Five Steps to Cloud Computing Nirvana

By Dennis Barker

November 7, 2008

Once you’ve started down the path of virtualization, you’re on the road to nirvana. Or at least cloud computing nirvana. At least according to rPath. According to the “cloud computing adoption model” the company recently made public, virtualization is the first step for organizations seeking to one day take advantage of cloud computing.

It’s not a big surprise that rPath would focus on this as the first step. The company provides tools for turning applications into virtual appliances, a process it calls application virtualization. Conceptually, however, it makes sense as a starting point for any development team or IT manager sketching out a cloud scenario, and it’s something with which many companies are familiar.

“Virtualization is critical because it allows you to decouple the application from the infrastructure,” said rPath chief strategy officer Billy Marshall during a presentation of the adoption model. “You have to do this to get the benefits of cloud computing, but you have to think about your infrastructure in a way to avoid locking yourself into one hypervisor platform.”

Beside the famous benefits of virtualization (e.g., hardware consolidation and power bills), virtualization can result in faster application deployment and, if done right, ability to scale up rapidly to meet business demands. “Once you’ve decoupled app from infrastructure, and it can be seamlessly deployed across any environment, you’ve completely simplified the process of spinning up a new app,” says Jake Sorofman, rPath’s vice president of marketing. “You’re closing the gap between development and production. It usually takes four to six months to deploy a new app; it’s an iterative, manual process because of the variability between application and underlying operating bits. With our virtualization technology, you can compress that process down to days instead of months.”

Because you can run into challenges when decoupling app from infrastructure, rPath says Level 2 should be “cloud experimentation.” The best place to do that, the company says, is Amazon’s Elastic Compute Cloud. “EC2 is a great way to get your feet wet and hands dirty,” Sorofman says. “We recommend companies get experience with EC2 as a way to become familiar with the cloud. The barrier of entry is so low you can afford to try things out.” (You can get a fingertip wet with a virtual appliance here.)

This phase is the time to build up knowledge about cloud computing, and Marshall believes it is important to have both the IT department and the line-of-business people involved in parallel. It’s also a time to start gathering metrics, identifying bottlenecks and putting issues on the table. Application architects should be thinking down the line about how to design software for this environment.

The heavy lifting begins with Level 3. This is where you lay the foundation for a scalable application architecture, Sorofman says. “Taking what you’ve learned from experimentation, start deploying real applications in the cloud,” he explains. “Work through provisioning apps on demand. Take your reference architecture and turn it into working processes.” This also is the time to come up with policies and best practices.

“Try to assess demand for an application, because that should determine how much infrastructure you’ll need,” Marshall says. Also, “operationalize an approach that lets you work with any hypervisor.”

Lifecycle management becomes crucial at this point, Sorofman says, because you want consistency, repeatability and maintainability of your virtualized application images. Otherwise, scalability is not going to work so well. “Adopt a lifecycle management system and become familiar with configuring and maintaining images. You also want a platform that guarantees that image updates can be pushed out to all cloud units simultaneously,” he says.

At Level 4, you really get down to it. This “cloud exploitation” stage means full-scale, broad-based deployment of applications in either an internal cloud or external cloud. At this point, you’re operating in the cloud as a production environment, Marshall says. This is time to tweak apps and revisit metrics. One warning from Marshall: “Keep in mind that not all apps are suited to run in the cloud, but being able to take advantage of cloud computing can deliver real ROI, savings in capital expenditures and so on.”

Then, in some undetermined future, following further technological developments, those who have mastered the four levels will be prepared for the “hypercloud” that dynamically shares workload and offers self-service provisioning. “Nirvana,” Marshall describes. “You’ll have the capability to dynamically select a target environment at runtime based on the needs of the application.” Load balancing tools will determine the best environment to dispatch operations, based on available compute power. Applications can automatically be sent to a cloud that’s never busy at night. Tools will be able to do instant cost comparisons and deploy applications on that basis. too.

“At this point, clouds will become a commodity,” Sorofman says. “You’ll be able to share workloads across clouds. Applications will move seamlessly. You’ll be able to pour across clouds, take advantage of cost differentials, or move according to business rules. You could also build composite apps that draw on different services from different clouds.” When this will happen “is hard to say,” Sorofman says, “but by the time most companies get to Level 4, the technologies to enable Level 5 could be mature enough.”

Seeding Clouds

The value that rPath brings to cloud computing is “foundational,” Sorofman says, in that the company provides tools to turn applications into virtual appliances that can run in EC2 or any other cloud environment. “We want to make it easy for companies to move apps to an on-demand environment.”

rBuilder simplifies the process of creating application images, he says. “We let you combine your application with any other components you need and just enough operating system to create an application image, an application appliance, that will run optimally on any virtualized infrastructure,” he explains.

rPath’s Lifecycle Management Platform automates configuration and maintenance, backup, and other image-admin tasks. “We provide policy-based definition to make sure images are exactly reproduced,” says Sorofman, “and being able to reproduce multiple images from a single image greatly reduces errors.”

rPath also offers rBuilder Online, which “walks developers through the process of packaging a Linux application as an Amazon Machine Image,” Sorofman says. The related rBuilder Catalog provides a simple interface for launching, managing and retiring EC2 application images.

KnowledgeTree, an rPath customer, provides document management systems for small and medium businesses. Its application was being downloaded about 15,000 times a month, but the company got the notion it could reach more customers if it could sell its software as a service, an on-demand offering. To save time and money, the company wanted to use as much of its current application as possible and not have to do extensive recoding. The company says turn its application into a virtual appliance running on Amazon EC2 took much less time than it would have to build from scratch, and it also saw development and maintenance costs drop by 40 percent. KnowledgeTree says the combination of rPath’s tools and Amazon Web Services allowed it to provide quickly an application that scales transparently to meet user demand.

Of course, not everyone will have the same results as easily, but rPath and other software developers — including companies with vastly different approaches like 3Tera and Elastra — are paving the on-ramp for applications to run in the cloud. With its adoption model, rPath also is trying to offer a “graduated” approach to attaining the full benefits of cloud computing, with users advancing along with the technology.

“I don’t know if this hypercloud is three years, five years or ten years away, but it’s not going to take a miracle to make it happen,” Marshall says. “It’s going to take people working together.”

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!

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 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…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre 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…

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…

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…

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…

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