Hyperscale, or hyperscaling, is the ability of a technological architecture or system to scale as requests for a single business process increase. Hyperscalers are usually a large network of data centers around the world that strive for greater coverage and are used for large—scale computing.
The hyperscale infrastructure is designed for horizontal scaling — splitting one large system into several structural components or creating additional databases. Horizontal scaling simplifies database management on servers, as well as speeds up this process.
What tasks does the hyperscale solve?
Horizontal scaling increases availability, performance, and fault tolerance. This feature is important when creating reliable infrastructure systems that require access to big data and cloud computing.
Hyperscalers often act as providers of cloud computing and services, which are especially needed by companies working with large and ever-growing amounts of computing and data. Unlike conventional computing systems, hyperscale uses simplified designs, which allows you to increase software requirements and save business. However, this architecture is not easy to customize. Hyperscale is not the most flexible system for customizing functional components and the user interface.
Advantages of the hyperscale
- Hyperscale data centers allow you to solve the problems associated with storing ever-growing amounts of data on cloud servers.
- Reduction of data processing costs due to special cooling technology.
- Balanced load on the server, which avoids problems associated with overheating.
- The distribution of electricity in a given number of kilowatts, which makes the rental conditions more flexible.
- Productive operation of the hyperscale architecture, even with large-scale use.
- The ability of the technological architecture to improve and scale as demand for the system increases.