HPE SimpliVity Cloud Computing
New Operational Model
When you think of cloud computing, you probably think of resource availability whenever required. Or maybe it invokes thoughts of multi-tenancy and easy elasticity. Or you may focus on self-service or the commoditization of processing power. As IT organizations seek to deliver IT that’s responsive to the business while lowering costs, cloud computing is the new imperative.
Cloud computing’s IT-as-a-Service approach allows users to get access to IT commodities in their required amounts, which can be easily changed on demand. The types of resources and their location are transparent. This approach transforms IT organizations to a service provider model of:
- Highly scalable capacity to meet demands,
- Self-service provisioning,
- Proactive versus reactive operations, and
- Predictable IT service costs.
Cloud computing is enabled by its underlying infrastructure. That’s where virtualization comes in. With it, you can easily scale your environment, optimize resources and minimize expenses. Cloud computing relies on virtualized resources delivered on an elastic building block infrastructure. Resources within and across multiple data centers are pooled to create a cloud-computing environment that responds dynamically to users’ needs.
Using legacy infrastructure in a cloud computing environment is a mismatch. Silos of compute, storage and fabric hardware take a “bottom up” or hardware-level view when it comes to policies and management. Cloud computing is an application-centric operations model with a “top down” approach to policies and management.
Cloud service delivery deficiencies can result in poor quality of service, reactive troubleshooting, and diminished utilization rates. And that will introduce risk in not meeting IT service delivery and financial goals. The complexity that accompanies an increase in scale highlights the need for a different approach to cloud infrastructure.
HPE SimpliVity offers just that approach. And HPE SimpliVity’s data virtualization platform delivered on hyperconverged building blocks fits public and private cloud computing environments. It delivers cloud computing capabilities within an enterprise IT setting or within a cloud service provider environment. HPE SimpliVity offers the scalability, flexibility and economic advantages of public cloud infrastructure, while delivering the application performance experience and control of a private cloud.
The public cloud computing model consists of:
- Infrastructure and services hosted by a service provider at off-premises data center and made available over a network connection, typically the Internet.
- Resources shared with other subscribers or tenants.
- A per-use subscription model.
HPE SimpliVity provides hyperconverged infrastructure supporting public cloud computing models. For service providers that need cost-efficient cloud-scale infrastructure, HPE SimpliVity offers data virtualization delivered on x86 modular building blocks that delivers a 300% reduction in the total cost of ownership.
Concerned about performance and control? Then you will more likely prefer to implement cloud computing on-premises. But, how do you build and operate a private cloud while remaining cost-competitive? Virtualizing resources is a start. Building out a scalable multi-tenant environment to host cloud computing platforms is a next step. However, implementing automation, reliability features, and other cloud capabilities often proves more difficult.
HPE SimpliVity’s hyperconverged infrastructure supports private cloud computing models for corporate IT with a focus on data center consolidation, technology refresh for servers and storage, and IT modernization initiatives.
Hybrid cloud computing is characterized by infrastructure and services hosted on a combination of corporate-controlled and third-party data centers. This provides for efficiency, cloud-bursting, and the ability to store off-site copies of data. However, management is more complex across discrete clouds.
HPE SimpliVity’s hyperconverged infrastructure supports both public and private cloud computing. An on-premises instance has extensibility-on-demand to the public cloud, as well as the ability to store backup and disaster recovery copies in the public cloud. Control it all through a single management view.
You’ve virtualized your hardware and you’ve adopted an ITaaS model. Now what? Now you automate. Automation is key to achieving a Software-Defined Data Center (SDDC). It abstracts control of all elements of the infrastructure from the hardware, including compute, storage and networking. It brings automated management via software to processes such as deployment, provisioning, configuration and operations.
SDDC introduces flexibility to the physical infrastructure by allowing dynamic configuration and reconfiguration to support changing requirements and priorities. The software layer adds the ability to automate control of virtualized infrastructure components.
Business rules and policies for application workloads running in the SDDC dictate demand for physical compute, network, storage and other infrastructure resources. A Software-Defined Data Center mechanism delivers, intelligence and value on top of standardized hardware.