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Yes, you can have an elastic private cloud

April 11, 2011 3 comments

I was having a discussion with a skeptical CIO the other day. His issue was that a private cloud isn’t real.  Why? In contrast to the public cloud, which has unlimited capability on demand, a private cloud is limited by the size and capacity of the internal data center.  While I understand this point I disagree and here is why.  I don’t know of any data center that doesn’t have enough servers or capacity.  In fact, if you talk to most IT managers they will quickly admit that they don’t lack physical resources. This is why there has been so much focus on server virtualization. With server virtualization, these organizations actually get rid of servers and make their IT organization more efficient.

Even when data centers are able to improve their efficiency, they still do not lack resources.  What data centers lack is the organizational structure to enable provisioning of those resources in a proactive and efficient way.  The converse is also true: data centers lack the ability to reclaim resources once they have been provisioned.

So, I maintain that the problem with the data center is not a lack of resources but rather the management and the automation of those resources.  Imagine an organization leverages the existing physical resources in a data center by adding self-service provisioning and business process rules for allocating resources based on business need.  This would mean that when developers start working on a project they are allocated the amount of resources they need – not what they want. More importantly, when the project is over, those resources are returned to the pool.

This, of course, does not work for every application and every workload in the data center. There are applications that are highly specialized and are not going to benefit from automation. However, there indeed can increasingly large aspects of computing that can be transformed in the private cloud environment based on truly tuning workloads and resources to make the private cloud as elastic as what we think of as a ever expanding public cloud.

HP’s Ambitious Cloud Computing Strategy: Can HP Emerge as a Power?

February 15, 2011 4 comments

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:

  • CloudSystem
  • 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.

What’s a private cloud anyway?

February 4, 2011 2 comments

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.

Predictions for 2011: getting ready to compete in real time

December 1, 2010 3 comments

2010 was a transition year for the tech sector. It was the year when cloud suddenly began to look realistic to the large companies that had scorned it. It was the year when social media suddenly became serious business. And it was the year when hardware and software were being united as a platform – something like in the old mainframe days – but different because of high-level interfaces and modularity. There were also important trends starting to emerge like the important of managing information across both the enterprise and among partners and suppliers. Competition for ownership of the enterprise software ecosystem headed up as did the leadership of the emerging cloud computing ecosystem.

So, what do I predict for this coming year? While at the outset it might look like 2011 will be a continuation of what has been happening this year, I think there will be some important changes that will impact the world of enterprise software for the rest of the decade.

First, I think it is going to be a very big year for acquisitions. Now I have said that before and I will say it again. The software market is consolidating around major players that need to fill out their software infrastructure in order to compete. It will come as no surprise if HP begins to purchase software companies if it intends to compete with IBM and Oracle on the software front.  But IBM, Oracle, SAP, and Microsoft will not sit still either.  All these companies will purchase the incremental technology companies they need to compete and expand their share of wallet with their customers.

This will be a transitional year for the up and coming players like Google, Amazon, Netflix, Salesforce.com, and others that haven’t hit the radar yet.  These companies are plotting their own strategies to gain leadership. These companies will continue to push the boundaries in search of dominance.  As they push up market as they grab market share, they will face the familiar problem of being able to support customers who will expect them to act like adults.

Customer support, in fact, will bubble to the top of the issues for emerging as well as established companies in the enterprise space – especially as cloud computing becomes a well-established distribution and delivery platform for computing.  All these companies, whether well established or startups will have to balance the requirements to provide sophisticated customer support with the need to make profit.  This will impact everything from license and maintenance revenue to how companies will charge for consulting and support services.

But what are customers be looking for in 2011? Customers are always looking to reduce their IT expenses – that is a given. However, the major change in 2011 will be the need to innovative based on customer facing initiatives.  Of course, the idea of focusing on customer facing software itself isn’t new there are some subtle changes.  The new initiatives are based on leveraging social networking from a secure perspective to both drive business traffic, anticipate customer needs and issues before they become issues.  Companies will spend money innovating on customer relationships.

