HP has done an amazing job at creating cloud solutions for customers throughout the marketplace. From small to medium-sized businesses through the enterprise and beyond, HP cloud products do the job and do it well.
One product in HP’s portfolio that can provide opportunities for businesses of just about any size is HP Cloud Compute. Cloud Compute allows the organization to:
- Roll out compute instances on an on-demand basis.
- Create customized instances in order to handle unique workloads.
- Add additional instances via the UI or via the RESTful API.
Instances can be configured for many potential uses, including:
- Development and test instances.
- Web-based applications.
- Large-scale, intermittent data processing.
Cloud Compute combines the power of HP’s solid, reliable and highly-functional hardware and software along with some of the most important aspects of HP Converged Infrastructure. Cloud Compute relies on the OpenStack Nova platform and API, which means organizations can still use their OpenStack-compatible applications with Cloud Compute.
HP Cloud Compute provides a number of distinct benefits to organizations, including:
- Help for developers. The developer experience is highly-functional as well as intuitive. This helps developers decrease time in coding.
- Vendor independence. HP Cloud Compute uses open source architecture as well as standards-based APIs to insure that your applications can interoperate the way they need to.
- Secure instance deployment. Instances can be deployed securely on an on-demand basis. They can be scaled up or down quickly, and they can be configured or customized for any number of uses.
- You only pay for what you use. This helps control costs and make sure that service levels can still be maintained.
- Comprehensive support. HP Cloud Services Customer Support gives you life and fully responsive support.
HP Cloud Compute offers instance types in a wide range of sizes. An instance can be as simple as a single virtual core with 1 GB of RAM and 30 GB of local disk space. It can also be as large as 8 virtual cores with 32 GB of RAM and 960 GB of local disk space. The size of the instance matches your implementation’s need.
