Companies today have a common challenge: Addressing their growing business needs while building an agile, automated, and programmable data center. As a result, an increasing number of IT organizations are starting to adopt a Software-Defined architecture as a means of transforming their legacy data centers into an IT as a Service (ITaaS) model.
Software-defined solutions started to gain traction in the beginning of this decade, and received a big boost with VMware’s over a billion-dollar acquisition of Nicira. In fact, the software-defined data center (SDDC) market is estimated to have crossed the $25 billion-dollar mark in 2016, and is expected to cross $80 billion by end of this decade.
With all this projected growth, it might be worth looking at a couple of key issues:
What is SDDC
Depending upon who you talk to and when, the definition of a software-defined model may vary. But in simplified terms, SDDC decouples software from the underlining hardware and moves all the intelligence into the software layer, allowing users to eliminate dependency on proprietary, monolithic hardware.
In other words, SDDC allows customers to easily manage their IT infrastructure via the software stack in an automated and programmable fashion.
To address their ever-growing needs for agility, mega-scale vendors like Google, Amazon, and Facebook pioneered the software-defined model by separating the software layer from the underlying hardware. This paved the way for enterprises to follow suit and implement these tech giants’ best practices.
In an effort to bring the benefits of a software-defined model to enterprises, some visionaries ventured into the network space and designed software defined network (SDN) solutions. Meanwhile others – like Cohesity’s founder, Mohit Aron, the father of hyperconvergence – looked at ways to simplify storage infrastructure, with software defined storage (SDS).
Mohit first co-founded Nutanix, which dramatically simplified the primary storage environment. Later, when he founded Cohesity, he took on a bigger challenge: Addressing the 80% of all enterprise data that is traditionally stored in multiple secondary storage silos.
SDN and SDS: The parallels
With my networking background, and now venturing into the storage space, I cannot help but see a bunch of parallels between the SDN and SDS.
Historically, both network and the storage industries were dominated by legacy solutions that were engineered over a decade ago, and were not designed to handle today’s modern workloads and applications.
As monolithic solutions, also commonly known as the black boxes, these legacy network and storage solutions offered little-to-no choice and flexibility to users. As a result, IT organizations were forced to:
All this created bottlenecks and inefficient workflows. IT teams were mostly in a catchup mode, and were unable to focus on any true innovation. Fast forward to today’s mature technologies, and a software-defined model that delivers numerous benefits, including:
As outlined above, besides increasing choice and flexibility, an SDDC model increases operational efficiency for businesses, which directly impacts their top and bottom lines. In addition to technology operators and decision makers, executives across the organization will see a positive impact by adopting an SDDC architecture.