Cloud Computing is the other issue in 2011. While it was clearly a major differentiator in 2010, the cloud will take an important leap forward in 2011.  While companies were testing the water this year, next year, companies will be looking at best practices in cloud computing.  2011 will be there year where customers are going to focus on three key issues: data integration across public, private, and data centers, manageability both in terms of workload optimization, security, and overall performance.  The vendors that can demonstrate that they can provide the right level of service across cloud-based services will win significant business. These vendors will increasingly focus on expanding their partner ecosystem as a way to lock in customers to their cloud platform.

Most importantly, 2011 will be the year of analytics.  The technology industry continues to provide data at an accelerated pace never seen before. But what can we do with this data? What does it mean in organizations’ ability to make better business decisions and to prepare for an unpredictable future?  The traditional warehouse simply is too slow to be effective. 2011 will be the year where predictive analytics and information management overall will emerge as among the hottest and most important initiatives.

Now I know that we all like lists, so I will take what I’ve just said and put them into my top ten predictions:

1. Both today’s market leaders and upstarts are going to continue to acquire assets to become more competitive.  Many emerging startups will be scooped up before they see the light of day. At the same time, there will be almost as many startups emerge as we saw in the dot-com era.

2. Hardware will continue to evolve in a new way. The market will move away from hardware as a commodity. The hardware platform in 2010 will be differentiated based on software and packaging. 2010 will be the year of smart hardware packaged with enterprise software, often as appliances.

3. Cloud computing models will put extreme pressure on everything from software license and maintenance pricing to customer support. Integration between different cloud computing models will be front and center. The cloud model is moving out of risk adverse pilots to serious deployments. Best practices will emerge as a major issue for customers that see the cloud as a way to boost innovation and the rate of change.

4. Managing highly distributed services in a compliant and predictable manner will take center stage. Service management and service level agreements across cloud and on-premises environments will become a prerequisite for buyers.

5. Security software will be redefined based on challenges of customer facing initiatives and the need to more aggressively open the corporate environment to support a constantly morphing relationship with customers, partners, and suppliers.

6. The fear of lock in will reach a fever pitch in 2011. SaaS vendors will increasingly add functionality to tighten their grip on customers.  Traditional vendors will purchase more of the components to support the lifecycle needs of customers.  How can everything be integrated from a business process and data integration standpoint and still allow for portability? Today, the answers are not there.

7. The definition of an application is changing. The traditional view that the packaged application is hermetically sealed is going away. More of the new packaged applications will be based on service orientation based on best practices. These applications will be parameter-driven so that they can be changed in real time. And yes, Service Oriented Architectures (SOA) didn’t die after all.

8. Social networking grows up and will be become business social networks. These initiatives will be driven by line of business executives as a way to engage with customers and employees, gain insights into trends, to fix problems before they become widespread. Companies will leverage social networking to enhance agility and new business models.

9. Managing end points will be one of the key technology drivers in 2011. Smart phones, sensors, and tablet computers are refining what computing means. It will drive the requirement for a new approach to role and process based security.

10. Data management and predictive analytics will explode based on both the need to understand traditional information and the need to manage data coming from new sales and communications channels.

The bottom line is that 2011 will be the year where the seeds that have been planted over the last few years are now ready to become the drivers of a new generation of innovation and business change. Put together everything from the flexibility of service orientation, business process management innovation, the wide-spread impact of social and collaborative networks, the new delivery and deployment models of the cloud. Now apply tools to harness these environments like service management, new security platforms, and analytics. From my view, innovative companies are grabbing the threads of technology and focusing on outcomes. 2011 is going to be an important transition year. The corporations that get this right and transform themselves so that they are ready to change on a dime can win – even if they are smaller than their competitors.

What will it take to achieve great quality of service in the cloud?

November 9, 2010 1 comment

You know that a market is about to transition from an early fantasy market when IT architects begin talking about traditional IT requirements. Why do I bring this up as an issue? I had a fascinating conversation yesterday with a leading architect in charge of the cloud strategy for an important company that is typically on the bleeding edge of technology. Naturally, I am not allowed to name the company or the person. But let me just say that individuals and companies like this are the first to grapple with issues such as the need for a registry for web services or the complexity of creating business services that are both reusable and include business best practices. They are the first companies to try out artificial intelligence to see if it could automate complex tasks that require complex reasoning.

