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FabricInsight — Data Center Network Analyzer

FabricInsight is an intelligent analysis platform for data centers: based on big data analysis technologies, it provides ubiquitous network application analysis and visualization functions to streamline applications and networks.

FabricInsight collects massive real service packets through Telemetry, provides correlation analysis between internal applications and networks of the data center, and displays the application map and network quality in real time, helping customers quickly identify faults and proactively identify risks before services are affected.

Based on Huawei's best IT practices, FabricInsight meets the intelligent Operations and Maintenance (O&M) requirements of financial and large enterprise data centers.

  • Huawei
    troubleshooting

    Second-Level Fault Identification

    Telemetry enables second-level display of service flows and network-wide Key Performance Indicators (KPIs). Status of network health is visualized through correlation analysis of services, network paths, and network devices.

  • Huawei
    Data Search

    AI + Knowledge Inference, Minute-Level Fault Location

    Supports minute-level root cause diagnosis for 75 types of faults, through knowledge inference engine training using Machine Learning (ML), millisecond-level detection of historical microbursts, and accurate fault playback.

  • Huawei
    Threat Detection

    AI-based Predictive Maintenance

    Dynamic baseline construction based on ML/AI and identification of issues at the device, queue, and port levels. Fault rate reduced by up to 68% with proactive prediction of traffic and optical module faults.

Huawei

Specifications

FabricInsight comes in two different packages: intelligent network analysis basic package and intelligent flow analysis value-added package, with different functions and features.


Parameters Model

The following table describes Telemetry network analysis functions in the basic package.
Network Status Visualization
  • Supports visualization and multi-dimensional analysis of the top N statistics of Fabric data.
  • Displays the Fabric network topology.
  • Supports visualization of network configuration changes.
  • Displays device abnormality logs and trends.
  • Enables users to view detailed information about packet loss events.
Network Abnormality Detection
  • Displays the KPI trends of devices, boards, chips, interfaces, queues, and optical links in a chart.
  • Displays dynamic baselines and detects KPI abnormalities of devices, boards, and interfaces.
  • Supports millisecond-level queue congestion and packet loss detection.
Predictive Maintenance
  • Supports optical link health status prediction.
  • Displays the forecast results of the RX and TX bandwidth utilization of interfaces for the next 12 weeks.
Network Service Issue Detection and Analysis
  • Supports detection and analysis of TCAM resource insufficiency, and insufficiency or abrupt changes of FIB entry resources, ARP entry resources, and MAC entry resources.

The following table describes functions provided by the value-added package of intelligent flow analysis.
Application and Network Association Analysis
  • Analyzes application health status.
  • Analyzes interactions between applications and displays application interaction relationships in the topology.
  • Supports intra-application interaction analysis and mutual visibility between applications and networks.
TCP Service Flow Analysis
  • Supports visualization of top N statistics and analysis of hosts, applications, and sessions.
  • Allows users to view the number of SYN events, abnormal TCP events , traffic, and delay for a specified period.
  • Enables users to view details about packet loss events.
  • Combines packets for analysis in the 1:1 NAT mapping scenario.
  • Supports abnormal flow fault reasoning and one-click troubleshooting.
Intelligent Analysis of Application Quality or Security  Compliance Issues
  • Supports detection and analysis of application quality issues, including continuous or intermittent services interruption, and host ports not being listened to.
  • Supports detection and analysis of security compliance issues, including non-compliant traffic interaction, suspected SYN flood attacks, and suspected port scanning attacks.
Visualization of All RoCE Flows
  • Supports visualization of network topology.
  • Collects statistics on the trends of RoCE network read throughput, write throughput, RTT, and packet loss.
  • Supports RoCE flow analysis and abnormal session trend statistics.
Edge Intelligence Analysis
  • Supports intelligent traffic analysis based on the triplet rules of the specified TCP source IP address, destination IP address, and destination port. The system can display information such as the number of sessions with packet loss, total number of sessions, number of lost packets/total number of packets and traffic in the request direction, number of lost packets/total number of packets and traffic in the response direction, and application interactions based on the specified rule.
  • Supports intelligent traffic analysis based on the triplet rules of the specified UDP source IP address, destination IP address, and destination port. The system can display information such as the number of sessions with packet loss, total number of sessions, number of lost packets, total number of packets, discarded traffic, total traffic, average latency, maximum latency, and application interactions based on the specified rule.

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