Optimizing Traditional Commercial Bank Architecture in the Era of Internet Finance

With decades of development, the four major commercial banks have built core business systems that support billions of customers and daily transaction volumes of up to 200 million, but the rapid emergence of big data, cloud computing, social networks, O2O, and distributed architectures is pressuring these mature IT infrastructures.

To reduce reliance on mainframes, the bank has already migrated many query transactions to an open platform, cutting CPU usage by about 70 % while handling 60 % of daily transactions, and plans to further shift less‑critical workloads and replicate static data to the platform.

Traditional banking emphasizes transaction consistency, whereas internet companies accept eventual inconsistency to achieve high concurrency; the article suggests atomizing and service‑ifying mainframe transactions, using ESB, Webservice gateways, and database replication to improve scalability.

It outlines a four‑point SOA‑based roadmap: (1) atomic and service‑oriented transaction design via a Webservice gateway (BWG); (2) unified service catalog and management; (3) cross‑system service invocation, sharing, and composition; (4) building a generic application service platform to replace ad‑hoc solutions.

The open platform should evolve from a front‑office integration point to a core processing engine, leveraging cloud resources, distributed multi‑active architectures (e.g., Zookeeper), and frameworks such as Dubbo for asynchronous messaging and high availability.

In the big‑data domain, the bank has established Hadoop, MPP, Spark/Storm, and SAS labs, and identifies five functional areas: multi‑source data acquisition, massive data storage, customer insight via machine learning, credit profiling, and real‑time consumption analytics. Recommendations include consolidating an ODS database, creating a unified customer data mart, advancing Sql‑on‑Hadoop tools, and forming an analyst team.

Overall, the optimization strategy aligns IT architecture with the bank’s strategic goals, balancing innovation with stability while embracing service‑oriented, cloud‑native, and big‑data technologies.