What is Hyperscale?

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One of the most common issues that affects large online operations is that they cannot scale properly to respond to increased demand. Slow loading websites, crashes, errors, all can result from an inability to scale. This is where the concept of hyperscale enters the picture. Hyperscale refers to the ability of a software system to scale appropriately in response to increased demand. In this article we will explore the concept of hyperscale and provide some examples of hyperscaling commonly in use today. 

Hyperscale: Reacting to Demand

As mentioned previously, hyperscale is a concept that refers to the ability of a software system to scale in response to increased system demand. In order to scale appropriately, a system with hyperscaling can seamlessly provision new system resources to a larger computer network. These provisioned elements can include storage, compute, memory, and networking resources that are added to the system for use. If configured properly, the provisioning of these resources should be appropriate for the task at hand. For example, increasing storage resources while the CPU resources are overloaded will do nothing to alleviate the problem, while allocating additional compute resources will.   

Hyperscale in Action

Hyperscaling is a fundamental building block of robust, scalable data infrastructures. Without hyperscaling technology, it is unlikely that distributed sites such as Google, Facebook, Amazon, and Twitter would be able to function. All of these companies use hyperscaling in their data centers and networks to ensure that sufficient system resources are available at all times for mission-critical applications. In essence, hyperscaling is all around us, working around the clock to keep the modern internet alive and well. Companies such as Intel and AMD provide hyperscaling kits which allow data center technicians to enable hyperscaling technology within their data center networks. 

Now that you have an understanding of hyperscale hopefully you can better determine which data center solution is right for you.

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