With today’s technology that pushes us towards embracing a multi-cloud data strategy, it is important to vet the myths before you commit. In this article, we have compiled 10 different myths about multi-cloud data management and discussed how these values might not be true for your company.
What is multi-cloud data management?
Multi-cloud data management is the practice of storing and accessing data across multiple cloud services. It’s a common approach to digital transformation, but it’s not without risks.
While cloud computing has created Brobdingnagian strides within the past year toward turning into a thought business tool, lots of half-truths, mistruths, and sensible old-school falsehoods square measure still whirling around with relevance to the cloud’s place within the enterprise.
10 Myths of Multi-cloud Data Management
We’ve all heard the myths about multi-cloud data management. As a result, we’re being left with a lot of confusion and uncertainty when looking at the best way to handle sensitive company data. We’ll try to dispel those myths and give you some actionable steps that will help you implement multi-cloud data management in your organization today.
Myths still plague cloud computing. These misconceptions will slow enterprises down, impede innovation, and stoke fear. though cloud computing has become way more thought within the last 5 years, a number of the myths that circulated throughout its advent still persist these days. New myths have entered similarly.
Read through ten of the foremost common public cloud computing myths to develop realistic expectations.
Myth #1: Cloud data is usually regarding cash
The prevailing story regarding the cloud is that it perpetually saves cash. this is often typically the case, however, their square measure many different reasons for migrating to the cloud, and the foremost common of that is gracefulness.
All business choices, as well as those regarding cloud, square measure ultimately regarding cash. although gracefulness is the ultimate goal, value continues to be a priority. Don’t assume you may economize unless you have got done the exertions of honestly analyzing your state of affairs.
Utilize total value of possession and different models on an item-by-item basis. phase cloud into use cases. Look beyond value problems. it’s necessary to confirm that the business doesn’t have impractical value-saving expectations that aren’t delivered upon.
Myth #2: There’s no distinction between virtualization and also the cloud-data
It’s true that virtualization could be a key technology that allows cloud computing, however virtualization alone will not build a cloud. whereas virtualization is primarily centered on server and work consolidation with the goal of reducing infrastructure prices, cloud computing involves way more than that.
Consider that a recent survey of its members conducted by IOUG (Independent Oracle User Group) discovered that cloud customers square measure adopting Platform as a Service earlier than Infrastructure as a Service. That’s as a result of those businesses’ square measure finding that whereas the infrastructure-centric approach taken by virtualization offers a vital price.
Those companies square measure gaining even additional gracefulness and suppleness and savings from the advantages that Platform as a Service provides higher levels of standardization and resource sharing, less nonuniformity and complexness, and lower prices.
Myth #3. Cloud data is usually cheaper
On the opposite finish of the value, spectrum could be an idea that cloud implementations square measure perpetually less costly than on-premises deployments, as a result of there is no information center hardware investment and maintenance. This is similar to spoken language that which dealings a house is perpetually cheaper than shopping for one.
Sometimes, dealings are a smaller amount pricey. But if the client plans to remain in a very home for a protracted time, owning is the higher money call.
“A heap of individuals interprets cloud rating. They assume that, as a result of its new and extremely fashionable, it must be cheap,” aforesaid microphone Harold Lloyd, CTO of RedSeal, a security risk evaluation platform.
The public cloud may be dear once users get a hard and fast quantity of computing power for a protracted amount of your time, compared with a physical server on-premises. The cloud is best for users UN agency square measure unsure regarding what they’ll like within the long run — similar to renting a home.
Myth #4: Cloud data ought to be used for everything
Cloud data be a nice appropriate some use cases, like extremely variable or unpredictable workloads or for wherever self-service provisioning is vital. However, not all applications and workloads square measure an appropriate cloud. For example, unless clear value savings may be completed, moving a heritage application is usually not an honest use case.
The cloud might not profit all workloads equally. Don’t be afraid to propose non-cloud solutions once acceptable.
Myth #5: Public clouds square measure still not secure.
Security has long been one of the prime issues among organizations considering a move to public clouds. the very fact is that companies usually improve application and information security by investment enterprise-grade public clouds.
Several company information centers have restricted security resources and experience, challenges meeting regulative necessities, obsolete code, and hardware, and don’t perform regular security audits and assessments. On the opposite hand, tight security is table stakes for any public cloud supplier as several have the following:
- a dedicated team of cloud security specialists,
- processes that guarantee full compliance with regulative, and business standards,
- regularly scheduled third-party security audits, and,
- Automatic updates for his or her hardware and code.
