Covid-19 outbreak had made digital information a crucial need in every organisation. Definitely, the implementation had helped in boosting organisation’s resiliency in adapting the damaging impacts of Covid-19. Significantly, various adoptions of technologies and practice are as well brought into the spotlight in order to accelerate digital transformation and ensure its effectiveness. These adoptions, however, cause rapid increase in the volume of data, leading to the need for edge computing and hyperscale data center hence, the emergence of hyperscale edge computing.
Distributed workforce is among those huge outcome of digital transformation which lead to the flooding amount of data being generated from the employees’ sensors and IoT devices operated at various locations in real time. Furthermore, the number of data will rapidly increase as organisation continue to adopt more advanced technologies in enhancing the growth of their businesses. Consequently, organisations can no longer rely on the traditional computing in handling the abundance amount of data due to bandwidth limitations, latency issues and unpredictable network disruptions.
Organisations had become substantially internet-dependent as they move their IT infrastructure to the cloud. With this transition, their data centers experience increase in the utilisation of their applications that work together through the web and cloud services. Significantly, organisations require more reliable data center as they need to be able to support data center operations, ensure efficient performance based according to demand and give appropriate revenue.
The definition of edge computing is expanding. With high internet-dependent and virtual data flood becoming the stumbling blocks needed to be removed as well as the development of more sophisticated services and storage demand, the future calls for hyperscale edge computing, an evolve data center that is scalable, highly efficient in performance, provides lowest latency and smarter data processing.
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