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Before the upcoming HUAWEI CONNECT 2018, Huawei released the latest version of the data center network analyzer–FabricInsight. This industry-leading intelligent network monitoring and analysis platform makes it easy for customers to build intelligent operating systems for applications in data centers. The latest software version, FabricInsight 2.0, features telemetry, machine intelligence, and improved big data analytics capability, helping global customers unveil a new mode for proactive O&M in data centers, efficiently detect, locate, and predict risks in cloud data centers, and build highly stable data center networks.

Virtualization, cloudification, containerization, and artificial intelligence (AI) are driving the transformation of data centers. Enterprises are in urgent need of accelerating innovation, and improving flexibility, stability, and security in increasingly complex data centers.

Leon Wang, General Manager of Huawei’s Data Center Network Domain, said: “As our customers turn to cloudification and ‘AI Plus’, they are exploring ways to implement intelligent O&M using big data, machine learning, and other technologies. Leveraging the network status dynamic baseline generated based on telemetry and machine learning, FabricInsight 2.0 supports brand-new automatic identification of typical faults and predictive maintenance, facilitating network O&M personnel in performing one-click fault analysis and location, as well as potential risk prediction. This indicates that Huawei Intent-Driven Network (IDN) has taken an important step forward.”

The brand-new software version, FabricInsight 2.0, has been launched, and its new features are:

Automatic identification of typical faults and troubleshooting wizard: FabricInsight 2.0 is preset with dozens of typical faults related to service quality, network service, security compliance, and other aspects. It provides an overview of currently active and historical failures, and a new troubleshooting wizard. This implements automatic identification of typical faults in seconds and one-click fault diagnosis and troubleshooting.
Quick fault locating based on software and hardware: FabricInsight coordinates with Huawei CloudEngine series switches to intelligently preprocess data on the local device, facilitating data analysis. This effectively improves the analyzer’s overall performance and greatly reduces the requirements for servers where FabricInsight is installed. In addition, leveraging the device edge intelligence, FabricInsight is capable of analyzing all packets and quickly locating faults in minutes.
Machine intelligence-based predictive maintenance: FabricInsight provides enhanced AI-based O&M capabilities. It takes advantage of the big data and machine learning algorithm to train network behavior models, and establishes dynamic baselines for devices, queues, and ports. In this way, FabricInsight can proactively detect exceptions, predicting faults from the component level to network level. The latest FabricInsight shifts from passive O&M to proactive O&M, enabling networks to detect risks prior to services being affected and reducing the network fault rate by up to 68%.
FabricInsight is one of the core components of Huawei CloudFabric cloud data center network solution. The latest version, FabricInsight 2.0, makes improvements to rapid and proactive fault identification, analysis performance, and risk prediction, taking the lead in intelligent O&M of data center networks. As one of the leaders in cloud data center network, Huawei CloudFabric solution has been successfully put into commercial use in more than 6,400 enterprises worldwide, helping customers in finance, Internet, carrier, and other industries to implement digital twin-based innovative services and enabling data centers to become business value creation centers.

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