Is HCI Advantageous for Efficient Data Management?

According to Dell Technologies, to overcome the technology glitches of legacy infrastructure and for efficient data management, more businesses are opting for Hyperconverged Infrastructure (HCI). It allows organisations to breakdown the traditional infrastructure by intrinsically integrating compute, storage, networking, virtualisation, management and data services. Along with this, it also reduces IT administrative tasks, and provide businesses the ability to scale at their own pace, reduce operating costs and provide flexibility as the foundation for multi-cloud approaches.

HCI systems bring value to businesses by optimizing efficiency and reducing operational costs. The sooner organisations take a hard look and re-evaluate their datacentres, the sooner they can stand to benefit from this value; ultimately allowing them to do more, for less. Previously, businesses considering Hyperconverged Infrastructure solutions were the ones who were implementing new workload requirements. However, today, almost every organization which is revisiting their IT strategy is looking to invest in Hyperconverged Infrastructure. Adopting HCI will enable these organizations to reduce operational cost, accelerate deployment and improve operational efficiencies. Not only this, but HCI can also improve an organization’s ability to scale and reduce its infrastructural tasks.

In the wake of unprecedented data growth, organisations are rapidly becoming aware of the benefits of multi-cloud and are understanding the value that data management and data analytics can bring. As per Digital Transformation Index 2020, about 77% of organisations in India are investing in data management and analytics. Hence, as organisations arm their on-premises clouds to support and optimise IT infrastructures for multiple cloud, they are looking for solutions that provide optimal performance, flexibility, and simplification along with management consolidations - all of which HCI offers. We expect to see more organisations turning to Hyperconverged Infrastructure as operational hubs for multi-cloud approaches, prompted by the need to ensure that data and workloads are stored and managed in environments to suit the evolving business needs.

Organisations are pacing up the adoption of new-age technologies like 5G, IoT and AI which is spurring data growth at an incredible rate and changing the data game in terms of speed and accessibility. This growth, however, comes at a cost as it is expensive and cumbersome to bring the entirety of this data on-premises. Organisations should instead adopt a “hub and spoke approach,” where they take in data at Edge locations, glean insights and take only those insights back to the core hub to act on them. Since HCI is easily scalable, it enables users to put the appropriate amount of compute power analysis at those Edge locations.

Another step we see organisations taking to manage their operations and the data surge is to look strategically at how their applications and workloads are being developed. A key facilitator for this is the emergence of Kubernetes as the ubiquitous infrastructure feature for container management and orchestration. Customers can determine whether to transform them into cloud native workloads either to operate in a more agile manner, or in a DevOps model. Hyperconverged Infrastructure is the preferred deployment platform for containers and a cloud native approach being enabled to support not only existing workloads, but also offers a Kubernetes dial tone anywhere, whether at the Edge, core or cloud.

The rate at which data is being generated and collected will serve as one of the primary catalysts to transform IT infrastructure in this data era. To effectively ride the data waves, organizations must modernize their datacentres and embrace an Hyperconverged Infrastructure delivery model. To take advantage of this innovation, organisations will be better equipped to navigate the next era of digital transformation.

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