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."
More detailed analysis is available in the report "The Top 10 Cloud Myths." The report is available on Gartner's website at http://www.gartner.com/document/2860422.