Cloud
computing is uniquely susceptible to the perils of myths due to the
nature, confusion and hype surrounding it, according to Gartner, Inc.
These myths slow things down, impede innovation and induce fear, thus
distracting from real progress, innovation and outcomes.
"Cloud
computing, by its very nature, is uniquely vulnerable to the risks of
myths. It is all about capabilities delivered as a service, with a
clear boundary between the provider of the service and the consumer,"
said David Mitchell Smith, vice president and Gartner Fellow. "From
a consumer perspective, 'in the cloud' means where the magic happens,
where the implementation details are supposed to be hidden. So it
should be no surprise that such an environment is rife with myths and
misunderstandings."
Even
with a mostly agreed on formal definition, multiple perspectives and
agendas still conspire to mystify the subject ever more. Add the
incessant hype and there can be a resultant confusion that permeates
IT (and beyond) today. Gartner has highlighted some of the most
dangerous and misleading cloud myths:
Myth
1: Cloud Is Always About Money
While
prices are dropping, especially for infrastructure as a service
(IaaS), not all cloud service pricing is coming down (for example,
most software as a service [SaaS]). Assuming that the cloud always
saves money can lead to career-limiting promises. Saving money may
end up one of the benefits, but it should not be taken for granted.
Myth
2: You Have to Be Cloud to Be Good
This
is the manifestation of rampant "cloud washing." Some cloud
washing is accidental and a result of legitimate confusion, but some
is also based on a mistaken mantra (fed by hype) that something
cannot be "good" unless it is cloud. IT organizations are
also increasingly calling many things cloud as part of their efforts
to gain funding and meet nebulous cloud demands and strategies. The
resultant myth is that people are falling into the trap of believing
that if something is good it has to be cloud.
Myth
3: Cloud Should Be Used for Everything
Related
to Myth 2, this refers to the belief that the actual characteristics
of the cloud are applicable to, or desirable for, everything.
Clearly, there are some use cases where there is a great fit,
however, not all applications and workloads benefit from the cloud.
Unless there are cost savings, moving a legacy application that
doesn't change is not a good candidate.
Myth
4: "The CEO Said So" Is a Cloud Strategy
When
asked about what their cloud strategy is, many companies don't have
one and the default is often (stated or not) that they are just doing
what their CEO wants. This is not a cloud strategy. A cloud strategy
begins by identifying business goals and mapping potential benefits
of the cloud to them, while mitigating the potential drawbacks. Cloud
should be thought of as a means to an end. The end must be specified
first.
Myth
5: We Need One Cloud Strategy or Vendor
Cloud
computing is not one thing and a cloud strategy has to be based on
this reality. Cloud services are broad and span multiple levels
(IaaS, SaaS), models ("lift and shift," cloud native),
scope (internal, external) and applications. A cloud strategy should
be based on aligning business goals with potential benefits. Those
goals and benefits are different in various use cases and should be
the driving force for businesses, rather than any attempts to
standardize on one offering or strategy.
Myth
6: Cloud Is Less Secure Than On-Premises Capabilities
Cloud
computing is perceived as less secure. This is more
of a trust issue than based on any reasonable analysis of actual
security capabilities. To date, there have been very few security
breaches in the public cloud — most breaches continue to involve
on-premises data center environments. While cloud providers should
have to demonstrate their capabilities, once they have done so there
is no reason to believe their offerings cannot be secure.
Myth
7: Cloud Is Not for Mission-Critical Use
Cloud
computing is not all or nothing. It is being adopted in steps and in
specific cases. Therefore, it is not surprising that early use cases
are mainly not for mission-critical systems. However, many
organizations have progressed beyond early use cases and
experimentation and are utilizing the cloud for mission-critical
workloads. There are also many enterprises (not just small startups
any more) that are "born in the cloud" and run their
business (clearly mission-critical) completely in the cloud.
Myth
8: Cloud = Data Center
Most
cloud decisions are not (and should not be) about completely shutting
down data centers and moving everything to the cloud. Nor should a
cloud strategy be equated with a data center strategy. Neither should
it be done in a vacuum — there should be data center space for
things not in the cloud and, if things are moved out of the data
center, there are implications. But they are not the same thing. In
general, data center outsourcing, data center modernization and data
center strategies are not synonymous with the cloud.
Myth
9: Migrating to the Cloud Means You Automatically Get All Cloud
Characteristics
Don't
assume that "migrating to the cloud" means that the
characteristics of the cloud are automatically inherited from lower
levels (like IaaS). Cloud attributes are not transitive. Distinguish
between applications hosted in the cloud from cloud services. There
are "half steps" to the cloud that have some benefits
(there is no need to buy hardware, for example) and these can be
valuable. However, they do not provide the same outcomes.
Myth
10: Virtualization = Private Cloud
Virtualization
is a commonly used enabling technology for cloud computing. However,
it is not the only way to implement cloud computing. Not only is it
not necessary, it is not sufficient either. Even if virtualization is
used (and used well), the result is not cloud computing. This is most
relevant in private cloud discussions where highly virtualized,
automated environments are common and, in many cases, are exactly
what is needed. Unfortunately, these are often erroneously described
as "private cloud."
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