|By Dave Malcolm||
|June 27, 2009 10:45 PM EDT||
Cloud computing is getting tons of press these days. Everyone has a different perspective and understanding of the technology, and there are myriad variations on the definition of the cloud- William Fellows and John Barr at the 451 Group define cloud computing as the intersection of grid, virtualization, SaaS, and utility computing models. James Staten of Forrester Research describes it as a pool of abstracted, highly scalable, and managed compute infrastructure capable of hosting end-customer applications and billed by consumption. Let's take it a step further and examine the core principles, or pillars, that uniquely define cloud computing.
Pillar 1: Dynamic Computing Infrastructure
Cloud computing requires a dynamic computing infrastructure. The foundation for the dynamic infrastructure is a standardized, scalable, and secure physical infrastructure. There should be levels of redundancy to ensure high levels of availability, but mostly it must be easy to extend as usage growth demands it, without requiring architecture rework. Next, it must be virtualized. Today, virtualized environments leverage server virtualization (typically from VMware, Microsoft, or Xen) as the basis for running services. These services need to be easily provisioned and de-provisioned via software automation. These service workloads need to be moved from one physical server to another as capacity demands increase or decrease. Finally, this infrastructure should be highly utilized, whether provided by an external cloud provider or an internal IT department. The infrastructure must deliver business value over and above the investment.
A dynamic computing infrastructure is critical to effectively supporting the elastic nature of service provisioning and de-provisioning as requested by users while maintaining high levels of reliability and security. The consolidation provided by virtualization, coupled with provisioning automation, creates a high level of utilization and reuse, ultimately yielding a very effective use of capital equipment
Pillar 2: IT Service-Centric Approach
Cloud computing is IT (or business) service-centric. This is in stark contrast to more traditional system- or server- centric models. In most cases, users of the cloud generally want to run some business service or application for a specific, timely purpose; they don't want to get bogged down in the system and network administration of the environment. They would prefer to quickly and easily access a dedicated instance of an application or service. By abstracting away the server-centric view of the infrastructure, system users can easily access powerful pre-defined computing environments designed specifically around their service.
An IT Service Centric approach enables user adoption and business agility - the easier and faster a user can perform an administrative task the more expedient the business moves, reducing costs or driving revenue.
Pillar 3: Self-Service Based Usage Model
Interacting with the cloud requires some level of user self-service. Best of breed self-service provides users the ability to upload, build, deploy, schedule, manage, and report on their business services on demand. Self-service cloud offerings must provide easy-to-use, intuitive user interfaces that equip users to productively manage the service delivery lifecycle.
The benefit of self service from the users' perspective is a level of empowerment and independence that yields significant business agility. One benefit often overlooked from the service provider's or IT team's perspective is that the more self service that can be delegated to users, the less administrative involvement is necessary. This saves time and money and allows administrative staff to focus on more strategic, high-valued responsibilities.
Pillar 4: Minimally or Self-Managed Platform
In order for an IT team or a service provider to efficiently provide a cloud for its constituents, they must leverage a technology platform that is self managed. Best-of-breed clouds enable self-management via software automation, leveraging the following capabilities:
- A provisioning engine for deploying services and tearing them down recovering resources for high levels of reuse
- Mechanisms for scheduling and reserving resource capacity
- Capabilities for configuring, managing, and reporting to ensure resources can be allocated and reallocated to multiple groups of users
- Tools for controlling access to resources and policies for how resources can be used or operations can be performed
All of these capabilities enable business agility while simultaneously enacting critical and necessary administrative control. This balance of control and delegation maintains security and uptime, minimizes the level of IT administrative effort, and keeps operating expenses low, freeing up resources to focus on higher value projects.
Pillar 5: Consumption-Based Billing
Finally, cloud computing is usage-driven. Consumers pay for only what resources they use and therefore are charged or billed on a consumption-based model. Cloud computing platforms must provide mechanisms to capture usage information that enables chargeback reporting and/or integration with billing systems.
The value here from a user's perspective is the ability for them to pay only for the resources they use, ultimately helping them keep their costs down. From a provider's perspective, it allows them to track usage for charge back and billing purposes.
In summary, all of these five pillars are necessary in producing an enterprise private cloud capable of achieving compelling business value which includes savings on capital equipment and operating costs, reduced support costs, and significantly increased business agility. All of these enable corporations to improve their profit margins and competitiveness in the markets they serve.
Continuous processes around the development and deployment of applications are both impacted by -- and a benefit to -- the Internet of Things trend. To help better understand the relationship between DevOps and a plethora of new end-devices and data please welcome Gary Gruver, consultant, author and a former IT executive who has led many large-scale IT transformation projects, and John Jeremiah, Technology Evangelist at Hewlett Packard Enterprise (HPE), on Twitter at @j_jeremiah. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
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