近年来，光大银行围绕“打造一流财富管理银行”战略愿景，持续构建“123+N”的数字光大发展体系。在数字化转型总体战略指导下，光大银行数据中心积极推动以业务价值和用户体验为驱动的运维数字化转型，并在智能运维场景建设方面积累了丰富的实践经验，取得了良好成效。数字化转型网www.szhzxw.cn
近日，《中国金融电脑》特约撰稿人对光大银行金融科技部总经理史晨阳进行了专访，请他详细介绍了光大银行在智能运维领域的探索与实践。
一、客户至上，构建智能化服务体系
请您介绍一下光大银行数字化转型总体战略。
史晨阳：光大银行按照银保监会《关于银行业保险业数字化转型的指导意见》、人民银行《金融科技发展规划(2022—2025年)》的要求，以“客户至上、创新引领、数据驱动、中台默认和依法合规”为原则制定了数字化转型总体战略。数字化转型网www.szhzxw.cn
2022年以来，光大银行积极拥抱金融科技和互联网生态，持续打造“一个智慧大脑、两大技术平台、三项服务能力、N个数字化名品”的“123+N”数字光大发展体系，探索利用数据资产创新数字金融产品和服务，构建以客户为中心的线上化、数字化、智能化服务体系。
一是建立数字化转型顶层决策和保障机制，指导数字化转型工作落地，确保各板块的转型目标快速、有序实现；二是积极推进各业务条线经营数字化，推进数字化营销、运营、产品、服务、生态和风控建设；三是推进新一期科技战略规划(2021—2025年)，强化应用中台建设，树立新体验、新模式、新融合和中台化、敏捷化、智能化的“三新三化”发展目标；四是强化科技赋能，加强协同，在公司金融、零售金融和数字金融领域实施科技派驻机制，构建“运营、科技、风险”一体化协同的业务运营模式，促进技术与业务深度融合，敏捷响应业务需求；五是建立健全数字化转型人才培养机制，持续加强“金融+科技”复合人才队伍建设。数字化转型网www.szhzxw.cn
二、统筹规划，推动运维数字化转型
光大银行运维数字化转型的总体思路是什么?采取了怎样的策略?数字化转型网www.szhzxw.cn
史晨阳：光大银行数据中心在行业中较早引入了ITIL管理体系，逐步建立以专业职能划分的组织架构和以流程驱动的管理模式。随着金融与科技的深度融合以及银行数字化转型的深化，数据中心运维面临更大的挑战——业务对服务稳定性和可靠性的要求越来越高，与此同时，信息系统的规模越来越大且复杂程度越来越高，管理对精细化的要求也随之越来越高。
在这一形势下，光大银行提出了以数据、标准、技术和场景为核心要素，以智能化运维体系为导向的数据中心运维数字化转型思路。依托成熟的IT运维体系和IT系统稳定性保障能力，光大银行数据中心利用大数据、人工智能等新技术，探索以运维数据为核心的数字化运行态管控，推动新形势下的运维管理向敏捷化、数字化、智能化、服务化转型。数字化转型网www.szhzxw.cn
当前，运维数字化转型已成为银行业的共识，多家银行对此进行了积极探索和实践。然而，由于各行情况存在较大差异，数字化、智能化的实践场景也各不相同。
光大银行在数据中心运维数字化转型过程中采取了“统筹规划、持续迭代、逐步扩展”的策略，以科技运营数据为核心，通过搭建科技运营数据平台，支撑科技运营数据采集、分析、场景应用和可视化四个环节，融合数据深度加工和挖掘以及机器学习算法，实现金融业务创新和运维管理转型。
目前，光大银行已初步建成统一的数据采控平台、科技运营数据管理平台、科技运营数据分析平台和科技运营统一视图平台，为业务运营监控、生产运营监控和安全运营监控等场景的数字化提供了有力支撑。
