By Henry Ma

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Henry Ma, Executive Vice President and Chief Information Officer of WeBank

All bonds are built on trust. In the unpredictable post COVID-19 era, businesses face unprecedented challenges, and the need to build and transmit trust between institutions under these conditions remains of paramount importance. By its very nature, blockchain helps to improve multi-stakeholder trust and can be leveraged to achieve greater collaboration in this regard.

Over the past decade, a growing number of blockchain applications across industries and business scenarios have consolidated a “New Infrastructure” of the digital economy, paving the way to unleash untapped sources of data, empower industry integration and accelerate asset digitization.

In a world that is both more interconnected than ever (e.g. technology, supply chains) and simultaneously disconnected (e.g. travel bans, quarantine mandates), we at WeBank anticipate an expansion in blockchain-enabled business scenarios in 2021 to re-ignite and fuel business opportunities. …


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As China’s first digital-only bank , WeBank has developed rapidly in recent years,supported by hundreds of millions of active users. The experience of massive users would be strongly affected if there are IT system failures.

To ensure system stability and improve key indicators, including MTTR (Mean Time To Repair) and MTBF (Mean Time Between Failures), the O&M team has made long-term efforts in the RCA project to detect anomalies quickly and perform effective RCA for swift system recovery. The current accuracy rate of the RCA module remains stable at around 80%.

Data analysis drives root cause locating. Therefore, data accuracy and integrity are crucial to the RCA module. The O&M team started the AIOps project based on the solid data provided by the second-generation maintenance systems. …


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From September 23 onwards, Chinese mainland resumed issuing visas for visitors to Macao. Thanks to the mutual recognition system of Macao blockchain health code and Guangdong health code launched in May, mainland Chinese tourists can apply and use Guangdong health code to verify their health status when entering Macao. Up to date, more than 17 million people have cleared customs between Chinese mainland and Macao using the blockchain system. The average time of receiving, transforming, and generating the health code for the first time is only 100 seconds. …


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WeBank initiated root cause analysis (RCA) project after anomaly detection accuracy has improved significantly. It has always been a challenge to define the locating and reasoning basis for RCA. By analyzing historical cases, we find transaction trace the beacon guiding us to reach the problem’s root. All WeBank’s transactions are communicated via the message bus, from which it is possible to generate a transaction tree for every transaction.

WeBank offers a financial-grade message bus solution by utilizing the self-developed WEMQ (WeBank Message Queue). Each transaction assigned a unique business sequence number communicates through WEMQ, which records the original message log. It also records the information of sender, receiver, log point, sending time, receiving time, business sequence number, concreted message, etc. Based on a set of pre-configured rules and message logs, WeBank AIOps employs an algorithm to generate a unique transaction tree for each transaction. …


By Phyllis Li

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Fuelled by rising international trade and an increasingly connected global economy, cross-border payments play a crucial role in enabling business between consumers and merchants. As a result, the cross-border payment market has been growing at an unprecedented rate and presents much room for innovation. Historically the SWIFT (the Society for Worldwide Interbank Financial Telecommunication) network and the “corresponding” banking system dominated this space. The complexity of the network makes cross-border transfers slow and costly. Participating banks must keep idle funds in foreign currencies to meet forecasted demand. …


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Image from Pixabay

WeBank has adopted Machine Learning (ML) to detect anomaly from KPI curves without thresholds that were manually defined by human experience with the initial goal of achieving automatic anomaly discovery and alert in intelligent IT operations.

To achieve that goal, WeBank has developed the Shitu module of the intelligent monitoring system. Shitu is an abnormal curve detection system based on four key performance indicators (KPIs), including real-time transaction volume, business success rate, system success rate, and average transaction latency. The difference between the business success rate and the system success rate is the system anomalies captured.

All system failures that affect the business reflected on the four minute-level KPIs, so we can analyze all business impact anomalies by studying abnormal fluctuations of the indicators. The KPIs with different statistical perspectives and fluctuation patterns require different algorithms. …


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Abstract: According to the latest definition from Gartner, Artificial Intelligence Operations (AIOps) integrates big data and machine learning to extract and analyze the growing volume, variety, and velocity of data in a scalable and loose-coupling manner, supporting IT Service Management platform. To share our daily practice and front-line experience with peers, the WeBank AIOps team has written article series on the subject of AIOps.

Previously on WeBank AIOps Series: AIOps Series Ⅰ: The Emergence and Practice of AIOps

Origins

In recent years, AIOps has gained popularity with the rise of big data and AI technologies. However, most enterprises face significant challenges in AI applications. WeBank initiated the AIOps project with anticipation to solve the problems we encountered as we grow. We rolled out a few pilots after sufficient data and algorithms were accumulated. In the process of exploration, we have experienced various difficulties and setbacks. After three years of efforts, WeBank had successfully built the second generation of Ops tools in early 2017 including CMDB (Configuration Management Database), ITSM (IT Service Management), PACE+ (automated publishing tools), IMS (Intelligent Monitor System), and ICP (Intelligent Capacity Planner). …


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Image credits: Unsplash

According to the latest definition from Gartner, Artificial Intelligence Operations (AIOps) integrates big data and machine learning to extract and analyze the growing volume, variety, and velocity of data in a scalable and loose-coupling manner, supporting IT Service Management platform. To share our daily practice and front-line experience with peers, the WeBank AIOps team has written article series on the subject of AIOps.

IT operations emerged with the establishment of big tech companies, which was more about computer maintenance and network administration. Anything computer-related was within the scope of IT Ops. As technology advanced, the responsibilities and roles of IT position refined and transformed to form the IT Ops functional department that oversees business continuity nowadays. …

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