These innovators tend to get blank stares from their cohorts in other traditional IT departments who are grappling with mundane issues such as keeping systems running efficiently. Leading edge companies have the luxury to push the bounds of what is possible to do.  There is a tremendous amount to be learned from their experiments with technology. In fact, there is often more to be learned from their failures than from their successes because they are pushing the boundary about what is possible with current technology.

So, what did I take away from my conversation? From my colleague’s view, the cloud today is about “how many virtual machines you need, how big they are, and linking those VMs to storage. “ Not a very compelling picture but it is his perception of the reality of the cloud today.  His view of the future requirements is quite intriguing.

I took away six key issues that this advanced planner would like to see in the evolution of cloud computing:

One.  Automation of placement of assets is critical.  Where you actually put capability is critical. For example, there are certain workloads that should never leave the physical data center because of regulatory requirements.  If an organization were dealing with huge amounts of data it would not be efficient to place elements of that data on different cloud environments. What about performance issues? What if a task needs to be completed in 10 seconds or what if it needs to be completed in 5 milliseconds? There are many decisions that need to be made based on corporate requirements. Should this decision on placement of workloads be something that is done programmatically? The answer is no. There should be an automated process based on business rules that determines the actual placement of cloud services.

Two. Avoiding concentration of risk. How do you actually place core assets into a hypervisor? If, for example, you have a highly valuable set of services that are critical to decision makers you might want to ensure that they are run within different hypervisors based on automated management processes and rules.

Three. Quality of Service needs a control fabric.  If you are a customer of hybrid cloud computing services you might need access to the code that tells you what tasks the tool is actually doing. What does that tool actually touch in the cloud environment? What do the error messages mean and what is the implication? Today many of the cloud services are black boxes; there is no way for the customer to really understand what is happening behind the scenes. If companies are deploying truly hybrid environments that support a mixed workload, this type of access to the workings of the various tools that is monitoring and managing quality of service will be critical.  From a quality of service perspective, some applications will require dedicated bandwidth to meet requirements. Other applications will not need any special treatment.

Four.  Cloud Service Providers building shared services need an architectural plan to control them as a unit of work. These services will be shared across departments as well as across customers.  How do you connect these services? While it might seem simple at the 50,000-foot level, it is actually quite complex because we are talking about linking a set of services together to build a coherent platform. Therefore, as with building any system there is a requirement to model the “system of services”, then deploy that model, and finally to reconcile and tune the results.

Five. Standard APIs protect customers.  Should APIs for all cloud services be published and accessible? If companies are to have the freedom to move easily and efficiently between and among cloud services then APIs need to be well understood. For example, a company may be using a vendor’s cloud service and discover a tool that addresses a specific problem.  What if that vendor doesn’t support that tool? In essence, the customer is locked out from using this tool. This becomes a problem immediately for innovators.  However, it is also an issue for traditional companies that begin to work with cloud computing services and over time realize that they need more service management and more oversight.

Six. Managing containers may be key to the service management of the cloud. A well-designed cloud service has to be service oriented. It needs to be placed in a container without dependencies since customers will use services in different ways. Therefore, each service needs to have a set of parameter driven configurators so that the rules of usage and management are clear. What version of what cloud service should be used under what circumstance? What if the service is designed to execute backup? Can that backup happen across the globe or should it be done in proximity to those data assets?  These management issues will become the most important issues for cloud providers in the future.

The best thing about talking to people like this architect is that it begins to make you think about issues that aren’t part of today’s cloud discussions.  These are difficult issues to solve. However, many of these issues have been addressed for decades in other iterations of technology architectures. Yes, the cloud is a different delivery and deployment model for computing but it will evolve as many other architectures do. The idea of putting quality of service, service management, configuration and policy rules at the forefront will help to transform cloud computing into a mature and effective platform.



Eight things that changed since we wrote Cloud Computing for Dummies

October 8, 2010 3 comments

I admit that I haven’t written a blog in more than three months — but I do have a good reason. I just finished writing my latest book — not a Dummies book this time. It will be my first business book based on almost three decades in the computer industry. Once I know the publication date I will tell you a lot more about it. But as I was finishing this book I was thinking about my last book, Cloud Computing for Dummies that was published almost two years ago.  As this anniversary approaches I thought it was appropriate to take a look back at what has changed.  I could probably go on for quite a while talking about how little information was available at that point and how few CIOs were willing to talk about or even consider cloud computing as a strategy. But that’s old news.  I decided that it would be most interesting to focus on eight of the changes that I have seen in this fast-moving market over the past two years.

Change One: IT is now on board with cloud computing. Cloud Computing has moved from a reaction to sluggish IT departments to a business strategy involving both business and technology leaders.  A few years ago, business leaders were reading about Amazon and Google in business magazines. They knew little about what was behind the hype. They focused on the fact that these early cloud pioneers seemed to be efficient at making cloud capability available on demand. No paperwork and no waiting for the procurement department to process an order. Two years ago IT leaders tried to pretend that cloud computing was  passing fad that would disappear.  Now I am finding that IT is treating cloud computing as a center piece of their future strategies — even if they are only testing the waters.

Change Two: enterprise computing vendors are all in with both private and public cloud offerings. Two years ago most traditional IT vendors did not pay too much attention to the cloud.  Today, most hardware, software, and services vendors have jumped on the bandwagon. They all have cloud computing strategies.  Most of these vendors are clearly focused on a private cloud strategy. However, many are beginning to offer specialized public cloud services with a focus on security and manageability. These vendors are melding all types of cloud services — public, private, and hybrid into interesting and sometimes compelling offerings.

Change Three: Service Orientation will make cloud computing successful. Service Orientation was hot two years ago. The huge hype behind cloud computing led many pundits to proclaim that Service Oriented Architectures was dead and gone. In fact, cloud vendors that are succeeding are those that are building true business services without dependencies that can migrate between public, private and hybrid clouds have a competitive advantage.

Change Four: System Vendors are banking on integration. Does a cloud really need hardware? The dialog only two years ago surrounded the contention that clouds meant no hardware would be necessary. What a difference a few years can make. The emphasis coming primarily from the major systems vendors is that hardware indeed matters. These vendors are integrating cloud infrastructure services with their hardware.

Change Five: Cloud Security takes center stage. Yes, cloud security was a huge topic two years ago but the dialog is beginning to change. There are three conversations that I am hearing. First, cloud security is a huge issue that is holding back widespread adoption. Second, there are well designed software and hardware offerings that can make cloud computing safe. Third, public clouds are just as secure as a an internal data center because these vendors have more security experts than any traditional data center. In addition, a large number of venture backed cloud security companies are entering the market with new and quite compelling value propositions.

Change Six: Cloud Service Level Management is a  primary customer concern. Two years ago no one our team interviewed for Cloud Computing for Dummies connected service level management with cloud computing.   Now that customers are seriously planning for wide spread adoption of cloud computing they are seriously examining their required level of service for cloud computing. IT managers are reading the service level agreements from public cloud vendors and Software as a Service vendors carefully. They are looking beyond the service level for a single service and beginning to think about the overall service level across their own data centers as well as the other cloud services they intend to use.

Change Seven: IT cares most about service automation. No, automation in the data center is not new; it has been an important consideration for years. However, what is new is that IT management is looking at the cloud not just to avoid the costs of purchasing hardware. They are automation of both routine functions as well as business processes as the primary benefit of cloud computing. In the long run, IT management intends to focus on automation and reduce hardware to interchanagable commodities.

Change Eight: Cloud computing moves to the front office. Two years ago IT and business leaders saw cloud computing as a way to improve back office efficiency. This is beginning to change. With the flexibility of cloud computing, management is now looking at the potential for to quickly innovate business processes that touch partners and customers.

IBM’s hardware sneak attack

April 13, 2010 5 comments

Yesterday I read an interesting blog commenting on why Oracle seems so interested in Sun’s hardware.

I quote from a comment by Brian Aker, former head of architecture for MySQL on the O’Reily Radar blog site.  He comments on his view on why Oracle bought Sun,

Brian Aker: I have my opinions, and they’re based on what I see happening in the market. IBM has been moving their P Series systems into datacenter after datacenter, replacing Sun-based hardware. I believe that Oracle saw this and asked themselves “What is the next thing that IBM is going to do?” That’s easy. IBM is going to start pushing DB2 and the rest of their software stack into those environments. Now whether or not they’ll be successful, I don’t know. I suspect once Oracle reflected on their own need for hardware to scale up on, they saw a need to dive into the hardware business. I’m betting that they looked at Apple’s margins on hardware, and saw potential in doing the same with Sun’s hardware business. I’m sure everything else Sun owned looked nice and scrumptious, but Oracle bought Sun for the hardware.

I think that Brian has a good point. In fact, in a post I wrote a few months ago, I commented on the fact that hardware is back.  It is somewhat ironic. For a long time, the assumption has been that a software platform is the right leverage point to control markets.  Clearly, the tide is shifting.  IBM, for example, has taken full advantage of customer concerns about the future of the Sun platform. But IBM is not stopping there. I predict a hardware sneak attack that encompasses IBM’s platform software strength (i.e., middleware, automation, analytics, and service management) combined with its hardware platforms.

IBM will use its strength in systems and middleware software to expand its footprint into Oracle’s backyard surrounding its software with an integrated platform designed to work as a system of systems.  It is clear that over the past five or six years IBM’s focus has been on software and services.  Software has long provided good profitability for IBM. Services has made enormous strides over the past decade as IBM has learned to codify knowledge and best practices into what I have called Service as Software. The other most important movement has been IBM’s focused effort over the past decade to revamp the underlying structure of its software into modular services that are used across its software portfolio. Combine this approach with industry focused business frameworks and you have a pretty good idea of where IBM is headed with its software and services portfolios.

The hardware strategy has begun to evolve in 2005 when IBM software bought a little hardware XML accelerator hardware appliance company called DataPower. Many market watchers were confused. What would IBM software do with a hardware platform?  Over time, IBM expanded the footprint of this platform and began to repurpose it as a means to pre-packaging software components. First there was a SOA-based appliance; then IBM added a virtual machine appliance called the CloudBurst appliance.  On the Lotus side of the business, IBM bought another appliance company that evolved into the Lotus Foundations platform.  Appliances became a great opportunity to package and preconfigure systems that could be remotely upgraded and managed.  This packaging of software with systems demonstrated the potential not only for simplicity for customers but a new way of adding value and revenue.

Now, IBM is taking the idea of packaging hardware with software to new levels.  It is starting to leverage the software and networking capability focused on hardware-driven systems. For example, within the systems environment, IBM is leveraging its knowledge of optimizing systems software so that it applications-based workloads can take advantage of capabilities such as threading, caching, and systems level networking.

In its recent announcement, IBM has developed its new hardware platforms based on the five most common workloads: transaction processing, analytics, business applications, records management and archiving, and collaboration.  What does this mean to customers? If a customer has a transaction oriented system, the most important capability is to ensure that the environment uses as many threads as possible to optimize speed of throughput. In addition, caching repetitive workloads will also ensure that transactions move through the system as quickly as possible. While this has been doable in the past, the difference is that these capabilities are packaged as an end-to-end system. Thus, implementation could be faster and more precise. The same can be said for analytics workloads. These workloads demand a high level of efficiency to enable customers to look for patterns in the data that help predict outcomes.     Analytics workloads require the caching and fast processing of   algorithms and data across multiple sources.

The bottom line is that IBM is looking at its hardware as an extension of the type of workloads they are required to support.  Rather than considering hardware as as set of separate platforms, IBM is following a systems of systems approach that is consistent with cloud computing.  With this type of approach, IBM will continue on the path of viewing a system as a combination of the hardware platform, the systems software, and systems-based networking.  These elements of computing are therefore configured based on the type of application and the nature of the current workload.

It is, in fact, workload optimization that is at the forefront of what is changing in hardware in the coming decade. This is true both in the data center and in the cloud. Cloud computing — and the hybrid environments that make up the future of computing are all predicated on predictable, scalable, and elastic workload management.  It is the way we will start thinking about computing as a continuum of all of the component parts combined — hardware, software, services, networking, storage, collaboration, and applications.  This reflects the dramatic changes that are just at the horizon.