To comprehend HP’s cloud computing strategy you have to first understand HP’s Matrix Blade System. HP announced the Matrix system in April of 2009 as a prepackaged fabric-based system. Because Matrix was designed as a packaged environment, it has become the lynch pin of HP’s cloud strategy.
So, what is Matrix? Within this environment, HP has pre-integrated servers, networking, storage, and software (primarily orchestration to customize workflow). In essence, Matrix is a Unified Computing System so that it supports both physical blades as well as virtual configurations. It includes a graphical command center console to manage resource pools, physical and virtual servers and network connectivity. On the software side, Matrix provides an abstraction layer that supports workload provisioning and workflow based policy management that can determine where workloads will run. The environment supports the VMware hypervisor, open source KVM, and Microsoft’s Hyper-V.
HP’s strategy is to combine this Matrix system, which it has positioned as its private cloud, with a public compute cloud. In addition, HP is incorporating its lifecycle management software and its security acquisitions as part of its overall cloud strategy. It is leveraging the HP services (formerly EDS) to offer a hosted private cloud and traditional outsourcing as part of an overall plan. HP is hoping to leveraging its services expertise in running large enterprise packaged software
There are three components to the HP cloud strategy:
- Cloud Services Automation
- Cloud Consulting Services
CloudSystem. What HP calls CloudSystem is, in fact, based on the Matrix blade system. The Matrix Blade System uses a common rack enclosure to support all the blades produced by HP. The Matrix is a packaging of is what HP calls an operating environment that includes provisioning software, virtualization, a self-service portal and management tools to manage resources pools. HP considers its public cloud services to be part of the CloudSystem. To provide a hybrid cloud computing environment, HP will offer compute public cloud services similar to what is available from Amazon EC2. When combined with the outsourcing services from HP Services, HP contends that it provides a common architectural framework across public, private, virtualized servers, and outsourcing. It includes what HP is calling cloud maps. Cloud maps are configuration templates based on HP’s acquisition of Stratavia, a database and application automation software company.
Cloud Service Automation. The CloudSystem is intended to make use of Services Automation software called Cloud Service Automation (CSA). The components of CSA include a self-service portal that manages a service catalog. The service catalog describes each service that is intended to be used as part of the cloud environment. Within the catalog, the required service level is defined. In addition, the CSA can meter the use of services and can provide visibility to the performance of each service. A second capability is a cloud controller, based on the orchestration technology from HP’s Opsware acquisition. A third component, the resource manager provide provisioning and monitoring services. The objective of CSA is to provide end-to-end lifecycle management of the CloudSystem.
Cloud Consulting Services. HP is taking advantage of EDS’s experience in managing computing infrastructure as the foundation for its cloud consulting services offerings. HP also leverages its consulting services that were traditionally part of HP as well as services from EDS. Therefore, HP has deep experience in designing and running Cloud seminars and strategy engagements for customers.
From HP’s perspective, it is taking a hybrid approach to cloud computing. What does HP mean by Hybrid? Basically, HP’s hybrid strategy includes the combination of the CloudSystem – a hardware-based private cloud, its own public compute services, and traditional outsourcing.
The Bottom Line. Making the transition to becoming a major cloud computing vendor is complicated. The market is young and still in transition. HP has many interesting building blocks that have the potential to make it an important player. Leveraging the Matrix Blade System is a pragmatic move since it is already an integrated and highly abstracted platform. However, it will have to provide more services that increase the ability of its customers to use the CloudSystem to create an elastic and flexible computing platform. The Cloud Automation Services is a good start but still requires more evolution. For example, it needs to add more capabilities into its service catalog. Leveraging its Systinet registry/repository as part of its service catalog would be advisable. I also think that HP needs to package its security offerings to be cloud specific. This includes both in the governance and compliance area as well as Identity Management.
Just how much will HP plan to compete in the public cloud space is uncertain. Can HP be effective in both markets? Does it need to combine its offerings or create two different business models?
It is clear that HP wants to make cloud computing the cornerstone of its “Instant-On Enterprise” strategy announced last year. In essence, Instant-on Enterprise is intended to make it easier for customers to consume data center capabilities including infrastructure, applications, and services. This is a good vision in keeping with what customers need. And plainly cloud computing is an essential ingredient in achieving this ambitious strategy.
So in a perfect world all data centers be magically become clouds and the world is a better place. All kidding aside..I am tired of all of the hype. Let me put it this way. All data centers cannot and will not become private clouds– at least not for most typical companies. Let me tell you why I say this. There are some key principles of the cloud that I think are worth recounting:
1. A cloud is designed to optimize and manage workloads for efficiency. Therefore repeatable and consistent workloads are most appropriate for the cloud.
