Factors to Consider while Deploying Software-Defined-Storage

By CIOReview | Thursday, May 25, 2017
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Analysts predict that the market for software-defined storage is exceeding by $5 billion by 2018. Today, software-defined is the new buzz word in the Information Technology world. Computing, networking and now storing have all been attached to the software-defined wagon. But what is software-defined storage?

It is a unique way to store the data in which the storage-related tasks is decoupled from the physical storage. SDS leverages virtualization technology to develop a conceptual model of the data on storage hardware. This virtual model of physical data eliminates the liability on its associated physical carriers, and simplifies the reconfiguration of the network resources. Having the ability to manage storage system from a central console, Software-Defined Storage (SDS) may hold a lot of promise. However, implementation is a growing concern. There are many organizations still using old-age hardware and software. So what is the best way to go about it?

Here are few tips on things to keep in mind while implementing SDS.

Match the Servers

The Enterprises must always select a product that embraces the current server system. This is because complete benefits of a server can be experienced only when users are allowed to run software on the same brand of servers they use for other workloads, with the same freedom from lock-in they enjoy.

Pay as you Grow

One of the major advantages of deploying SDS is enterprises can reap pay as they grow option. In addition to that they can experience immense flexibility, agility and new capacity or bandwidth. Once the SDS is implemented successfully, it is essential to continuously monitor utilization and make space for additional systems that can be added a quarter in advance for strong utilization rather than three to five years in advance and risks going forever unutilized.

Know the Objectives

Enterprises must have a clear-cut notion of what they are trying to achieve accomplish with SDS. For instance, if enterprise is looking to eliminate vendor hardware lock-in, they must ensure that they are cognizant of potential software-defined storage vendor lock-in, too.

Customizable

While implementing SDS solutions, enterprises must build the storage application that is a customized and best fit to their workload requirements. This is because of the ability of SDS to associate value-added services with virtual storage volumes that include mirroring, replication, thin provisioning, and deduplication.

Costs

The ultimate aim of enterprises is to reduce the total cost. To accomplish this enterprise must consider the costs of additional systems that are being used during the deployment of SDS solutions. This includes extra space, power, cooling costs for a lab to implement, and efficient lab for testing a solution before putting it into production. These are all significant costs that must be included as a part of all new software-defined solutions.

SLA

Deployment of SDS may look simple but it involves many hardware systems. That’s the reason why technology advisors must go through the vendor’s SLA thoroughly. It is important that vendor support meet all the SLAs and overall business needs to avoid undesirable situations.

Hypervisor Integration

In order to make deployment and management as easy as possible, enterprises must tightly integrate with the hypervisor because most of the times SDS is an extension of virtualization technology. That is the key to make the management experience seamless and naturally extending the skillsets and management tools used today for server virtualization.

Additionally, the rigid integration can ultimately lead to a significantly lower-cost solution by enabling greater virtual machine density per servers. With tight integration, the performance of the storage can be optimized to shorter I/O paths and lower overhead, delivering more of the CPU and memory resources.