三、价值驱动，深入推进智能运维建设
1、光大银行在智能运维方面开展了哪些工作？主要取得了哪些成效？
史晨阳：光大银行从2018年开始探索智能运维建设工作，数据中心运维管理逐步向以数据和业务价值为驱动的智能运维转型。转型过程中，光大银行以安全运营为根基，结合ITIL和DevOps理念为日常运营提供支撑，同时深入思考大数据、人工智能技术在转型过程中所起的作用以及可能带来的全局性风险。
从光大银行的实践来看，智能运维建设包括平台能力的建设和应用场景的建设。
在平台能力建设方面，光大银行以金融科技创新业务发展和科技运营工作为核心，搭建科技运营数据资产管理中台，构建数据采集、数据管理、算法服务、数据分析和可视化等五个数据运营能力，支撑运营管理工作。目前，光大银行已经实现10个领域55大类200余项科技运营数据的集中管理，初步构建了以数据、标准、技术、平台为基础的数据中心新一代科技运营服务能力。
在应用场景建设方面，光大银行利用平台的服务能力对生产系统进行实时数据集中管理和动态监控，支持业务运营监控、生产运营监控和安全运营监控等60余个场景应用。目前，光大银行已经建成覆盖互联网贷款、云支付、手机银行、自助设备等业务和渠道的全方位监控系统，协助业务部门更好地掌控业务发展趋势，研判业务发展方向，提高业务运营能力。此外，光大银行还利用智能算法平台建立指标异常检测、多维指标定位、调用链根因定位、日志异常检测、异常机器定位、批量超时异常检测等多个智能运维算法场景，实现日基线计算50余万条，覆盖行内所有对外关键业务系统，通过对动态基线阈值的异常检测，联动自动化运维平台进行特定异常告警的自动化处置，实现故障的智能化自愈，提升生产运营故障快速定位处置效率。数字化转型网www.szhzxw.cn
2、“十四五”期间，光大银行计划开展哪些智能运维建设工作?
史晨阳：在数字化转型总体战略的指引下，光大银行制定了中台科技战略，构建了以数据中心和基础网络两大基础设施为基础、以“一朵云”为核心技术驱动、四个平台深化建设的“两基一云四平台”技术架构蓝图，全面推广一朵全栈云，深化建设由开发框架、公共领域、专业领域、管理领域四大平台组成的技术中台。智能运维建设的关键是建立智能运维平台，打通运维流程、数据、日志，利用人工智能、云原生、大数据、RPA等技术能力，降低平均故障修复时间，延长系统无故障时间。
智能运维平台建设的核心思路包括以下三个方面：一是以实时数据治理、分析应用为目标，实现流批一体化数据加工应用；二是以中台能力建设蓝图为指导，以服务化的理念、开放的模式、多维度的思维打造平台的各项功能；三是以数据资产管理为指导，结合大数据、AI等技术进行数据治理，实现业务和科技运营相关工作的智能化。
依托智能运维平台，光大银行通过数据赋能有效保障银行业务的安全运营。一是以数据资产为核心，提升科技运营数据的资产管理能力，为各专业领域人员提供共享和开放的科技运营数据服务，充分发挥数据价值，实现可见、可懂、可用和可运营的数据中心运行态；二是实现科技运营智能化，利用大数据、人工智能等新技术探索业务运行容量趋势分析、交易链路异常检测、故障根源分析定位等智能化场景，提升运营管理中的观测、分析和决策能力；三是实现科技运营服务化，以数据服务为基础，利用业务运行实时数据建立业务运营态势和业务客户的真实使用感受监测服务，提升科技服务水平，支撑银行业务的数字化运营转型。数字化转型网www.szhzxw.cn
3、光大银行在智能运维建设工作方面对同业有哪些建议?
