18/10/2013
When it comes to enterprise IT strategy, the basic model most shops have used to guide provisioning and operations is in customer demand. our natural desire for rational and gradual change.
People don’t like chaos. We like things that are smooth, regular and symmetrical. Things that are orderly, straightforward and consistently play out in predictable ways.
But the world doesn’t work that way—at least, not for long, and not in general.
Euclid, Kepler and Newton built science on absolute ideals, but it only works as long as things can be approximated with simple, linear models. That hugely limits the situations, scale points and timeframes that can be simply modeled.
That’s where things break. It turns out that some things that should be straightforward are, in fact, impossible. And when things change—when metal wears out and snaps, when markets collapse or when customer expectations and demands suddenly shift—th; If you fail to systematically account for change because it’s exceptional, you’re not going to genuinely anticipate what’s ahead. Disruption is where fortunes are made or lost.
We say something’s not ready for prime time -- then boom! It’s here, and everyone’s scrambling to figure out how to navigate. Two or three years later, everyone’s accommodated the shift—and forgotten how disrupted they were. We slip back to expecting a neat, linear future. Then we’re surprised again.
Current IT strategy use capacity planning, capital and project planning, and labor development techniques that assume the future will be pretty much like the past, plus a 2% to 20% annual change.
Wr fundamentally reject the notion that we can know what customers will want in the future, replacing it with an iterative model that constantly reexamines requirements and what to do next? Change, and a process to accommodate it, is built in.
Similarly we reject the idea of static data centers and workloads, and we don’t assume that systems are stable and reliable. Instead, we assume that everything may change or break—so systems and other infrastructure had better be easily built and deployed in rapid, repeatable, ideally automated ways. monitors what’s happening in real time, and seeks to provide intelligent automated responses...
The good news is that we have a growing body of best practices for how to operate and invest in a change-dominated world.
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