Types & Components of data centers

A data center is a physical facility that provides computing power to run applications, storage capacity to process data, and networking to connect users to the resources needed to do their jobs.

What are the components of a data center?

All data centers share the underlying infrastructure to enable reliable and consistent operations. Key components include:

Power:

Data centers must have clean, reliable power to keep equipment running 24 hours a day. The data center will have multiple power circuits for redundancy and high availability, providing backup with uninterruptible power supplies (UPS) and diesel generators.

Cooling:

Electronics generate heat that, if not reduced, can damage equipment. Data centers are designed to remove heat while providing cooling air to eliminate equipment overheating. This complex arrangement between air pressure and water exchange even includes the installation of a cooling area where the air flows and where the heat is collected.

Network:

In a data center, devices are connected together so that they can communicate with each other. And network service providers provide connectivity to the outside world, making it easy to access business applications from anywhere.

Security:

A dedicated data center provides greater physical security than can be achieved when computer hardware is stored in a wiring closet or other location not designed for security from the start. In a purpose-built data center, equipment and storage are hidden behind locked doors and housed in cabinets with regulations that ensure that only authorized users have access to the equipment.

5 common data center types

No two data centers are the same in terms of design or applications and the data they support in their network, computing, and storage infrastructure. Let’s take a look at the most common types of data centers and how to use them.

Corporate data center

An enterprise data center is a private data center that supports an organization. These types of data centers are best suited for businesses that have special network needs or businesses that do enough business to get economic benefits. Enterprise data centers are designed to match the organization’s unique applications and business processes.

You will find these data centers on the same site as the organization (on-site) or off-site and the site is chosen for the connectivity, power, and security it provides. For example, A company may choose to separate business operations from data center operations during a disaster. Or, as another example, it can build its data center in a cold climate to reduce energy consumption.

In both cases, the internal IT department controls the white space (IT equipment and infrastructure). Gray space (hardware and back-end data center infrastructure) can be outsourced or managed by in-house resource management teams and IT liaisons.

Multi-Dwelling Data Center/Regional Department Data Center

Multi-tenant data centers (also known as colocation data centers) provide data center space for companies that want to keep their computing hardware and servers on-site. These companies provide the appropriate data center infrastructure (power, cooling, storage, and network infrastructure) needed to do this. Companies that do not have space for their own corporate data center or an IT team involved in managing it often choose data colocation.

This allows them to move money and human resources to other initiatives. An organization can rent the space it needs to store its data, and as its needs change, it can scale up or down quickly. All types of businesses benefit from multi-tenant data centers, from healthcare and banking to manufacturing and government agencies.

The demand placed on these types of resources is strong. Customers expect constant availability, high bandwidth capacity, and the ability to access data quickly at any time. To cope with these increasing pressures, multi-tenant data centers are renewing their hardware and technology more frequently than enterprise data centers.

Hyperscale data center

Hyperscale data centers are designed to support hyperscale storage infrastructure. According to Synergy Research Group, there are only 700 big data companies, but that is twice as many as five years ago. Although this may be a small percentage compared to the number of data centers in the world (there are more than 7 million data centers worldwide), the big data center is on the rise.

Like enterprise data centers, hyperscale data centers are owned and operated by the businesses they support, but on a larger scale for cloud platforms and big data storage. A hyperscale data center has at least 5,000 servers, 500 cabinets, and 10,000 square feet of floor space.

Edge / Micro Data Center

The demand for fast connectivity, the expansion of IoT, and the need for analysis and automation are driving the growth of front-end solutions as computers are closer to real data. These types of data centers are small and close to the people they serve and manage data processing, analysis, and processing, enabling low communication with smart devices. By organizing data services as end-users as possible, the data hub helps organizations reduce communication time and improve the customer experience. As new technologies continue to change the way we live and work – from robots, telemedicine, and 5G to autonomous cars, wearable health technology, and smart grids – we will continue to – see more of these types of data centers.

Container/Modular

A container data center is a module or shipping container that contains remote, central data storage components: servers, storage, network equipment, UPS, generators, air conditioners, etc.

The concept of module container/data center was first introduced only about 15 years ago, and it is now used in constant time input. You will often find modular data centers at construction sites or in disaster areas (to support alternative care centers during epidemics, for example).

In a sustainable environment, they are deployed to free up space in the building or to allow an organization to move quickly to adopt new technologies, such as adding IT infrastructure to educational institutions to support digital classrooms.

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