史晨阳：智能运维建设是一项创新性要求很高的工作，对组织和技术投入等都有很高的要求，各银行对于智能运维建设的预期也较高。结合光大银行智能运维建设的实践，提出几点建议供同业参考。
一是管理智能运维建设预期，避免出现不切实际的“最优方案”。在智能运维建设初期，场景需求会从各个方面涌现出来，各行对于当前运维管理中难以解决和不能有效应对的问题都期望能通过智能的方式找到一个最优方案，而实际上智能运维目前仍处于初级发展阶段，还无法提供一个“最优方案”。
二是统筹规划，把控智能运维建设节奏。银行应将智能运维建设作为“一把手工程”进行统筹规划、分阶段实施，避免为尽快见效而出现前台“烟囱林立”但后台支撑乏力的问题，最终给人留下智能运维“用不好、不好用”的印象。数字化转型网www.szhzxw.cn
三是管理和技术并重，切忌唯技术论。在智能运维建设过程中应当遵循管理和技术并重的原则。在管理上进行组织级全局规划，统一构建平台能力，避免重复性建设；在技术上建立柔性工作团队协作机制，将用户需求和技术实现相结合，以用户需求为导向，推进智能运维场景建设，同时建立创新激励机制，通过可跟踪的沟通反馈渠道及时获得用户的建议及需求，激发用户的主人翁意识，逐步实现运维人员在智能化建设工程中的角色转换。
翻译：
In recent years, Everbright Bank has focused on the strategic vision of “building a first-class wealth management bank” and continued to build a “123+N” digital Everbright development system. Under the guidance of the overall strategy of digital transformation, the data center of Everbright Bank actively promotes the digital transformation of operation and maintenance driven by business value and user experience, and has accumulated rich practical experience in the construction of intelligent operation and maintenance scene, and achieved good results.数字化转型网www.szhzxw.cn
Recently, the staff writer of China Financial Computer interviewed Shi Chenyang, general manager of Fintech Department of Everbright Bank, and asked him to introduce Everbright Bank’s exploration and practice in the field of intelligent operation and maintenance in detail.
Customer first, build intelligent service system
Please introduce the digital transformation strategy of Everbright Bank.
Shi Chenyang: In accordance with the requirements of China Banking and Insurance Regulatory Commission’s “Guiding Opinions on the Digital Transformation of Banking and Insurance Industry” and People’s Bank of China’s “Fintech Development Plan (2022-2025)”, Everbright Bank has formulated an overall strategy for digital transformation based on the principles of “customer first, innovation-led, data-driven, mid-Taiwan default and legal compliance”.
Since 2022, Everbright Bank has actively embraced fintech and Internet ecology, continuously built a “123+N” digital Everbright development system of “one smart brain, two technology platforms, three service capabilities and N digital famous products”. And explored the use of data assets to innovate digital financial products and services. Build a customer-centric online, digital and intelligent service system.数字化转型网www.szhzxw.cn
First, establish a top-level decision-making and guarantee mechanism for digital transformation, guide the implementation of digital transformation work. And ensure the rapid and orderly realization of the transformation objectives of each sector;
Second, actively promote the digitalization of all business lines. And promote the construction of digital marketing, operations, products, services, ecology and risk control;
Third, promote the new phase of science and technology strategic planning (2021-2025), strengthen the application of the construction of Taiwan, and establish new experience, new model, new integration and the “three new and three modernization” development goals of Taiwan, agile, intelligent;
Fourth, strengthen technology empowerment, strengthen collaboration, implement science and technology deployment mechanism in the fields of corporate finance, retail finance and digital finance, build a business operation mode integrating “operation, technology and risk”, promote the deep integration of technology and business, and respond to business needs quickly;
Fifth, establish and improve the digital transformation personnel training mechanism, continue to strengthen the construction of “finance + technology” composite talent team.
Overall planning to promote the digital transformation of operation and maintenance数字化转型网www.szhzxw.cn
What is the general idea of digital transformation of Everbright Bank operation and maintenance? What is the strategy?
Shi Chenyang: The data center of Everbright Bank introduced the ITIL management system earlier in the industry. And gradually established the organizational structure divided by professional functions and the management mode driven by process. With the deep integration of finance and technology as well as the deepening of the digital transformation of banks. The operation and maintenance of data centers are facing greater challenges –. The business has higher and higher requirements for the stability and reliability of services. At the same time, the scale and complexity of information systems are getting larger and higher. And the management requirements are also getting higher and higher.