2. A cloud is intended to implement automation and virtualization so that users can add and subtract services and capacity based on demand.
3. A cloud environment needs to be economically viable.
Why aren’t traditional data centers private clouds? What if a data center adds some self-service and virtualization? Is that enough? Probably not. A typical data center is a complex environment. It is not uncommon for a single data center to support five or six different operating systems, five or six different languages, four or five different hardware platforms and perhaps 20 or 30 applications of all sizes and shapes plus an unending number of tools to support the management and maintenance of that environment. In Cloud Computing for Dummies, written by the team at Hurwitz & Associates there is a considerable amount written about this issue. Given an environment like this it is almost impossible to achieve workload optimization. In addition, there are often line of business applications that are complicated, used by a few dozen employees, and are necessary to run the business. There is simply no economic rational for such applications to be moved to a cloud — public or private. The only alternative for such an application would be to outsource the application all together.
So what does belong in the private cloud? Application and business services that are consistent workloads that are designed for be used on demand by developers, employees, or partners. Many companies are becoming IT providers to their own employees, partners, customers and suppliers. These services are predictable and designed as well-defined components that can be optimized for elasticity. They can be used in different situations — for a single business situation to support a single customer or in a scenario that requires the business to support a huge partner network. Typically, these services can be designed to be used by a single operating system (typically Linux) that has been optimized to support these workloads. Many of the capabilities and tasks within this environment has been automated.
Could there be situations where an entire data center could be a private cloud? Sure, if an organization can plan well enough to limit the elements supported within the data center. I think this will happen with specialized companies that have the luxury of not supporting legacy. But for most organizations, reality is a lot messier.
Maybe I am just obsessed with cloud computing these days. I guess that after spending more than 18 months researching the topic for our forthcoming book, Cloud Computing for Dummies, I can be excused for my obsession. Now that I am able to take a step back from the noise of the market, I have been thinking about what this will mean in the next ten years. Consequences of technology adoption are never what we expect. For example, in the late 1970s and early 1980s no one could imagine why anyone would want a personal computer. In fact, the only application people could imagine for a PC was a way to store recipes (I am not making this up). Keep in mind that this was before the first PC-based spreadsheet was designed by Dan Bricklin and Bob Franston(That’s them in the picture) . No one in those days could have predicted that everyone from a CEO to a three year old child would own a personal computer and its use would change the way we conduct business. (I never did find a recipe storing application).
The same logic can be applied to the Internet. While the Internet has been used 40 years ago by researchers, it was not a commercially viable option until the mid-1990s. In the early days of the Internet it was a sophisticated communications technology with a command line interface. Once the browser came along, businesses tended to use it to share price lists, marketing materials, and job postings. There were certainly message boards but only for the real techies. There were environments such as The Well which was the first online community used primarily by academics and wild-eyed researchers.
In that context, I was thinking about what we might expect to happen with cloud computing? There is a lot to say, so I decided to break this into two parts — each one will have three consequences. Here are today’s top three:
1. Cloud computing will begin to change the way we think of an application. To be truly useful to large groups of individuals and businesses requires economies of scale in terms of massively scaled workloads. The only way to accomplish this is either to cherry pick a few big workloads (like email) or to branch out. That branching out is inevitable and will mean that vendors with cloud offerings with componentize their software offerings into modular services that can be mixed and matched with other services.
2. The prices that vendors will charge for cloud computing services will drop dramatically over the next few years. As prices drop it will become a lot more economically viable to substitute on premise environment for the cloud environment. Today this is not the case; large companies supporting thousands of users in an application environment cannot justify the movement to a cloud platform. What if the costs drop to the point where the economics (with the right workloads) favor cloud based services? When this happens there will be a tipping point that we might not even notice for a few years. But I predict that it will happen. We are already seeing Amazon dropping prices for its EC2 environment based on the competitive threat from Microsoft Azure services announcement.
3. The cloud will change the way we manage data. The traditional way we think about data neatly stored in specific databases to handle a specific business problem will inevitably change. This won’t be an overnight change but it will happen. Data will increasingly be seen as a reusable resource that can be used in lots of different situations. There will continue to be strategic line of business applications but they will be more systems of record that keep track of the final result of actions that take place dynamically in the cloud. The value of data is not in its tight packaging as we have been used to for decades but it the flexibility to move, transform, and leverage data. The watch word for data in this new model will be Trusted Data in the Cloud.
I would love to know what you think of my top three choices; send me your comments and I will add them to my list for tomorrow.
As we deal with the cloud hype it is too easy to be dismissive and cynical. But we always treat complicated new trends that way — until one day they become the normal way of business and life.