DMaaS is the solution to hybrid cloud complexity issues

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By Iniel Dreyer, MD at Data Management Professionals South Africa

After an early effort to move everything to the cloud, companies are increasingly moving towards a hybrid cloud environment, with a mix of private and public cloud infrastructure and services, coupled with on-premises storage.

Over the years, organizations have realized there’s no one-size-fits-all solution when it comes to technology, and many – especially companies with legacy systems that aren’t cloud-ready – are paying much more attention specific to what should and should not be migrated to the cloud. Yet, despite the benefits of hybrid cloud, the complexity and risk of data management can creep in. This is where Data Management as a Service (DMaaS) can help.

The hybrid cloud model is likely to exist for a long time to come, with its adoption being driven by business needs such as scalability, with many companies incorporating cloud brokerage into their strategy to leverage the cost advantages of different vendors. . This involves the movement of data between cloud providers and introduces several challenges, primarily complexity and a lack of data protection visibility.

Contrary to expectations

This is often contrary to expectation, as many companies starting their journey to the cloud believe that everything will work like magic. Perhaps migrating to the cloud seems so easy because of the perception created by cloud providers, organizations expecting a seamless migration, a less complex and easier to manage environment, and an IT team that can s sit down because everything has to fit together and work perfectly.

Unfortunately, often the opposite is true, because with hybrid cloud models there is a lot more complexity due to data residing in different environments and there are often issues with roles and responsibilities, in particular to understand the elements for which the customer and the supplier are respectively responsible. .

In addition to this complexity, companies must also be aware of the risks associated with backing up and restoring data. Again, assumptions tend to be made, with many companies assuming that the cloud provider will take care of their data. However, this is most often not the case, so it is very important for companies to understand their data retention requirements. If their cloud provider does not meet these requirements, organizations should ensure they have the ability to protect their own data and comply with their own rules and regulations.

Disparate systems and locations

Another challenge with the nature of hybrid cloud models is that the various disparate systems and locations where data resides require a carefully planned and designed data management strategy. Otherwise, companies could end up with point products specific to each environment to protect their data. This will create overly complex data management without a single glass window that gives businesses a view of their data so it can be adequately protected, not to mention the cost implications of operating multiple point products.

Essentially, the one-stop-shop approach is the key to data protection. Unfortunately, data protection is often overlooked and ends up being pushed aside before companies realize things won’t work as expected. It is therefore crucial when building a hybrid model to keep data protection in mind and incorporate it into the design. Therefore, the best approach is to deploy products and solutions that provide a single view of data protection, making management much easier and reducing complexity.

Single view

Very often, the solution to these challenges and a good example of the one-pane-of-glass approach can be found in the adoption of a DMaaS model, which allows companies to grow and shrink their data ecosystems as their needs change in different hybrid cloud environments, without losing money. With a DMaaS model, it doesn’t matter where a company’s data resides because it will be protected, without the need for additional hardware or software, even when moving data between cloud and on-premises environments. .

A DMaaS model also allows companies to access the right skills and expertise through a service provider. These skills are often lacking in these hybrid environments, especially in small and medium-sized businesses, which do not have large dedicated IT teams. A vendor’s skills and expertise will not only ensure that the environment is designed correctly, but will also free up a company’s IT staff to focus on their core tasks.

Finally, there is no capital expenditure requirement upfront, which means it becomes an operational expenditure from the start. This is especially useful for businesses that are transitioning to the cloud and may not know what their data management requirements will ultimately be. Again, growing or shrinking the environment will require no additional cost.

Sharon D. Cole