Changing business needs driving new trends in data centers
The lack of skilled IT workers is hurting the deployment of emerging technology, according to a new survey from Gartner. In areas from cloud to cybersecurity, this crisis is expected to last for years to come.
Emerging technologies and relentless businesses demands are pushing the limits of data centers causing them to undergo tremendous changes - but there are ways IT professionals can get ready to embrace the change.
Given below are the top 10 trends that according to Gartner underscore
the intersection of cutting edge IT and business expectations:
Open development: Open development is at the top of the best practices
for horizontal application scaling. When a data center is built on open
standards, it can be decoupled into its lowest level components. This
flexibility, allows data centers to make the most out of innovations in both software
and hardware fields that happen independent of each other.
Automation: So
far, automation in data centers was deterministic (selected manual steps or
processes are automated). It led to disconnected islands of automation. Realizing
this, companies are now shifting to heuristic automation (automation based on human
learning than on the process).
Software-defined data
centers: In a software-defined data center, every piece of infrastructure is virtualized and
delivered as a service. This means
that the hardware configuration is managed using intelligent software systems. A
software defined data center provides increased levels of automation and
flexibility that boosts business agility.
Big Data: Unstructured
data and real-time input are disruptive changes in data centers. Building new
data architectures to handle these disruptions is the need of the hour.
Internet of
everything: Companies are recording actions of users on every
Internet-connected device, creating large inventories of data. Enabled by big
data analytics, businesses analyze this data to automate and refine their
operations. The focus of data centers will shift to demand shaping and customer
priority tiering.
Web-Scale IT: Business
leaders across the world are shifting their attention to Web-scale IT. But, conventional
hardware and software do not suit Web-scale IT. So, data centers will rely on software-defined
everything and open philosophies to meet the expectations of their clients.
Mobility:
Customers use same devices - mobile phones, laptops etc for both personal and
work related activities. It is time businesses brought segregation in the data -
personal and business data, isolated from each other on the same device.
Bimodal IT: Biomodal
IT a combination of classic-style and modern IT practices. It allows data
centers to safely introduce innovative new processes while maintaining
traditional IT practices.
Business value dash
boards: Infrastructure and Operations
(I&O) teams use business value dash boards to justify their expenditure and
chart progress on corporate goals. Soon, a majority of I&O teams will use
the dash boards for communication with the outside world too.
Organizational
disruption: IT systems and solutions that are built and used without formal
approval from the company are called Shadow IT. Some IT companies are
encouraging business user to set up Shadow IT projects and track their
performance. It they succeed, the IT systems/solutions will be approved by the
management to be used in the company.
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