The emergence of cloud computing has changed the way data centers operate. Earlier, the data centers were more simplistic networking infrastructure relied on separate racks, targeted staffs and distinct management tools processing various job requirements. However, businesses being largely Internet-dependent, the dynamics of data center services are continuously evolving leading to the introduction of Hyperscale Data Center services.
What is the Hyperscale Data Center?
In computing terminologies, hyperscale computing refers to an architecture capable to expand and contract on the basis of the current business requirements. The seamless scalability helps the system to be robust and flexible with excellent network and storage capabilities.
There are mainly three key concepts organizations consider while building a hyperscale data center:
- First, the infrastructure and the distributed systems involved in the hyperscale architecture must be capable of supporting the data center operations.
- Next, the scalability for the computing task must ensure efficient performance based on the current requirements.
- And, last, the data center must be proficient enough to generate appropriate revenue.
Unlike the traditional data center architectures, the hyperscale computing model works simultaneously with thousands of individual servers that operate together through high-speed network aimed to drive maximum performance.
What are the accomplishments of hyperscale data centers?
A hyperscale data center is a feature-rich computing model offering the following benefits:
- Optimizing cooling efficiency: One of the most expensive operational features of data centers is to power the servers to command the climate control systems. A hyperscale structure are usually portioned to compartmentalize the high-intensity computing workloads, and channelize the cooling power over the servers which hosts these workloads.
- Allocating electrical power in discrete packages: As hyperscale data centers are occupied by multiple tenants, racks are allocated a set number of kilowatts from the main power supply. Hyperscale architecture assures the availability of the kilowatt supply as and when required.
- Balancing workloads across servers: Hyperscale data centers protect servers from overheating by balancing workloads among servers. Distribution of workloads directly correlates to temperature reduction.
Methods to Hyperscale Data Centers
Scalability being the major feature of these hyperscale data centers can be achieved as:
- Horizontal Scaling: Also, known as scaling out, this method increases the number of machines working within a particular network.
- Vertical Scaling: Goes by the name of scaling up, this method adds additional power to the machines already in service.
Both the scaling methodologies are aimed to improve uptime and offer load balancing for the end users.
Customizing Servers for Hyperscale
The hyperscale model offers a new server design built to fit the requirements of each data center including wider racks to accommodate more components. Using the basic elements, which are easily changeable for the customization, the servers are built. One server might contain multiple power supplies and various hard drives.
Hyperscale is a much wider concept that includes numerous servers operating together in a complex computing model. The hyperscale data centers are leveraging better, more secure resources and scalability to meet business-critical demands. Organizations that rely heavily upon huge business applications and cloud services are adapting these low-density and high-quality data center models to attain optimal growth and low-cost benefits.
If you are looking forward to such data center facilities for your organization, you can reach out to i2k2 Networks, a leading Tier-III Data Center service provider in India offering the built-in concept of N+1 redundancy in networks, cooling, power backup models, hardware, and infrastructure solutions.