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I’ve been focused on blogging over at EMC’s InFocus blog for the last year, but I want to get back to Mr. Infrastructure and start blogging more frequently about a wider variety of topics. First up is some thoughts on a topic I’ve been spending a lot of time thinking about these days: Bespoke IT versus Fit for Purpose. We’ve spent a lot of time on bespoke IT in the industry, building new applications, silos, architectures, etc. to meet a specific need based on the skills and tools we are familiar with. We often don’t have the luxury to go out and investigate what the right tools would be and learn them in order to best apply them. If I think of this in sartorial terms, we make some outstanding, finely fit suits, but it might be in last decade’s style or colors. The suit might be of the highest quality and yet might not meet the needs of the wearer, or might stand out for all the wrong reasons in a crowd. Just because it’s bespoke doesn’t mean it’s the best way to approach the problem.
This is a long lead in to what I really want to talk about, the idea of Fit for Purpose. EMC acquired Adaptivity and I’ve been lucky enough to get to work with that great team, and learn a lot about how they think about IT, Applications and Infrastructure. They have a lot of talent on that team and I’ve learned a lot in conversations and brainstorming with them. Their Chief Scientist is Sheppard Narkier and he’s started to share many of his ideas, thoughts, and experiences on InFocus, see his post on Lessons Learned: The Quality of Design is not Fuzzy. On the surface , “Fit for Purpose” is nearly self explanatory, the idea of designing IT and Business systems based upon what they’ll be used for and how they’ll consume infrastructure. But to those not used to thinking in that paradigm, this explanation could be considered too coarse grained as a definition, let me explain a bit further. Continue reading Bespoke IT vs. Fit for Purpose
There’s been a lot of interest in converged infrastructure platforms by IT organizations, and these can be a great foundation for a cloud infrastructure across the enterprise. However, our experience working with clients on realizing their converged infrastructure suggests that you need to think about this not just as a technology deployment, but also a catalyst to transform to a cloud operating model.
If you’re going to meet business expectations for improved IT agility, you’d better make your processes as agile as the technology can support. What does all this mean? And how can you leverage converged infrastructure to achieve such an operating model?
I recently did a 20 minute slidecast with Rich Brueckner of Inside-Cloud, and we discussed best practices for realizing converged infrastructure and the drivers for it.
Take a look/listen and let me know what you think:
Go Big or Go Home, seems trite, but it is applicable to IT transformation. Companies that are successfully adopting cloud technologies are taking a transformation approach, not a technical project approach. The larger the scale of the program the more traction they are getting across the enterprise, business and IT. For too long virtualization has been conflated with consolidation and that’s been one of the sticking points when it comes to trying to get the business and application owners to buy in to change. Continue reading Go big or go home!
I’m about to commit a bit of cloud heresy as a technology guy writing about cloud and claiming that it’s really not all about hypervisors, automation and orchestration. Sure, you need a measure of these components in order to be able to deliver on the cloud vision and model efficiently, but does that really solve the problems that are driving the consumers of IT to try and skirt enterprise IT and give their dollars to the public cloud? I think the number of services being consumed that are called cloud but really aren’t and the amount of cloud washing going on in the marketplace clue us in on the fact that it’s not the technology per se that is driving the consumption of cloud. The key thing I am hearing from my customers, and more importantly their customers, is that what is driving people to consume these services, some of which are actually inferior from a service management stand point to what is already offered internally, is the ease of consumption. Consumers are voting with their dollars for quick provisioning, knowing what they’ll pay and the levers that effect that cost, and transparency around what they are getting and using. Continue reading Cloud Heresy
With apologies to Chuck Hollis at EMC and James Governor at RedMonk I decided to take a crack at this whole “Why Applications are like fish and Data is like Wine” meme by extending it to posit that Information is like Cognac. Now, I’m not usually one to kick a dead horse but I think that all the talk of Big Data has maybe obscured something that I view as a problem with Big Data: knowledge workers don’t consume data, they consume information. I see Big Data as a problem quite frankly, and the IDC Digital Universe Study put it in context. If Big Data is the problem, Big Information is the goal, and to get there we need automation and analytics. So if you’ll bear with me I’ll share how I think Information is like cognac. Continue reading Why Information is like Cognac
IDC Released their 2011 Digital Universe Study and the results are pretty amazing: data is doubling every two years! This is the fifth year that the IDC has released this study and each year I continue to be surprised by the results, just when I think things have started to reach terminal velocity around data growth they accelerate more. Currently data growth is outpacing Moore’s Law, suddenly the phrase Big Data just doesn’t seem to cut it any more. There are all sorts of findings in the study and the repercussions for our industry will require many changes.
I recently wrote here about the need for automation in security, and Christopher Hoff has suggested some practical ways to get started here and has started an initiative around Security Automata here. This is one of the ways that the growth of data is impacting security, the very framework for how we approach protecting assets needs to change in light of the deluge of data. Continue reading The ever expanding Digital Universe