Where will the enterprise data center be in 20 years?

Where will the enterprise data center be in 20 years?

Compared with other industries, the 20-year technological development in the data center industry seems to be as long as that in 100. In just one year, the operating status and landscape of an enterprise may change. With the increase of data indexes and the promotion of business development, considering the scale of enterprises and the functional level of their operations, data centers need constantly changing and evolving technologies.

Can an enterprise's data center strategy survive for 10 or even 20 years? Will the development and growth of an enterprise be as good as the expectations of major stakeholders? In this case, an enterprise may need multiple data centers with superior geographical locations to meet enterprises' needs. On the other hand, the company's chief financial officer may have a more conservative estimate of this and is responsible for the actual cost of the data center. In addition to the size, enterprises need to consider the situation that their data centers may be outdated for 5, 10, 15, or 20 years.

Peter Turner, executive director of the data center Certification Institute UptimeInstitute, said the data center has no fixed life cycle. "In data center design, a flexible data center really has no expected life expectancy," Turner said ." "In the data center life cycle, components often need to be replaced, just as people need to replace tires on cars," Turner said ." Turner further pointed out that "UPS power supplies and chillers need to be replaced. To do this, enterprises must have data center infrastructure ."

Software-defined data center platform

Iot and cloud computing will undoubtedly have a huge impact on the future data centers. We will see this in each layer of the data center, from the operator to the data center facility, and continue to the data layer or business layer.

In the future, we will see close cooperation and coupling between the logic layers of the data center. Therefore, instead of every layer (namely, operators, devices, hardware, and software) working on isolated islands, people will see more integration and ultimately need more coordination and automation.

Network Optimization

Data Centers are cloud computing (IaaS, PaaS, and SaaS) with physical locations ). There is currently a technical gap that needs to be addressed to help support future business needs.

The challenge is that the network is like a chain. The Weakest link may cause performance problems, even in the finest network. In the future, networks will need to use multiple operators to provide network redundancy.

The most likely stretched network layer will be speed and security, and will provide low-latency high-speed network applications for optimization. These technologies will become the mainstream.

Automation is the key

Many automation tasks we now see in the data center will be automated. This is a software-defined data center model. However, we will see the types of automation in the data center, more is the automation of business-related tasks and activities. The processing engine will continue to become more intelligent, and its intelligence will be able to process the complete decision tree, almost like the artificial intelligence of a variety of data centers.

The automated process engine, combined with new network optimization, will integrate invisible redundancy and Failover capabilities, which will provide more and more flexibility ,, enterprises can implement their own "N + 1" data center "edge" strategy.

Considering the location, application developers are using a joint design model to build applications that are affecting the design and selection of data centers. For example, if you select a few data centers to store a large amount of data, application providers will move their data to the "edge" of their applications (they can provide customers with local services, to attract more enterprises and consumers in more markets, so as to be closer to consumers, to reduce latency and to execute higher data transmission rates.

Enterprises need partners with reliability and elasticity. Their data center infrastructure in multiple fields in various regions will help to maintain data security and correct processing.

Future Planning: data center as a service

Another way to plan a data center is to consider using a data center as a service. Here, enterprises do not have to invest money to purchase land skins and real estate to build data centers. They only need to cooperate with host hosting providers to lease and operate data centers, which can provide enterprises with more flexibility, to support future growth.

A data center as a Service also provides a large amount of additional value. enterprises can easily intervene through internal services and partner services. In addition, the leasing data center will have a diversified and rich environment, and operators will provide more options, such as data center facilities and ecosystems. Today, the adoption of more cloud computing, cloud computing, and internal deployment of data center hybrid applications will depend on a dual-carrier network strategy.

Conclusion

Enterprises have two options when considering long-term data center policies. First, enterprises can predict their needs through investigation and research, and build their own data centers while undertaking huge capital expenditures.

The second option is to consider cooperating with host hosting service providers. Host hosting service providers will build and innovate data centers, provide locations, services and products, and optimize them, and prepares for expansion for the enterprise's business growth. Host hosting service providers are responsible for upgrading expensive devices as needed and ensuring that the development of data centers is oriented towards the future.