In this situation, Everbright Bank proposed to data, standards, technology and scene as the core elements, to intelligent operation and maintenance system oriented data center operation and maintenance digital transformation ideas. Relying on the mature IT operation and maintenance system and IT system stability guarantee ability. Everbright Bank data center uses big data, artificial intelligence and other new technologies to explore the operation and maintenance data as the core of the digital operation state control, to promote the operation and maintenance management under the new situation to agile, digital, intelligent, service-oriented transformation.
However, due to the great differences in each line, the practice scenes of digitalization and intellectualization are also different.
At present, the digital transformation of operation and maintenance has become the consensus of the banking industry. And many banks have actively explored and practiced it. However, due to the great differences in each line, the practice scenes of digitalization and intellectualization are also different.
Everbright Bank adopted the strategy of “overall planning, continuous iteration and gradual expansion” in the process of digital transformation of data center operation and maintenance, taking science and technology operation data as the core, by building a science and technology operation data platform, supporting the four links of science and technology operation data collection, analysis, scene application and visualization, integrating data deep processing and mining as well as machine learning algorithm. Realize financial business innovation and transformation of operation and maintenance management.
At present, Everbright Bank has preliminarily built a unified data acquisition and control platform. Science and technology operation data management platform. Science and technology operation data analysis platform and science and technology operation unified view platform. Which provides strong support for the digitalization of business operation monitoring, production operation monitoring and security operation monitoring.数字化转型网www.szhzxw.cn
Value driven, further promote the construction of intelligent operation and maintenance
What work has Everbright Bank carried out in intelligent operation and maintenance? What are the main achievements?
Shi Chenyang: Everbright Bank began to explore the construction of intelligent operation and maintenance in 2018. And gradually transformed the operation and maintenance management of data center to intelligent operation and maintenance driven by data and business value. In the process of transformation, Everbright Bank based on safety operation. Combined with ITIL and DevOps concepts to provide support for daily operations. And in-depth thinking of the role of big data, artificial intelligence technology in the transformation process and the possible global risks.
From the practice of Everbright Bank, intelligent operation and maintenance construction includes the construction of platform capacity and the construction of application scenarios.
In terms of platform capacity building,
In terms of platform capacity building, Everbright Bank takes financial technology innovation business development and science and technology operation work as the core, builds science and technology operation data asset management center, builds data collection, data management, algorithm service, data analysis and visualization, and other five data operation capabilities to support operation management. At present, Everbright Bank has realized the centralized management of more than 200 items of science and technology operation data of 55 categories in 10 fields, and preliminarily built a new generation of science and technology operation service capability of data center based on data, standards, technology and platform.
In terms of application scenario construction
In terms of application scenario construction, Everbright Bank uses the service capability of the platform to carry out real-time data centralized management and dynamic monitoring of the production system, supporting more than 60 scenarios. Such as business operation monitoring, production operation monitoring and security operation monitoring. At present, Everbright Bank has built a comprehensive monitoring system covering the Internet loan, cloud payment, mobile banking, self-service equipment and other businesses and channels, to help the business department to better control the business development trend, research and judge the business development direction, improve the business operation capacity. 数字化转型网www.szhzxw.cn
In addition, Everbright Bank also uses the intelligent algorithm platform to establish indicator abnormal detection, multidimensional indicator positioning, call chain root cause positioning, log anomaly detection, abnormal machine positioning, batch timeout abnormal detection and other intelligent operation and maintenance algorithm scenarios, to achieve a daily baseline calculation of more than 500,000, covering all the external critical business system, through the dynamic baseline threshold abnormal detection, The automatic operation and maintenance platform automatically handles specific alarms, realizing intelligent self-healing of faults and improving the efficiency of locating and handling faults in production and operation.
“fourteen five” period, Everbright Bank plans to carry out what intelligent operation and maintenance construction work?
Shi Chenyang: Under the guidance of the overall strategy of digital transformation. Everbright Bank has developed the strategy of middle Taiwan science and technology, built the technical architecture blueprint of “two bases, one cloud and four platforms” based on the two infrastructure of data center and basic network, driven by “one cloud” as the core technology and four platforms to deepen the construction, and comprehensively promoted a full stack cloud. Deepen the construction of a technology center composed of four platforms: development framework, public domain, professional domain and management domain. The key to the construction of intelligent operation and maintenance is to establish an intelligent operation and maintenance platform. Get through operation and maintenance processes, data and logs. And use artificial intelligence, cloud native, big data, RPA and other technical capabilities to reduce the average time for fault repair and extend the time without fault of the system.
The core ideas of intelligent operation and maintenance platform construction include the following three aspects:. First, real-time data governance, analysis and application as the goal, to achieve the flow and batch integration of data processing application. Second, under the guidance of the capacity building blueprint of Middle Taiwan. The platform should be built with the service-oriented concept, open mode and multi-dimensional thinking. Third, guided by data asset management and combined with big data, AI and other technologies. Data governance is carried out to realize the intelligent work related to business and science and technology operation.
Relying on intelligent operation and maintenance platform, Everbright Bank can effectively guarantee the safe operation of banking business through data empowerment.
First, it takes data assets as the core, improves the asset management ability of science and technology operation data, provides shared and open science and technology operation data services for personnel in various professional fields, gives full play to the value of data. And realizes the visible, understandable, usable and operable data center operation state. The second is to realize intelligent science and technology operation. 数字化转型网www.szhzxw.cn
New technologies such as big data and artificial intelligence are used to explore intelligent scenarios such as business operation capacity trend analysis, transaction link anomaly detection, fault root analysis and location. And improve observation, analysis and decision-making ability in operation management. The third is to realize the servitization of science and technology operation. Based on the data service, the real-time data of business operation is used to establish the monitoring service of business operation situation and the real use feelings of business customers, improve the level of science and technology service, and support the transformation of digital operation of banking business.
Everbright Bank in the intelligent operation and maintenance of the construction of the industry what suggestions?
Shi Chenyang: Intelligent operation and maintenance construction is a work with high innovation requirements. Which requires high organizational and technical input. Banks have high expectations for intelligent operation and maintenance construction. Combined with the practice of intelligent operation and maintenance construction of Everbright Bank, some suggestions are put forward for reference.
One is to manage the expectations of intelligent operation and maintenance construction to avoid unrealistic “optimal solutions”.
In the early stage of intelligent operation and maintenance construction, scene requirements will emerge from various aspects. All parties expect to find an optimal solution through intelligent means for the problems that are difficult to solve or cannot be effectively solved in the current operation and maintenance management. In fact, intelligent operation and maintenance is still in the initial stage of development and cannot provide an “optimal solution”.
Second, make overall planning and control the pace of intelligent operation and maintenance construction.
Banks should take intelligent operation and maintenance construction as a “top project” for overall planning and phased implementation. So as to avoid the problem of “chimney stacks” at the front desk but weak support at the back office in order to achieve results as soon as possible. And ultimately leave the impression that intelligent operation and maintenance is “not used well”.
Third, both management and technology should be attached equal importance, and only technology should be avoided. 数字化转型网www.szhzxw.cn
In the process of intelligent operation and maintenance construction, the principle of both management and technology should be followed. In the management of the organization level of global planning, unified construction of platform capabilities, avoid repetitive construction. In terms of technology, a flexible work team cooperation mechanism should be established to combine user needs with technical realization. And promote the construction of intelligent operation and maintenance scene guided by user needs. At the same time, an innovation incentive mechanism should be established to timely obtain users’ suggestions and needs through traceable communication and feedback channels, and stimulate users’ sense of ownership. Gradually realize the role transformation of operation and maintenance personnel in intelligent construction projects.
本文由数字化转型网（www.szhzxw.cn）转载而成，来源：中国金融电脑；编辑/翻译：数字化转型网宁檬树。
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