Bigtera Helps Enterprises With Their Digital IT Transformation by Providing Cost-Saving and High-Efficiency Solutions for the Toughest Infrastructure Challenges

10 Jul

The widening of the application scope for AI and Big Data has raised the IT infrastructure demand among enterprises. Besides cost savings and operational efficiency, enterprise clients are also focusing on installation, maintenance, and management when acquiring or upgrading IT infrastructure assets. It is under this context that has led to the development of the software-defined and hyper-converged architectures. These two next-generation IT architectures are grabbing the attention of businesses worldwide because their underlying technologies can produce solutions suitable for companies of various natures and sizes, ranging from small offices to enterprise-scale data centers.

Most of the next-generation IT infrastructure solutions on the market are said to be based on software-defined or hyper-converged architectures. But what are the differences between the two types of architecture? And what benefits can they bring to businesses? Leander Yu, VP of sales and marketing at Bigtera – a major provider of software-defined storage (SDS) solutions, succinctly explains the notable differences between the two architectures: “The software-defined architecture is the best option for enterprises with data centers or business units with private clouds because it offers a greater degree of flexibility demanded by this type of customers. As for the hyper-converged architecture, it is more suitable for small branch offices or schools because these organizations do not have a decent-sized IT support team and mainly want faster network connection.”

Bigtera relieves its clients from their worries by tackling the toughest challenges in IT infrastructure management

Yu points out that software-defined solutions still comprise the largest application segment in the IT infrastructure market, while the emergence of the hyper-converged architecture can be regarded as a realization of a sub-segment within this category. There are also different approaches to the implementation of software-defined infrastructure. Some solutions are built around servers, while others are based mainly on storage or networking equipment. Although the starting point is different for each approach, the ultimate goal is the same – to meet the operational requirements that are specific to the business. Presently, the storage-based approach is relatively more complicated to carry out because it involves encryption, management, and backup of stored data. These difficult challenges are the reason why Bigtera intentionally focuses on SDS. The company understands that solving data storage issues will remove much of the load on their clients during the building and maintenance processes. This, in turn, will result in greater efficiency and convenience later on.

▲ Bigtera’s VP Leander Yu explains the various factors that enterprises have to consider when choosing their IT infrastructure solutions.

With regard to the adoption of the software-defined infrastructure in specific industries, Yu says that storage solutions are segmented by the data volume of different applications. For example, small companies with low data volume applications may only need simple storage equipment instead of the more costly SDS solutions. However, companies are going to be handling increasing amounts of data as they grow, and buying additional storage equipment will no longer be cost-effective once they reach a certain scale. At this stage, adopting Bigtera’s solutions can reinforce existing advantages in operational efficiency and management cost. According to Yu’s assessment, mid-size and large enterprises working with data volumes that are 100TB or greater are the targets of Bigtera’s solutions.

Bigtera aims its solutions at media, telecom, and IC design industries as well as academia

When listing the industries that will benefit from Bigtera’s solutions, Yu particularly singles out the media sector due to the enormity of data generated from the creation and distribution of video content. The potential demand from media companies is further enhanced by the migration to high resolution video formats like 4K and 8K. The telecom industry is also a major target for Bigtera. Yu points to the rising demand for private and public clouds from the second-tier telecom operators in China and Southeast Asia. At the same time, Bigtera has already been providing infrastructure hosting for some of its clients in this industry. Therefore, a future trend that the company wants to develop is to offer SDS solutions as a value-added service on top of infrastructure hosting. Other sources of potential demand for Bigtera’s offerings include schools and IC design houses.

Finally, Yu emphasizes that even though Bigtera provides its SDS solutions under the outright purchase model rather than the infrastructure-as-a-service model, it is able to avoid the lock-in of equipment specifications and suppliers. Previously, outright purchase contracts dictate that clients must buy infrastructure components from the assigned suppliers. For example, a client who wants to replace the malfunctioned SSDs in its storage equipment cannot turn to alternative suppliers that may offer SSDs of the same specifications at lower prices. The client instead has to shell out more money to buy from the designated OEM. With respect to this problem, Bigtera has made adjustments to its business model so as to increase flexibility in replacement and upgrade options. Since the company sees things from the perspective of its clients, enterprises that adopt its solutions will be able to save a lot on maintenance over the long term. In this respect, Bigtera is most noticeably different from its competitors!


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