running out of disk, and the top resource consumer in each category. You can drill down further, to see things like which CPUs are most available.”

Having a firm handle on utilization is a big deal. As Bakman points out, that information can help customers allocate resources judiciously to avoid performance degradation and downtime, avoid buying infrastructure that’s not really needed, and safely increase the number of VMs. “Capacity is very expensive,” he says. “One myth about virtualization is it’s always cheaper, which it is in the long run, but in the short term it’s not. If you can reclaim 20 percent of your capacity — even if you’re talking about a $100,000 investment — that is real money.”

Beside the deep visibility and alerting capabilities, Blomeier says ease of deployment and affordability also sold him on the VKernel appliances.

Bakman says simplicity is part of what distinguishes his software’s approach from traditional system management vendors like IBM, HP and CA. “You can download and see the value of our software in about an hour. Because we support the Open Virtual Machine format (OVF), the end user can literally deploy our appliance by going into Virtual Center, giving it a URL, and clicking deploy instantly. A software appliance should have all the simplicity of a consumer appliance. Also, we don’t do like Office and give you 150 features when you only need five. Every appliance has only what you need and nothing more to complicate things. The idea of system management is to aid system management.”

Although Hershey hasn’t yet officially instituted a chargeback program, it is able to use VKernel’s Chargeback appliance to see how different departments are consuming resources.

“The issue with virtualization and chargeback is that the traditional model for expensing hardware does not work,” Bakman says. “All resources are shared, things are shared between virtual machines. Organizations want to know how they charge end users so that they’re able to repay the money they’re spending on hardware. Our idea is to help them meter resource utilization by various corporate centers so they can allocate costs.”

Now You See It …

Andi Mann, who covers virtualization and systems management research director at Enterprise Management Associates, says the biggest problem VKernel solves is the lack of visibility into who is using virtual resources, and how much they are using. “Virtualization adds several layers of complexity, so with normal management tools a lot of granular data about resource utilization gets lost,” he explains. “As a result, physical servers can get overloaded with virtual machines, causing performance to suffer, or physical servers can sit underutilized, not running as many VMs are they can, so consolidation projects are less effective, potential cost savings go unrealized, and costs may even rise as hardware purchases continue to increase.”

VKernel can “drill down into the hidden layers of complexity, showing exactly what resources are being used, how much capacity is available, and what workloads can be co-located. So all resource utilization in the virtual environment is optimized — stacking as many VMs as possible onto each physical server, but doing so in a way that ensures performance and availability are not affected,” Mann says.

Data from VKernel appliances also can be used to solve some, though not all, of the political issues surrounding shared resources. “With tools like VKernel, IT can point to hard metrics that show exactly which applications have been using which virtual resources, eliminating that finger-pointing over who is using what in the virtual environment,” he says.

Ready for Prime Time?

Still, Mann doesn’t appear convinced that virtual appliances are yet the ultimate answer to the complexities of virtual systems management – an area Mann calls “the major challenge for virtual infrastructures today.”

“I do not think virtual appliances are ready for prime time,” he says, “and in EMA research, virtual appliances were the least desirable form factor of any for datacenter management tools (selected as a preference by only 12 percent of 230+ respondents).”

“Virtual and physical appliances are just a bundled operating system and application, but without any of the normal controls over system selection, build, hardening or management that is standard in a normal operating environment,” Mann explains. “Very few, if any, enterprises will allow any regular system — even a radically slimmed-down system — into their production environment without management capabilities like performance monitoring, patch distribution, firewall, malware detection, security administration, etc.” Until virtual system management appliances have these capabilities, he adds, “their uptake will be limited, especially in large enterprise environments with strict standards for new system deployments.”

Blomeier says he’d like to see VKernel add features like automatic baselining and templates for setting alerts, but that for his purposes — continuously monitoring shared resources, receiving “proactive alerts” and being able to adjust capacity before trouble occurs — VKernel’s appliance “is what we were looking for.”

Blomeier isn’t the only one looking for something more. In a survey conducted by Enterprise Strategy Group, only 24 percent of VMware users said they feel “very confident that the current tools for managing their VMware environment were sufficient to maintain existing IT service levels.”

Virtual appliances don’t cure everything, but that is not stopping their proliferation or significance. VMware offers a shopful of them, as does Sun, and some of the most prominent enablers of on-demand computing use appliances for one thing or another. 3tera, for example, runs applications as scalable appliances within its AppLogic grid operating platform. rPath offers a platform, rBuilder, for assembling virtual appliances for VMware and other environments.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announced its second fund targeting €200 million. The very idea th Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. In a way, Nvidia is the new Intel IDF, the hottest chip show Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in its cloud service.  Google claimed the CPU is based on cut Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire