Future specification outlook for data centers in 2018 and data centers in 2018

Future specification outlook for data centers in 2018 and data centers in 2018

Today, self-driving technology, augmented reality and virtual reality are driving new customer-centric approaches, and the application of the entire digital transformation-oriented business is increasingly widespread, this puts a huge burden on IT organizations and their systems and data centers.

The demand for data grows exponentially, making the IT environment more critical, hybrid, and scattered than ever before. Data management itself becomes increasingly complex. Therefore, data center operators need to build a large number of local infrastructure such as data centers, cloud computing, hosted data centers, and edge computing to provide support.

Although various new trends affecting the data center market have become widespread, the most influential is the IoT ). Iot creates a world that is more connected and closely connected than ever before, and greatly increases the volume of machine data. The increasing Internet of Things, the increasing digital traffic, and the increasing adoption of cloud computing-based applications have become key technical trends that shape the data center landscape.

Development of next-generation data centers

Nowadays, data centers are increasingly scattered, and data management requirements are more complex. In addition, budget reductions and fewer employees may pose greater management challenges to the Organization. According to a survey conducted by Gartner, the IT budget of 59% of organizations remains unchanged, and the budget of 16% of organizations is decreasing. In addition, the hybrid environment means that the IT team no longer has an overall view of a single internal data center. These problems include reduced visibility of Data Center assets, inability to compare performance, and no longer timely deployment or high deployment costs.

In the construction and development of the previous generation of data centers, data centers are usually deployed inside enterprises. Many data center managers use traditional data center infrastructure management (DCIM) to understand and provide IT ecosystem health status analysis. DCIM plays a very positive role in the way data centers are managed in the Data era. DCIM applications are of great value from optimization facilities to implementation of customer feedback. However, when the distributed ecosystem is more dispersed, the standard DCIM needs to be deployed in each separate data center used by the Organization, so that the management cost is too high and the response is no longer timely, and low efficiency.

According to a survey conducted by 451 Research, 77% of data centers are owned by enterprises themselves, and 15% are owned by host hosting, wholesale, and hosting data center operators, 8% is the infrastructure of cloud computing providers. Data center operators are switching to the advanced DCIM version. This is a cloud-first management strategy, called the data center management as a service (DMaaS), to provide simpler and smoother deployment, and improve the visibility of scattered data.

What is data center management as a service (DMaaS )?

IT departments of all sizes and industries have quickly realized that artificial intelligence, Iot, and hybrid cloud are the three most complex and practical emerging technologies in the future. The only way these technologies coexist is on a hybrid cloud platform. Data from Iot devices must be quickly analyzed and further processed, while artificial intelligence focuses on processing the processed data to make real-time, time-sensitive decisions. They are symbiotic, but must be delivered to balance the speed and performance required for fast decision-making.

Cloud computing-based DCIM (DMaaS) is a recently launched data center Monitoring Service. It was initially created to respond to the surge in Edge Data Centers and the demand for always-online connections. DMaaS provides around-the-clock Remote Data Center monitoring to immediately access and view multiple IT environments. Although its market is relatively new, this technology has been rapidly adopted because its open Iot method provides an overall view of the entire hybrid ecosystem.

Future data centers

DMaaS has the advantages of Fast deployment and low cost (free of charge at the beginning), which can be achieved through software downloads and smart phone applications. With just a few clicks, IT professionals can remotely monitor their data centers and obtain real-time analysis of their health status and performance. Although DCIM faces obstacles in Multi-location deployment, DMaaS is the opposite.

With DMaaS, organizations learn and monitor connected devices. This system provides better management information and insight for Data Center administrators. This maximizes protection for key devices through smart alarms and remote troubleshooting. At the same time, DMaaS can help improve the availability and efficiency of data centers and predict potential risks by using global benchmarks and analysis. DMaaS can remind you of potential problems, provide predictions, eliminate downtime, and provide real-time insights. The extensive knowledge gained from DMaaS will help data center managers better manage hybrid environments.

DCIM is still a good choice, especially for internally deployed data centers. Cloud computing-based innovations (such as DMaaS) Provide simpler and smoother deployment for distributed environments. Considering the limitation of IT budget, the rapidly changing technology, and the transformation from an enterprise data center to a hybrid model, the cloud computing-based DMaaS method is of great significance to the future of data center managers and data.