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  • iMasterNCE-FabricInsight

    Harness the power of Artificial Intelligence (AI) to proactively identify risks on networks before they impact services.


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iMaster NCE-FabricInsight

Huawei iMaster NCE-FabricInsight

Huawei iMaster NCE-FabricInsight is an intelligent analysis platform oriented to data center networks. Based on big data analysis technologies, it provides users with ubiquitous network application analysis and visualized presentation to eliminate the boundary between applications and networks.

iMaster NCE-FabricInsight collects massive real service packets through the Telemetry, displays network quality in real time, helping customers quickly identify fault and proactively identify risks before services are affected.

Network-wide health evaluation

• Uses Telemetry to collect network-wide data in real time, implementing 24/7 proactive awareness of network health
• Intelligently predicts traffic and capacity risks, and identifies 90% of potential risks in advance

Quick fault locating

• Builds the network knowledge graph to identify more than 75 types of typical faults within 1 minute, locate them within 3 minutes, and rectify them within 5 minutes
• Analyzes network-wide flows based on TCP/UDP and associates applications with networks, implementing fault demarcation and location within minutes

Business Protection

Comprehensive service assurance

• Automatically identifies configuration and entry changes, improving efficiency by 10 times
• Performs automatic network intent verification on the data plane, comprehensively identifying service interconnection risks


Feature Description
System monitoring Supports system monitoring, license management, and multi-vendor resource management.
Telemetry-powered visibility Monitors metrics such as device, board, chip, interface, queue, optical link, and RoCE within seconds and performs anomaly analysis.
Network change analysis Compares and analyzes network changes from multiple dimensions, including device configurations, ND entries, ARP entries, and RIB entries.
Exception log analysis Visualizes network-wide log events and intelligently identifies log changes and occasional exceptions.
IP 360 management Supports analysis on VM distribution, switch IP address distribution, historical access relationships, and snapshot comparison.
Feature Description
Network health evaluation Evaluates network health from five layers: device, network, protocol, overlay, and service.
Exports evaluation reports in real time or periodically.
"1-3-5" troubleshooting Detects more than 75 types of typical faults in minutes, automatically locates their root causes, and provides rectification suggestions.
Key service assurance Supports intent verification on the data plane to automatically verify whether the connectivity of tens of thousands of services and underlay interconnection meet expectations.
Feature Description
TCP service flow troubleshooting Provides multi-dimensional statistics views on top N devices based on hosts, applications, sessions, and fabrics.
Displays statistics on abnormal TCP events, traffic, and delay and shows the topology path through which the traffic passes.
Supports fault reasoning for abnormal flows and one-click root cause locating.
Network traffic analysis Provides top N network traffic statistics views from various aspects such as the device, interface, protocol, session, host, and application.
Edge intelligence Supports full-packet analysis on specified TCP/UDP service flows and proactively identifies information such as packet loss and delay during flow interaction.
Supports network quality analysis of multicast services, including packet loss and delay measurement, and performs quick fault locating.



Huawei iMaster NCE-FabricInsight Brief Product Brochure


Huawei iMaster NCE-FabricInsight Data Sheet


Implement Network O&M with CloudFabric 3.0 Hyper-Convergence DCN


Huawei iMaster NCE-FabricInsight V100R020C10 Technical Presentation - Standard Solution


Huawei & Netis Intelligent O&M Solution


Huawei and Netis Implement Minute-Level Fault Location for Poor QoE

Technical Support