Still, not all cloud security is equal, and also the best recommendation is to review your cloud provider’s security technology and practices to grasp any potential security risks.
That last sentence refers to a singular cloud provider–but will not I want multiple cloud providers? Let’s take a look at story #6:
Myth #6: we’d like multiple clouds to run our business.
There square measure enough SaaS, PaaS, and IaaS suppliers vying for your business to form your head spin—which is probably an honest description of what your head’s doing recently.
Whereas it’d seem to be an honest plan to select a good vary specialized cloud product and services to handle completely different crucial business functions, consider the info silos and fragmented business processes that you’ll face once deploying multiply specialized clouds and applications.
You’ll upset advanced and expensive integrations as you weave all those items
along and check out to keep up with them, and you’ll be guaranteeing that your business users can face multiple, inconsistent user interfaces and experiences.
In a recent survey of business managers according to employees’ time period, uncomprehensible business deadlines, and scrubby innovation initiatives thanks to poor integration of cloud applications from multiple vendors (source: freelance research conducted by Dynamic Markets in might 2013: Cloud for Business Managers: the nice, the dangerous and also the Ugly).
A complete, integrated enterprise resolution like Oracle Cloud eliminates the necessity for advanced integrations and disjointed user experiences that result from the victimization
of multiple specialized cloud data. For additional on this very important issue, please see our recent column referred to as Cloud Computing And The Integration peat bog.
Myth #7:f The cloud data can fix dangerous design
Another thought is public cloud can as if by magic fix poor application design.
For example, lifting and shifting a virtual machine into the cloud won’t add resiliency on its own. But, with a bit of additional configuration and careful image management, even the foremost brittle bequest workloads will benefit from auto-recovery and autoscaling teams.
Enterprises unlock the advantages of the public cloud once they move up the stack with the meaningful use of PaaS, serverless and different native services.
Myth #8: Cloud data is usually safer than on-premises capabilities
However, there have been only a few security breaches within the public cloud, and most breaches still involve a misconfiguration of the cloud service. Today, the bulk of cloud data suppliers invest considerably in security, realizing that their business would be in danger while not doing, therefore.
Yet this doesn’t mean that security is bonded within the cloud. CIOs mustn’t assume that cloud suppliers aren’t secure, but should also not assume that they’re. As security levels of cloud suppliers vary, assess your actual capabilities and your potential provider’s capabilities and hold each to affordable standards.
Myth #9: Containers continually ease multi-cloud deployments
Containers and Kubernetes clusters will build it easier to migrate applications across cloud data, and many executives believe these abstractions prepare the applications for multi-cloud situations.
The more away a bequest work is from a 12-factor app, the less seemingly it may run in production during a container. solely contemplate multi-cloud within the context of SaaS or a poly-cloud strategy that separates workloads across cloud platforms, like Google for machine learning, AWS for app preparation, and Azure for .NET applications. Enterprises best understand the advantages of the cloud once they go far on a specific platform and use its native services.
Myth #10: Enterprises square measure moving back from the public cloud
The idea that workloads square measure being repatriated from the cloud is primarily an illusion on the part of legacy vendors UN agency would like this story to be true. the truth is that almost all enterprises haven’t moved cloud workloads back of these that have been affected, most aren’t returning from cloud infrastructure as a service (IaaS), but rather from SaaS, colocation, and outsourcers.
That is to not say each cloud migration is winning. However, organizations square measure a lot of seemingly to handle problems as they arise instead of abandoning their cloud strategy and moving applications back to their original location.
Benefits of moving your business to the cloud
Many businesses decide to shift their data and infrastructure to cloud data because they do not have time, resources, or knowledge of how to manage the growing amount of IT tools and applications. Despite this, some myths abound about business migration to the cloud – here is a list of 10 common myths.
What are the most common concerns of moving from on-premises data centers?
The most common concerns are which software to use, how to migrate from on-premise data centers, which skills will be needed by the new team, and which tools to use.
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How does cloud data help businesses?
Cloud data is a powerful tool that can be used to make your business more efficient. It’s not only useful for storing information, but it has other uses such as streamlining data management and data synchronization. There are many myths about the cloud, so here are 10 common misconceptions that you can avoid.
Myths about privacy with the cloud data
Some of the biggest myths about multi-cloud data management include:
1) Your data is secure with a multi-cloud solution,
2) You can’t easily move your data from one cloud to another,
3) Your data is not safe in the cloud,
4) Multi-cloud data solutions are expensive, and
5) It’s easier to manage an IT infrastructure from the cloud data.
