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China Minsheng Bank is one of the first banks in China to go digital. Fintech is part of its core strategy and its vision is to be an agile and efficient digital bank that provides the ultimate experience.
To deliver the best possible user experience, the bank needs robust networks along with a solid data center infrastructure to support operations. China Minsheng Bank has deployed numerous distributed systems over the years, increasing the scale of its data centers.
Amid this growth, the bank's traditional O&M tools could not keep up, failing to collect a wide range of precise data and lacking intelligent fault detection methods. O&M was primarily manual, rendering it inefficient. Plus, the bank would discover network faults too late, affecting service quality.
That's why China Minsheng Bank chose Huawei's iMaster NCE-FabricInsight, an intelligent analysis platform for data center networks, to deploy smarter and more efficient O&M. The platform comprehensively monitors network data in real time, promptly detects network exceptions, and helps the bank improve its service experience.
Real-time visualized networks: Traditional O&M systems use the Simple Network Management Protocol (SNMP) to collect data within five to fifteen minutes of an action. This means that if a fault occurs, it is not immediately detected. In contrast, FabricInsight uses Telemetry to subscribe to network KPI data, enabling O&M personnel to identify exceptions in real time. It detects network traffic within milliseconds and precisely collects data samples to perceive the impact scope of network microbursts and congestion, reducing the number of faults altogether.
Network-wide health awareness: Traditional O&M tools only monitor certain KPIs such as CPU, memory, and key interface bandwidth, without paying much attention to optical links, queues, and entries. FabricInsight monitors service flows and network infrastructure to perceive network health status in real time. With the help of AI algorithms, it proactively identifies risks, such as interface traffic exceeding a certain threshold or optical module subhealth. It then generates warnings and mitigates these risks.
Intelligent exception detection: It is better to detect an issue rather than have to rectify it later. In the past, O&M personnel set thresholds to detect network exceptions. The process primarily relied on their experience and there were many failed or false alarms. They would also need to adjust the thresholds for any service changes, like holidays, which was time-consuming. FabricInsight works with AI algorithms to automate this process, identifying exceptions such as periodic offset or abrupt changes in network KPIs. This substantially reduces the number of false and failed alarms.
Intelligent O&M is an important link in financial digital transformation. It is indispensable for a bank's refined management. Huawei iMaster NCE-FabricInsight provides China Minsheng Bank with intelligent network O&M analysis and proactive O&M services to assure that the bank's end users experience the utmost service quality.