Within a bank, compared with business lines such as the corporate business department and investment banking department, the technology line is often less likely to produce results, and the data center in the technology department is mainly responsible for operation and maintenance, and is often labeled as "no development". Labels, among which the network post may be more difficult to highlight their own value.  However, is the network department of the bank really unable to play value?

Recently, F5 joined hands with a large joint-stock bank to create a big data engine solution, which helps realize financial risk control with the help of network equipment capabilities. The first patent of the bank demonstrates the strength of the bank's financial technology, innovation and opens up a new path for the innovative thinking of the bank's data center and network department.

With the help of F5 big data engine solution, a bank obtained a national invention patent through innovation

Breakthrough in network equipment innovation Obtained national invention patent

Today, the banking industry is actively promoting online and digitalization, and all banks are unwilling to lag behind, hoping to win the first opportunity in this wave. As one of the most widely used technologies in the banking industry, big data can help financial risk control and eliminate hidden risks. As we all know, banks have a large amount of high-quality data waiting to be developed, but how to obtain these data and how to make full use of the massive data to bring more value to the business has become an urgent problem for major banks to solve.

A large joint-stock bank actively responded to the national digital economy strategy, focused on building a digital risk control security ecosystem, built an intelligent risk control platform, and built an intelligent, complete and efficient omni-channel, full-scenario, and full-time risk control and prevention system. The bank also established an operation and maintenance data governance team to carry out operation and maintenance data management from the aspects of data management process, technical support, and management regulations.

The big data engine solution jointly created by F5 and the bank can realize automatic real-time collection of business value delivery process data, realize financial risk situation awareness, ensure data security, and greatly reduce development and operation costs. The characteristics of replication and easy promotion.

Comprehensive data monitoring and analysis keeps financial risks under control

At present, most financial institutions have built a complete IT structure, which can undertake large-scale financial transactions and ensure the reliability and security of financial transactions. However, with the development of financial services, the IT architecture of financial institutions is gradually expanding from the traditional data center to the cloud, and the operation and maintenance methods are also transitioning from the traditional manual scripting method to the modern DevOps.

For financial institutions, the business is becoming more and more complex. The normal operation of a business system involves all aspects from the network layer to the application layer. To ensure the smooth operation of the business, it is necessary to monitor the various contents. However, the traditional monitoring methods are mainly concentrated at the network level, and the technical architecture adopted is relatively closed, does not have the characteristics of agile development, it is difficult to find the root cause of the impact on the business, and it is difficult to meet the timeliness requirements.

The F5 big data engine solution runs under the full agent structure, which can monitor all data from the second to the seventh layers in real time, and can realize all-round data extraction. Together with the data analysis platform, it can meet the complex requirements of real-time business monitoring, and can provide The real-time "T+0 fresh" data meets the needs of comprehensive business analysis and control, and realizes intelligent investigation, real-time early warning and real-time blocking of business transaction risks.

The two platforms work together to reduce the cost of development and maintenance

The F5 big data engine solution mainly includes two platforms—the data providing platform and the data analysis platform. The F5 LTM device serves as the data providing platform, and provides data as needed, and provides it to the data analysis platform through the high-speed log mode. The data analysis platform conducts corresponding analysis on the provided data, completes the data display on demand, and provides it to real-time decision-making applications for real-time decision-making.

F5-based real-time data acquisition system helps real-time decision-making applications

Compared with other similar solutions, the F5 big data engine solution has a number of outstanding advantages: when new data is collected, it is not aware of the data producer and does not need the cooperation of the producer to develop, which can reduce communication costs, speed up the development progress, and save Time cost; and there is no need to deploy a large number of data collection agent programs, saving resources, simple maintenance, and reducing labor costs for operation and maintenance; when new data formats are added, no program development is required, and only the format configuration of relevant information is required to realize configuration dynamic loading, greatly improving Reduce development costs.

Now that applications are ubiquitous, security risks are increasing day by day, and security threats brought about by complex collaboration can be seen everywhere. F5 is committed to protecting, delivering, and optimizing any application and API anytime, anywhere. In the face of challenges, F5 always keeps pace with the times, creates innovative security solutions with leading technologies, helps financial institutions build a new line of defense for digital security, and empowers the digital transformation of the financial industry. Can speed up.