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It can be said that the data center is the lifeblood of an IT enterprise, and its construction and maintenance costs will not be too low. In order to ensure that the data center will not have unexpected conditions, it is very important to build an efficient and stable data center ecosystem, including various auxiliary equipment, computer room monitoring system, host server and personnel configuration.

Investment in infrastructure is expensive, so it makes sense for any organization to seek to maximize output from its resources, especially when business requirements require an "always online" approach to data accessibility. Data design strategies can have a significant impact, resulting in cost savings, increased scalability, and reduced environmental impact.

With this in mind, here are six key considerations for all enterprises that want to build, operate, and maintain efficient data centers:

1. Develop a solid power and cooling strategy

Most data center business outages and runaway costs may be directly related to the power and cooling used in the data center. If the cooling effect is not good, the power required to cool the data center can match or exceed the power used to run the IT device itself.

To solve this problem, organizations should control airflow and cooling through control and active airflow management, providing modular power and cooling that expands as demand increases. They should then implement real-time and trend reporting to ensure that they keep costs low and avoid any potential problems before they arise.

2. Implement workflow and measurable and repeatable processes

The data center can be seen as an ecosystem that requires the deployment, update, and end-of-life of assets to keep the environment healthy. One of the key design best practices is to ensure that enterprises use workflows and repeatable business processes to ensure that their resources are consistently and timely maintained and that all operations are transparent, traceable, and auditable.

3. Automate everything

A good data center design should plan to automate as much of the operational functions performed by employees as possible. This helps ensure that infrastructure is deployed consistently in a single data center or multiple data centers, while also helping to reduce costs and the time required for staff maintenance costs. Automation should take place in multiple stages, from continuous discovery and audit to workflow and cross-system integration.

4. Give priority to analysis and reporting

From the moment an enterprise designs its data center, it has been being redesigned. To keep up with these changes and ensure that space, power, cooling, and network are always available, companies need strong analysis and reporting to keep employees and management informed of current and future capacity requirements. In this way, when someone in the enterprise needs resources most, the enterprise can avoid running out of resources.

5. Always seek integration

Many other groups and systems in the organization can take advantage of the information in the data center. Therefore, when designing data centers and systems, always keep in mind and plan accordingly to integrate solutions that can be integrated with technologies in other business areas. For example, building management systems (BMS), IT systems management (ITSM), and virtualization management solutions such as VMware and Nutanix. In this way, the enterprise's data center system can synchronize information with other groups, so that data center employees can perform their work most effectively, and the whole business runs with high speed and precision.

6. Is DCIM the solution to all problems?

Given all these factors, it is clear that spreadsheets and other manual methods cannot keep up with changes in modern data centers. To perform accurate capacity planning and maintain accurate centralized records to optimize and maintain its design, organizations should deploy a comprehensive modern data center infrastructure management (DCIM) solution to help solve all of these issues.

The system not only provides data center visualization, powerful reporting and analysis capabilities, but also becomes the core source of information on changes made in the data center. DCIM solutions are already ubiquitous in data centers and hybrid computing infrastructures and are considered necessary with a complex and rapidly changing technology footprint.

In today's business environment, it is difficult for enterprises to tolerate power outages and data outages, especially as the development of data centers is consistent with the proliferation of connected devices and the broader digital transformation. Considering the above, both cloud computing service providers and independent enterprises can enjoy the benefits of efficient data.

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