Cloud Computing: Improving Enterprise IT Efficiency and Agility

By Nicole Hemsoth

September 8, 2010

Cloud computing may be considered a new phenomenon in IT, but, in many ways, it is an evolution propelled by new IT delivery models and enabling technologies. Initially, driven by cost concerns, enterprises turned to collocation as a more efficient IT delivery model. The next logical step, managed hosting, allowed enterprises to leverage the management expertise – and efficiencies – of service providers. At the same time, new enabling technologies, such as virtualization, utility computing, web services, and service oriented architecture (SOA), have already yielded newer and greater data center efficiencies, resulting in more enterprise-friendly IT delivery models.

But, even with these new delivery models and technologies, enterprises must still plan for uncertainty. What will average demand look like? What additional IT resources will be required to handle expected and unexpected demand spikes? There are no easy answers to these questions, forcing enterprises to build out their IT infrastructure to accommodate projected peak demand requirements, incurring capital and operational costs for idling and underutilized servers, as well as for additional physical space, power and cooling. Cloud computing addresses these uncertainties, bringing predictability, agility, and cost-efficiency to the enterprise.

So, what exactly is cloud computing and who stands to benefit? At its core, cloud computing is on-demand provisioning and usage of elastic IT services. Cloud computing employs a pay-for-use billing model, ensuring that users pay for only what they provision and consume. Early-market cloud offerings were ideal for application development. Software developers, for instance, could quickly provision resources to accommodate their project requirements, and then turn off these resources once the development project reached completion.


Defining the Enterprise-Class Cloud

However, these first-generation cloud offerings lacked enterprise-class characteristics creating a significant barrier to more widespread enterprise adoption.  More recently, service providers have been rolling out cloud services targeted at enterprises. This is good news for enterprises, but a discerning eye is still required to accurately assess the enterprise-class capabilities of these offerings.

So, what should enterprises look at when evaluating cloud services? Sure, they must present economic value. That’s a given. But, total cost of ownership, though important, is at best, a minimum requirement. Enterprises must also look closely at reliability, security, and transparency. And, perhaps what truly defines an enterprise-class cloud service is management.


Full Transparency, Flexible Management

The cloud service should provide enterprises with the tools – a web-based management console, for instance – for real-time monitoring, provisioning, and management of resources, including computing capacity, memory, storage, and bandwidth. Highly granular management capabilities ensure that enterprises use only the resources they need. Some cloud service providers also allow enterprises customers to use the management console to monitor the performance of applications on the infrastructure cloud.

Though some enterprises prefer to self-manage their resources, most enterprises require a more comprehensive management capability from their cloud service providers. Why? As enterprises start moving more of their workloads to the cloud, the complexity of managing the cloud environment becomes more complex and challenging. Without an appropriate level of management from the service provider, issues, such as VM sprawl, can eat away at the benefits of a cloud service.

So, what is an appropriate level of management? That depends on the scale, complexity, and type of workload.  An enterprise-class cloud service provider should offer several management configurations, to address a range of customer requirements. Enterprises that need reliable production environments for critical and complex applications, typically require a fully monitored and managed infrastructure cloud, along with various managed services, including network management; security management; disaster recovery; and SAS70 or PCI compliance.

Other enterprises may only need an on-demand, fully monitored infrastructure, giving them insight into how their infrastructure is being used, and allowing them to optimize their IT environments and use resources more efficiently. Finally, some enterprises may prefer – at least, initially, a self-managed option. A self-managed configuration is appropriate when an enterprise is using the cloud as a robust test environment that does not tax their in-house data centers. In this scenario, the sandbox offers a robust build-destroy-build environment for deploying multiple test environments, with a range of choices for operating systems, databases, and middleware.


Enterprise-Class Infrastructure and Intelligence

The infrastructure goes a long way toward defining the service. An enterprise-class cloud service must be built on highly-resilient, state-of-the-art enterprise-class infrastructure – both hardware and software – which must be configured for high-availability. High-speed connections to physical servers should be coupled with load balancing technology to ensure that even the most complex applications scale to meet business demand.

Advanced cloud platforms also have built-in intelligence. Dynamic instrumentation, for instance, enables the cloud infrastructure to react to changes in application requirements. Using probes to monitor application performance, the infrastructure scales up or down – automatically – to meet the immediate needs of the application.

Enterprise-class cloud service should have a geographically dispersed footprint. Enterprise customers can choose a specific regional datacenter to deploy their cloud, perhaps reducing bandwidth costs and satisfying certain regulatory requirements.
A geographically dispersed footprint also enhances disaster recovery and business continuity, which should be integral to an enterprise-class cloud service. Enterprises must assess the disaster recovery capabilities of cloud service provider and receive assurances – in the form of service level agreements – that even in worst-case scenarios, they will be back on-line quickly.


