The cloud is on everyone’s lips , transcending the boundaries of specialized IT environments. It is the result of an increasingly accelerated expansion of the cloud solutions, powered by constant advertising campaigns.
However, just as with everything that becomes popular, that notoriety has also led to frequent errors and confusion when interpreting what cloud computing really means, and to identify their advantages and disadvantages. In many cases it is advertising itself, whose commercial intentions are sometimes well above the offer honest service to potential customers, which leads to misconceptions.
The customer disappointments can lead to mistrust, and ultimately this would be a distraction to the results, progress and innovation. That’s why the analyst firm of Gartner has recently published a report to demystify all those made statements about the cloud , which have contributed so much ambiguity.
The vice president of Gartner, David Mitchell Smith ,stated that ” cloud computing, by its nature, is particularly vulnerable to the risks of myths. It’s about capabilities delivered as a service, with a clear boundary between the service provider and the consumer. From the consumer perspective, ‘cloud’ means ‘where the magic happens’ where implementation details are supposed to be hidden “.
The issue becomes particularly severe on the understanding that by now most have already accepted a formal definition of cloud computing. And nevertheless still many perspectives and opinions that seem bent exist which feed the myths.
Gartner has listed the following ten myths about the cloud :
1. The cloud is becoming cheaper again : This, like most, is a half truth because it is true that in many cases cloud computing saves more and more money, not all prices lower cloud services, as in the case of SaaS (Software as a Service).
2. To be good you have to be in the cloud : Gartner denies that this is necessarily true, as many organizations can get better benefits with other solutions, such as its own data center to a company operating in places with strict data protection laws .
3. Cloud computing should be used for all : Its not at all it! There are applications and workloads that do not benefit of cloud services.
4. Call cloud strategy to what he says CEO : Cloud is a means to an end, not an end in itself; therefore, you must first define the purpose and not the CEO dictates cloud computing as a strategy, nothing more.
5. Believe that you should only have a single strategy cloud : Each type of business objective will be better supported by different cloud models, such as IaaS, PaaS or SaaS , and different types of clouds (public, private or hybrid), which should lead to various strategies.
6. The cloud is less secure than the facilities themselves : As some of the above myths were the “overly positive” type, there are those who give negative ideas and induce fear of customers, as is the case of the latter, based on the idea that accommodates valuable data to third party infrastructure increases the risk for them. It is something that Gartner believes more based on distrust in the facts, since if the cloud provider meets the requirements of security required, the result should be less reliable than using own infrastructure .
7. The cloud is not suitable for mission-critical applications : Although there are cases where this is so, more and more organizations using cloud workloads for mission-critical, and even those that fully utilize the cloud environment entire business; not for nothing that many are “born in the cloud”, and are not just small startups.
8. Cloud = Datacenter : In most cases, the outsourcing of data centers , updating and strategies should not be construed as equivalent to cloud computing strategies.
9. When migrating to cloud are achieved all its features : Since each cloud type has its own characteristics, they are not completely portable, and therefore no benefits.
10. Private Cloud Virtualization : Virtualization is only the first step in developing a private cloud, but then you have to implement solutions with ability to provision resources on demand , adapt to processing needs , and monitor and measure usage .