Information technology (IT) is the application of computers to store, study, retrieve, transmit, and manipulat data or information, often in the context of a business or other enterprise. IT
is considered a subset of information and communications technology
(ICT). In 2012, Zuppo proposed an ICT hierarchy where each hierarchy
level "contain[s] some degree of commonality in that they are related to
technologies that facilitate the transfer of information and various
types of electronically mediated communications.
1. Open philosophies
Open development breaks the data center down into its lowest-level
components, which fit together by open standards. Still, with less than
2% of enterprise applications designed for horizontal scaling,
enterprise IT should avoid lifting legacy apps onto open infrastructure.
Instead, put new workloads on building-block infrastructure, and
renegotiate your hardware contracts to get ready for more open-standard
hardware and software.
2. Automation
This trend is nothing new, but the next five years will be
transformative for IT automation, from opportunistic to systemic
implementation.
The problem, however, is IT administrators love scripts. They love
creating the best scripts, fiddling with scripts that come from
colleagues, and leaving little documentation when they move on to
another job. IT automation must evolve from scripting to deterministic
(defined workloads for tasks) then to heuristic design (automation based
on data fed in operations). There are banks today that use heuristic
automation because they have all the hardware that you could want,
Govekar said. But they lack the ability to automatically place workloads
that best at any given moment.
3. Software-defined everything
Software-define means the control plane is abstracted from the hardware, and it's going
on with every piece of equipment a data center can buy.
Software-defined servers are established, software-defined networking is
maturing and software-defined storage won't have much impact until at least 2017, Govekar said.
Don't approach software-defined-everything as a cost saving venture, because the real point is agility. Avoid
vendor lock-in in this turbulent vendor space, and look for
interoperable application programming interfaces that enable
data-center-wide abstraction. Also, keep in mind that the legacy data
center won't die without a fight.
4. Big data
Big data analysis is used in a number of ways to solve problems
today. For example, police departments reduce crime without blanketing
the city with patrol cars, by pinpointing likely crime hot spots at a
given point in time based on real-time and historical data.
Build new data architectures to handle unstructured data and
real-time input, which are disruptive changes today. The biggest
inhibitor to enterprise IT adoption of big data analytics, however, isn't the data architecture; it's a lack of big data skills.
5. Internet of Everything
Is IT in charge of the coffee pot? If it has an IP address and connects to the network, it might be.
Internet-connected device proliferation combined with big data
analytics means that businesses can automate and refine their
operations. It also means security takes on a whole new range of end
points. In data center capacity management,Internet of Everything means
demand shaping and customer priority tiering, rather than simply buying
more hardware.
Build a data center that can change, don't build to last, Govekar said.
6. Webscale IT
For better or worse, business leaders want to know why you can't do what Google, Facebook and Amazon do.
Conventional hardware and software are not built for web scale IT ,
which means this trend relies on software-defined everything and open
philosophies like the Open Compute Project. It also relies on a major
attitude adjustment in IT where experimentation and failure are
allowed.
7. Mobility
Your workforce is mobile. Your company's customers are mobile. Bring
your own device has morphed into bring your own toys. The IT service
desk can't fall behind this trend and risk giving IT a reputation of
being out of touch.
Bring data segregation-- personal and business data and applications
isolated from each other on the same device -- onto your technology road
map now.
8. Bimodal IT
No one's congratulating IT on keeping the lights on and the servers
humming, no matter how difficult it can be. Bimodal IT means
maintaining traditional IT practices while simultaneously introducing
innovative new processes -- safely.
Take the pace layering concept from application development and
apply it to IT's roadmap, and find ways to get close to customers.
Bimodal IT will make your team more diverse.
9. Business value dashboards
By 2017, the majority of infrastructure and operations teams will
use dashboards to communicate with the outside world. Govekar made the
analogy of the business-value dashboard vs. IT metrics to cruise ship
reviews vs. cruise ship boiler calibration reports. They serve different
purposes.
Evaluate business-value dashboards and complement them with IT staffers
that speak the same language as your business stakeholders.
10. Organizational disruption
All the trends above feed shadow IT, where the business units steer around IT to gain agility.
Some IT teams are trying a new approach; rather than quash all shadow IT operations
they find, these companies allow business users to set up shadow IT for
projects and track the performance like a proof-of-concept trial. If
the deployment succeeds, IT formally folds shadow IT into the
organization.