Highly Secure Platform and Service

An enterprise-class cloud service should also ensure the security, privacy, and integrity of enterprise applications and data. A cloud service should provide all of  the security measures associated with traditional hosting environments, including two-factor authentication; network intrusion detection and prevention; automated vulnerability scans; and third-party penetration testing. Advanced firewall technology should provide intelligent threat defense with advanced capabilities, including identity-based access control and denial of service (DoS) attack protection. Additionally, data centers should be compliant with SAS 70 Type II requirements for physical and logical security.
Security should also extend to the management interface. Role-based access control, for instance, ensures that users have only the permissions required for their business or support roles. The service provider should also be able to set permissions on objects or groups. All activity should be logged for auditing purposes.
An Adaptable and Transparent Cloud

Enterprises have differing requirements. Some may want to dive into the cloud service pool, while others may want to test the waters first. An enterprise-class cloud service must be adaptable – able to accommodate different deployment models. Enterprises should consider the following:

• Customized Solutions: Enterprise cloud services are not “one size fits all.” Cloud service providers need to work closely with enterprise customers to build robust, highly customized solutions to address unique and varied IT requirements.

• Virtual and Dedicated Infrastructure Services: Some enterprises are not ready to make a full commitment to the cloud. They may, for instance, have concerns about certain sensitive applications and data. Or, they may have to comply with certain regulations. These enterprises may still be leveraging some aspects of a cloud service. The underlying enterprise cloud platform should enable customers to combine virtual and physical infrastructure to create high-performance hybrid IT environments, allowing organizations to augment their internal IT capabilities with cloud services.

Introducing NaviSite Managed Cloud Services (MCS)

NaviSite MCS is an enterprise-class, Infrastructure as a Service (IaaS) that provides secure, virtualized IT environment. MCS is built on state-of-the-art enterprise-class infrastructure. Cisco’s Unified Computing System (UCS), a next-generation server platform, is configured with dual-fabric interconnects for high-availability, while VMware’s vSphere provides a flexible cloud operating system. NaviSite data centers are interconnected by dedicated 10 Gbps Ethernet links, eliminating network-oriented bottlenecks. High-speed connections to physical servers hosted in NaviSite data centers, coupled with load balancing technology, ensure that complex applications scale to meet business demands. MCS offers three high-level benefits to enterprises looking for a true enterprise-class cloud service:

Lower Total Cost of Ownership

• Usage-based billing: Enterprises do not incur the hefty capital expenditures associated with building and maintaining an in-house data center. Usage-based billing is linked to the provisioning process – enterprises make base-level commitments and can scale up or down based on need. This ‘pay for use’ billing model yields savings of 20-40%, compared to traditional infrastructure hosting services.

• Efficient Resource Utilization: The virtualized slices of resources ensure enterprises purchase and use only what they need – eliminating the hidden costs of IT resource underutilization.

Business Agility and Simplified Operation

• Speed of Deployment: Enterprise-class cloud services accelerate the time to value for enterprise customers by eliminating long procurement cycles associated with in-house development projects, and ensuring that deployments move quickly from staging to live production.

• Simplified IT Operations: A fully-managed option delivers an enterprise-class, cloud-enabled IT environment, while eliminating the complexity of managing an in-house data center. From resource provisioning and security management to operating system, network, and application management, an enterprise cloud service makes IT faster, simpler, and more efficient.


Guaranteed Service Levels

• Guaranteed Service Levels: A true enterprise-class cloud service is backed by industry-leading service level guarantees for performance, availability, and ‘response and resolution.’

• Business Continuity and Performance Manageability: An enterprise-class cloud service includes 24×7 monitoring and support, and geographically dispersed data centers to augment built-in disaster recovery capabilities.

 

Pre-register for the Upcoming Navisite Webinar:
Webinar: Storm Clouds – Security Issues in the Cloud and How to Address Them
Date: September 15, 2010; 
Time: 1:00 PM EDT / 10:00 AM PDT

Security technology and procedures are augmenting existing security frameworks to accommodate cloud architectures.  This Webinar will highlight the four critical areas of concern when securing cloud infrastructure services and managed enterprise applications.

Register for this free webinar…

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!

2024 Winter Classic: NASA Mentor Interview

May 2, 2024

The folks at NASA Ames once again did a bang-up job as a mentor for the 2024 Winter Classic. This is the third time they’ve fulfilled this vital function, and their challenges keep getting better and better. In thei Read more…

Intersect360 Research Takes a Deep Dive into the HPC-AI Market in New Report

May 1, 2024

A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to deliver practical quantum computing - a race that James Clarke Read more…

Amazon’s New AI Assistant Is an Editor to Prevent Hallucinations

May 1, 2024

Large-language models regularly spit out off-the-rails answers, and companies are introducing editors and guardrails to ensure that responses from AI are more on point. Amazon this week announced the general availabil Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very aggressive cadence of Falcon Shores products following that Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Researching both the world around us and the bodies we inhabit has c Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire