I just spent some time talking to ScaleMP, an interesting niche player that provides a server virtualization solution. What is interesting about ScaleMP is that rather than splitting a single physical server into multiple VMs, they are the only successful offering (to the best of my knowledge) that allows I&O groups to scale up a collection of smaller servers to work as a larger SMP.
Others have tried and failed to deliver this kind of solution, but ScaleMP seems to have actually succeeded, with a claimed 200 customers and expectations of somewhere between 250 and 300 next year.
Their vSMP product comes in two flavors, one that allows a cluster of machines to look like a single system for purposes of management and maintenance while still running as independent cluster nodes, and one that glues the member systems together to appear as a single monolithic SMP.
Does it work? I haven’t been able to verify their claims with actual customers, but they have been selling for about five years, claim over 200 accounts, with a couple of dozen publicly referenced. All in all, probably too elaborate a front to maintain if there was really nothing there. The background of the principals and the technical details they were willing to share convinced me that they have a deep understanding of the low-level memory management, prefectching, and caching that would be needed to make a collection of systems function effectively as a single system image. Their smaller scale benchmarks displayed good scalability in the range of 4 – 8 systems, well short of their theoretical limits.
My quick take is that the software works, and bears investigation if you have an application that:
Either is certified to run with ScaleMP (not many), or one where that you control the code.
You understand the memory reference patterns of the application, and
It’s rumored that the Ford Model T’s track dimension (the distance between the wheels of the same axle) could be traced from the Conestoga wagon to the Roman chariot by the ruts they created. Roman roads forced European coachbuilders to adapt their wagons to the Roman chariot track, a measurement they carried over when building wagons in America in the 19th and early 20th centuries. It’s said that Ford had no choice but to adapt his cars to the rural environment created by these wagons. This cycle was finally broken by paving the roads and freeing the car from the chariot legacy.
IT has also carried over a long legacy of habits and processes that contrast with the advanced technology that it uses. While many IT organizations are happy to manage 20 servers per administrator, some Internet service providers are managing 1 or 2 million servers and achieving ratios of 1 administrator per 2000 servers. The problem is not how to use the cloud to gain 80% savings in data center costs, the problem is how to multiply IT organizations’ productivity by a factor of 100. In other words, don’t try the Model T approach of adapting the car to the old roads; think about building new roads so you can take full advantage of the new technology.
Gains in productivity come from technology improvements and economy of scale. The economy of scale is what the cloud is all about: cookie cutter servers using virtualization as a computing platform, for example. The technology advancement that paves the road to economy of scale is automation. Automation is what will abstract diversity and mask the management differences between proprietary and commodity platforms and eventually make the economy of scale possible.
Having just finished the dynamic case management Forrester Wave™ — it will probably appear in mid-January — I was struck by the variation in the approaches between the vendors; especially how they represent the organization, and the variety of wrinkles associated with work assignment. This was not so much related to an individual case management vendor, but it became apparent when you looked across the products. And that got me thinking and discussing with colleagues, customers, and vendors around the challenges of realistically supporting the organization as it looks toward BPM generally. Of course, there are many different issues, but the one I want to focus on here is around organizational structures, roles, skills, and responsibilities.
The central issue I want to highlight is one that many folks just do not see coming in their BPMS and dynamic case management implementations. Very often, there is only a loose concept of “role” within an organization. When the word “role” is used, it is usually equated to an existing job title (part of the organization structure), rather than responsibility (at least initially). It is further complicated by the fact that within a given job title, there are usually wide variations in the skills and expertise levels of those who work in that area. And while this is not a problem where people manually coordinate their work, when it comes to automating work routing (to the most appropriate person to deal with a given work item or case), there are often major complications.
What is the definition of an "application"? We are "applications development and delivery professionals" - surely we have this question nailed, don't we? The question keeps coming up in different contexts, and since there are many potential opinions, a blog is the perfect place to spur debate. Here are some (simplistic) questions to generate debate:
Is a Web page an application?
If not, how many Web pages does it take until I consider it an application - 10, 100, 1,000?
Does size matter? (Please behave yourselves with this one.)
Is the size of the code base a pertinent factor?
What about SharePoint sites, Access databases, and spreadsheets? Are they applications?
Where do COTS and packaged apps fit?
Does the technology I use affect the definition?
If I use a scripting language for a quick-and-dirty task, is that an application?
Does SOA erode the definition of an application?
Do we cease thinking about applications as entities and think about them more as containers that hold collections of SOA services?
How does open source affect the definition?
How does my role affect my perception of an application?
Do developers and users use similar definitions?
I have my opinions - in fact I just finished a draft piece of research on it that will be published in January, but what are your opinions?
In his report on the top technology trends to watch in 2011 to 2013, my colleague Gene Leganza called out application portfolio management (APM) as one of a number of "planning and analysis tools to manage the future." Forrester clients seem to agree with Gene; in fact they aren't even waiting until 2011 - their interest has been building steadily throughout the second half of 2010.
MyCustomer.com recently asked me what my thoughts were about CRM — why initial CRM projects failed, what has changed to make deployments successful, and what the future holds for CRM. Here is the second part of my answers, as well as a link to the published article.
Question: What has improved/changed to make CRM implementations more successful now?
Answer: My flip answer is that we’ve all grown up. Our technology has matured, we now have best practice processes to scope, implement, and deploy CRM systems, and we understand the organizational commitment and achieve the ROI that CRM has been promising us for the last decade.
A more factual answer is that CRM systems are now feature-rich, with best practice and industry-specific workflows built into them. This means that customers can choose to adopt these best practices without needing many man-months of customization work. The CRM architecture has evolved to make them immensely scalable, more easily integratable with other IT systems, as well as easily changeable to keep in step with changing business needs (think about all the mergers and acquisitions that have happened in the past several years, and the IT changes that have had to quickly happen to preserve the customer experience). There are also SaaS solutions available to achieve a rapid time-to-value, and we see a significant uptick in SaaS CRM adoption. Vendors and system integrators have a proven track record of deploying, tuning, and optimizing CRM projects to achieve quantifiable ROI, and this knowledge can be easily leveraged.
Question: What typically characterized a CRM project 10 years ago? And what do you believe typically characterizes a CRM project today?
What will business and technology be like in 2020 – and what’s IT’s place in this new world? This is the subject of a teleconference that James Staten and I held for our clients yesterday and also the subject of an upcoming Forrester report.
In this teleconference, we painted a picture of the impact of business-ready, self-service technology, a tech-savvy and self-sufficient workforce, and a business world in which today’s emerging economies dwarf the established ones, bringing a billion new consumers with a radically different view of products and services, as well as in which surging resource costs – especially energy costs – crush today’s global business models.
In the past, when new waves of technology swept into our businesses – everything from the 1980s’ PCs to today’s empowered technologies – the reaction was the swinging pendulum of “decentralized/embedded IT” followed by “centralized/industrialized IT.” These tired old reactions won’t work in the world 2020. Instead, businesses must move to a model we call Empowered BT.
Empowered BT empowers business to pursue opportunities at the edge and the grassroots – but to balance this empowerment with enterprise concerns. Key to this balance is the interplay between four new “meta roles” – visionaries, consultants, integrators, and sustainability experts – combined with a new operating model based on guidelines, mentoring, and inspection. Also key is IT changing from a mindset in which it needs to control technology to one in which it embraces business ownership of technology decisions.
The teleconference chat window was busy as James and I presented our research. Here are the questions we weren’t able to answer due to time.
For some time there have been rumors about Deutsche Banking having selected TCS BaNCS for some or all of its international subsidiaries. Today, both Deutsche Bankand Tata Consultancy Services (TCS)published a press release announcing that Deutsche Bank will implement TCS BaNCS Core Banking as its new core banking platform for Global Transaction Banking (GTB). The first international subsidiary, which is located in Abu Dhabi, went live three days ago. I discussed the deal with N. Ganapathy Subramaniam (NGS), the president of TCS Financial Solutions.
EA teams like to know how mature their EA practice is. There are a lot of EA maturity models out there. You will find some of these assessments and maturity models discussed in a 2009 Forrester report. Many EA teams share the idea that there is a single “ultimate EA model” and that EA leaders should strive to move up the ladder to this ultimate model. It’s like a video game – you try to get to the next level.
For the past three months, the EA team’s Researcher Tim DeGennaro has been looking at these models and Forrester’s research on EA best practices to create a framework for assessing EA programs. This looked deceptively simple: Develop criteria based on the best practices we see in leading EA organizations, create an objective scale to rate an organization’s progress, offer reporting to illuminate next steps, and wrap it in an easy-to-use assessment package. What we’ve found so far is not only that avoiding the effects of subjectivity and lack of context is impossible but also that many assessment styles disagree on the most crucial aspect: What exactly is EA supposed to be aiming for?
Are you interested in business intelligence, wonder about the future of the analytics market or have a question on advanced analytics technologies?
Then join the Forrester analysts Rob Karel, Boris Evelson, Clay Richardson, Gene Leganza, Noel Yuhanna, Leslie Owens, Suresh Vittal, William Frascarelli, David Frankland, Joe Stanhope, Zach Hofer-Shall, Henry Peyret and myself for an interactive TweetJam on Twitter about the state of advanced analytics on Wednesday, December 15th, 2010 from 12:00 p.m. – 1:00 p.m. EDT (18:00 – 19:00 CET) using the Twitter hashtag #dmjam. We’ll share the results of our recent research on the analytics market space and discuss how it will change with new technologies entering the scene and maturing over time.
Business intelligence is the fastest growing software market today as companies are driving business results based on deeper insights and better planning, and advanced analytics is the spearhead of BI technologies that can untap new dimensions of business performance. But what exactly is ‘advanced’ analytics, what technologies are available and how to efficiently use them?
Much more detailed information can be found in the blog of Forrester analyst James Kobielus who will lead us through the discussion during the TweetJam. Above you see an overview graphic listing the different elements of advanced analytics today, taken from his blog.
Here are some of the questions we want to debate during our TweetJam discussion:
What exactly is and isn’t advanced analytics?
What are the chief business applications of advanced analytics?