It all began when technology expands the definition of the utilisation of IoT devices. IoT devices that become more connected to the internet, either to receive from or send back data to the cloud leads to the generation of ginormous amount of data, thus significantly set about the need to shift to a more reliable
Hyperscale edge computing as the future is expectable. There are many catalysts that lead us towards hyperscale edge computing. The main reason is the need for a capable implementation that can improve the efficiency and scalability of data center to accommodate with the amount of data flooding into it. Undeniably, the amount of data is
The rise of hyperscale data centers begun as there is increasing need for more data capacity to ensure communication, commerce and collaboration running. Hyperscale data centers allows businesses to accommodate with the growing demand of cloud and its services by providing flexible and scalable cloud infrastructure. Subsequently, as demands for cloud services such as internet
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,
Recently, edge computing had begun to include local hyperscale data centers. With this evolution, edge computing has now bring forth a new definition; hyperscale edge computing. Undeniably, hyperscale edge computing and the future is emerging. As hyperscale edge computing has no distinct definition, let’s start by understanding the foundation of this computing evolution through the