Network-oriented, NPMD achieves 80% of functions with 20% of investment

Network-oriented, NPMD achieves 80% of functions with 20% of investment

An organization once worked with MIT to interview more than 1,000 CEOs. The results showed that 90% of executives believed that their companies were being disrupted and reshaped by digital business models, and 70% of them believed that they did not have the appropriate technology or operational structure to cope with the changes. This is actually a common challenge faced by many companies around the world under the rapid changes in technology and consumer entities. Digital transformation has become the first choice for most companies to solve the problem.

It is precisely because of this opportunity that domestic IT operation and maintenance management has been able to develop rapidly, and has now shown a trend of rich product applications and comprehensive market coverage. Among the various monitoring tools for comprehensive IT operation and maintenance management, NPM (Network Performance Monitoring) network performance monitoring is the basis for understanding network performance and the hub for connecting users and codes. I believe that many companies, especially those in the digital transformation stage, are no strangers to it.

"Check the network problem first when a problem occurs" has become a tacit consensus among many enterprises when facing operational failures, poor operations, and customer complaints. Enterprises are increasingly in need of NPM to support their business. Gartner has also repeatedly pointed out that successful digital business strategy planning is more dependent on network performance than ever before.

It is true that a well-performing and smoothly running network is crucial for digital business projects. However, with the surge in the number, complexity and diversification of IDC software and hardware, and the emergence of public cloud services and private cloud services, traditional means and tools have become difficult to meet the requirements of enterprises for network performance detection and visualization in complex environments.

Under traditional monitoring methods, whether it is cloud network monitoring or business monitoring, when facing complex problems and locating them, it usually takes 30-60 minutes from the development of the fault to the investigation of logs, expert diagnosis, and finally the analysis of the business to form a report. For the business side, this response speed is fatal.

In the face of the above problems, the new NPMD product launched by Borei Data at the Beijing stop of the "Service Accessible, First to Reach—Data Link DNA 2021 Strategic Upgrade Release Tour" leads the industry with its disruptive efficiency.

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Borui Data Architect Xu Chi

"In terms of efficiency, relying on the AI ​​engine of Borei Data, the NPMD product can help operation and maintenance personnel perceive and analyze faults faster through a variety of intelligent algorithms built into its own system. It can locate problems dozens of times more efficiently than traditional tools, while enabling operation and maintenance personnel to have the capabilities of data prediction and change analysis. In terms of reach, Borei Data NPMD can cover multi-cloud hybrid architectures, and will monitor the interactions under private cloud containers and the 'monitoring blind spots' of communications in public clouds."

"For NPM, we spend 20% of the investment to achieve 80% of the functions, which shows that its overall input-output ratio is very high." This is the real evaluation from NPMD customers of Borei Data. How did it get such a high evaluation?

While explaining the product to us, Xu Chi also brought us real service cases. Borei Data once served a large financial technology company. This large financial technology company has many IDC computer rooms and overseas service nodes, a typical hybrid cloud architecture, and various complex links such as public links and private network links. The internal operation and maintenance team of the enterprise may manage dozens of public network links, covering 10-20 data centers. For abnormalities, the only way to solve the operation and maintenance problems is through the "manual firefighting" mode of IT operation and maintenance personnel "squatting" and abnormalities.

Through Reesii NPMD, Borei Data helps enterprises visualize the traffic interactions of the entire network, allowing enterprises to see all the information flow interactions around the world in one picture. When troubleshooting, the performance indicators, key exits, and links of these key devices are clear at a glance. Through the previously built-in algorithm, abnormalities can be accurately located immediately, relieving the pressure on operation and maintenance personnel, improving overall operation and maintenance efficiency, and helping business projects run.

Borei Data's NPMD product is naturally equipped with overall related data from links, devices to applications and businesses, but it can only be one of the "important guests" in the full-link IT operation and maintenance solution proposed by Borei Data. The full-link IT operation and maintenance solution is the "service-accessible data chain DNA". It revolutionizes the user-centered "service-accessible" IT operation and maintenance indicator system, breaking through the "application availability" stage of the past nearly three decades.

Wu Jingtao, COO of Borui Data, pointed out at the exhibition that the so-called DNA is DEM (digital experience monitoring) + NPM (network performance management) + APM (application performance management). Through these three technologies, the application, experience management and optimization of the entire process from code to user can be realized. It is a full business chain product system that runs through front-end applications, mid-end networks, and back-end servers. It is believed that the "service-accessible data chain DNA" with such a powerful NPMD as the central nervous system can truly become an accelerator for the digital transformation of enterprises.

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