Whether technology-focused or not, in today’s environment, all businesses have technical challenges to meet. Data is fundamental to evaluating markets, planning for growth, improving internal process efficiency, and dozens of other tasks across all areas of business. And with the great complexity of business data comes great complexity in data management. One way of meeting these challenges is to leverage converged data infrastructure in the cloud.
What is converged data infrastructure?
Converged infrastructure is a way of providing tested configurations of applications and services. With a converged system, technologies such as data storage, database queries, networking architecture, and other useful features are bundled together to address as many business needs as possible. This allows companies to outsource much of the costly setup and integration work, as well as allowing – in some cases – converged infrastructures to be replicated across providers.
Not all converged infrastructures, however, are provider-agnostic. Solutions from companies such as Amazon and Google may tie businesses in to their specific business model, and make it more difficult to replicate environments elsewhere. Whether or not this is desirable depends a great deal on what ancillary services a business needs to integrate, and how their disaster recovery plans are shaped.
What considerations go into selecting cloud infrastructure and converged data infrastructure?
Three major considerations should guide the cloud converged infrastructure decision: cost, management, and security.
- Cost. Cloud services perform well against services managed in-house because they tend to cut down on up-front expenses, and they can also reduce the need for a company to have a dedicated team of IT professionals and managers. However, care needs to be taken with savings in the cloud: some cost-saving measures, such as shared hosting environments, come with tradeoffs in the form of security. And the cost advantage of outsourcing data expertise and management is only a wise investment if the service provider chosen has the expertise and availability to meet all of a company’s needs.
- Management. Regardless of how experienced a service provider is, they can’t take on all facets of data management for a company. Companies need to research and make informed decisions about a number of aspects, such as what services are to be considered core, what converged stacks are under consideration, how important server location is, what namespace access (as well as replication and failover) is going to be, and how performance is going to be evaluated to determine whether the move to the cloud is a success. This may be a different skillset than a traditional IT manager may have, and businesses may need to invest in training to bring business sense and awareness to technical employees.
- Security. Some converged data infrastructure providers have excellent physical security and data encryption, and those companies with strong security practices should be sought out and preferred. But businesses also need to consider what security policies they’ll put in place, such as requiring access to cloud data to use VPN connections, or requiring strong passwords and up-to-date anti-virus software on personal devices in a BYOD workplace. Data security also needs to be taken in to account in the form of disaster recovery: for example, can a converged infrastructure solution be replicated across providers, in the case of a provider-wide outage?
The Final Word
There is no one-size-fits-all solution to data management. Converged data solutions, however, do offer a degree of standardization and ease of access which can be extremely powerful for businesses.
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