The most modern and best data centers with the optimal management of space and capacities, make the most of their physical space and at the same time make the most powerful processing power, storage, and implementation of the network possible using virtualization technology. Modern data centers have a flexible infrastructure and always try to keep up with the rapid growth of technologies to provide easy and hassle-free upgrades of services in the fastest possible time. In fact, these centers must be prepared to meet the required capacities and functions in the future.
A modern data center, with the correct implementation of the cooling system and the electricity distribution system, can significantly reduce costs and energy consumption. For example, the use of standards and solutions such as the Cold Aisle and the Hot Aisle significantly reduces energy consumption and doubles the efficiency of the cooling system.
The most modern datacenters follow instructions and processes that have been carefully and comprehensively documented. By establishing a NOC or Network Operations Center, these centers continuously monitor activities, security layers, and access levels, ensuring maximum quality and security of the service and monitoring its stability.
Modern data centers are highly robust and advanced, and their physical range is protected by state-of-the-art security systems. Biometric authentication systems such as fingerprint recognition and iris scanning, 24-hour surveillance using CCTV cameras, as well as precise control of accesses, entrances, and exits with the help of smart cards are among the most important of these.
Data Center Integration
There is no limit to the number of data centers used by an organization. For example, most modern organizations may use two or more data centers in different locations, which increases the flexibility and optimization of application performance. Reduces latency. Because a large amount of information is available to users. An organization with multiple data centers prefers to integrate its data centers, this is done in order to reduce the space occupied and also to minimize the costs of IT operations. Consistency and integration generally occur in the form of integration and acquisition, when the majority of organizations do not need the data centers of subordinate organizations.
Datacenter Colocation: Another solution that is important for large networks today is data center integration. Datacenter managers can pay for space and other hardware equipment to take advantage of the data center integration feature. Which had access to data center operators by renting server space and providing the required hardware. This is a very attractive option for organizations for which low costs related to setting up a data center are a priority.
Fortunately, today, integration trustees have expanded their clients’ authority to provide comprehensive management and access to the cloud space.
Data Center Classification
Contrary to popular belief, data centers are not categorized according to their physical size or style; what is clear is that small organizations must also have successful operations with an array of servers and storage. In contrast, large organizations that are faced with a large amount of processing volume on a daily basis, such as Amazon, Google, and Facebook, will have a vital need to have a proper data center with optimal infrastructure. In other cases, data centers can be set up as mobile containers, which are also considered as Data Center in a Box and have the ability to be moved from place to place as needed. However, the data center classification Can be defined by different levels of reliability or flexibility. In 2005, the American National Standards Institute (ANSI) and the Telecommunications Industry Association (TIA) released the ANSI / TIA-942 Standard, a standard for telecommunications infrastructure standards for data centers. Defined data center design and implementation. Data centers in higher categories have more flexibility, security, and reliability than previous categories. For example, a Category 4 data center offers more infrastructure and more security than a Category 1 data center.
Architecture and data center design
Although it is possible to use almost any suitable space as a “data-center”, the design and implementation of a data center need more careful consideration.
Beyond the basic cost and tax issues, the location for the data center is based on many criteria, including geographical location, climate stability and seismicity, access to roads and airports, access to energy and telecommunications, and Even the prevailing political environment; Is selected. After securing the site, the data center architecture can be designed according to the mechanical and electrical infrastructure, as well as the combination of IT equipment.
Energy efficiency and consumption
The Data Center recognizes and designs the importance of energy efficiency. A typical data center may require only a few kilowatts of power, but large-scale installation can require tens of megawatts or more of power. Today, a data center called Green Data Center is being developed and developed to minimize environmental impact through the use of low-emission building materials, catalyst converters, and alternative energy technology.
Organizations often measure data center energy efficiency through a measure called energy efficiency (PUE), which measures the ratio of total data center input energy to the energy used by IT equipment. However, the advent of virtualization has allowed the use of IT equipment to be much more productive, resulting in much higher productivity, lower energy consumption, and reduced energy costs. Parameters such as PUE are no longer considered for energy efficiency goals. But organizations may still use the PUE parameter to have a comprehensive analysis of the energy and cooling systems.
Management and monitoring of data center infrastructure
Modern data centers make extensive use of monitoring and management software. These software act as management tools for data center infrastructures and provide facilities to IT managers, including the following:
- Allow remote access to monitor data center facilities and equipment
- Measuring data center performance
- Timely detection of data center failure and implementation of a wide array of remedial measures
Data and Cloud Centers
Data centers are increasingly running personal Cloud software. Which relies on virtualization to add a level of automation, User Self-Service, and Billing / Chargeback to data center management. The goal is to allow each of these users to supply the volume of work and computing resources on demand without the intervention of IT managers.
It is also increasingly possible for data centers to connect with public cloud providers. Platforms such as Microsoft Azure emphasize the hybrid use of data centers with Azure or other public cloud resources. It should not be forgotten that the result of these measures is not the destruction of data centers, but rather, the creation of a dynamic environment that provides organizations with the ability to mass-produce their data and processes locally or locally. Run a cloud or move from one cloud to another.