成都网丁科技有限公司

USER PAIN POINTS

Low Satisfaction

As enterprise networks bear an increasing number of services and the performance requirements for networks continue to escalate, although the robustness of the network is improving, customer satisfaction with network quality is declining. Complaints about the network not functioning well occur from time to time.

Troubleshooting is difficult.

Traditional network management systems can only detect whether the network is connected or disconnected, and are powerless against degradation issues. Troubleshooting is time-consuming and labor-intensive, with no ability to pinpoint the location or responsibility, often leading to buck-passing and disputes.

Passive Response

Lacking early warning capabilities, operations and maintenance can only passively respond to user complaints, unable to take proactive measures to eliminate potential faults.

Evaluation Difficulties

There is a lack of scientific assessment methods for the quality of network operations, making it impossible to determine whether the network is performing well or not. Particularly for the large number of leased dedicated lines, despite the significant investment in their purchase, the quality remains uncertain.

SOLUTION

Full-Coverage End-to-End Monitoring

Built on active simulation probing technology as its core and integrating a variety of detection techniques, the solution comprehensively covers Layer 2/Layer 3 networks, backup links, dynamic address terminals, Wi-Fi, 5G networks, and carrier leased lines. For the first time in the industry, it achieves end-to-end monitoring of network connectivity, equipping operations teams with a holistic view of network connections.

The product is easy to deploy, offering full network visibility with a single point of access.

AI-powered diagnosis

By employing AI modeling technology and machine learning algorithms, and leveraging training data from hundreds of millions of user network probes, the system achieves automatic detection and precise localization of network degradation faults, eliminating the need for manual intervention.

Leveraging big data spatial localization technology, the system quickly identifies the root cause of network faults, enabling maintenance personnel to directly access the core of the issue.

It can effectively detect and locate even subtle network degradation issues, enabling operations teams to identify suboptimal links at an early stage and take proactive corrective measures to eliminate potential faults.

PRODUCT VALUE

Connection-Oriented Management Perspective

Manage the network from the perspective of business connectivity and actual user experience. Move away from the traditional network element monitoring model and achieve comprehensive visualization of business connections across the entire network.

Automated pre-inspection and early warning to reduce network risks.

It features automated pre-inspection and early warning capabilities, enabling the detection of subtle network degradation, timely identification of suboptimal network links, and precise localization of poor-quality segments. This supports maintenance personnel in taking proactive measures to promptly eliminate potential faults, effectively reducing user complaints.

Precise localization, boundary identification, and responsibility assignment for degraded faults.

By leveraging intelligent diagnostic technology, network degradation faults are detected in real time, fault points are precisely located, and both fault identification and resolution efficiency are greatly enhanced. The clear and accurate definition of boundaries and responsibilities prevents blame shifting and disputes between network teams, IT, and service providers.

Automated management to reduce costs and improve efficiency.

With a single system, comprehensive monitoring of the enterprise network can be achieved, covering major monitoring scenarios and enabling fully automated closed-loop management, significantly reducing operational costs and improving maintenance efficiency.

Scientifically evaluate network quality to enhance network management capabilities.

By leveraging scientific quantification and visual analysis of network quality, it empowers operations and maintenance teams to gain a comprehensive understanding of network performance. It facilitates digital evaluation and assessment of telecom carrier leased line quality, improving the cost-effectiveness of leased line services and driving cost reduction and efficiency improvement.