Implementing an End-to-End CI/CD Pipeline for a Large-Scale Banking System Using Azure DevOps and TFS

The traditional banking IT development process suffers from long cycles, low traceability, manual inefficiencies, and lack of code review, which hinder rapid delivery of market‑driven products.

To address these issues, the authors designed a CI/CD pipeline for a large‑scale banking management system (referred to as the C system) using Azure DevOps Server (formerly TFS). The pipeline automates the entire development flow from requirement management, task assignment, branch creation, code commit, version merging, build, release, to automated testing.

1. Automated Static Code Scanning – By integrating TFS API, JTest, and CChecker, the team replaced manual full‑scan checks (which took three hours) with an on‑demand incremental scan plus scheduled full scans, automatically notifying responsible parties of violations.

2. Mandatory Code Review – Leveraging TFS pull‑request reviewers, the pipeline enforces module‑owner reviews for cross‑module changes and critical configuration files, preventing unreviewed or missed reviews.

3. Continuous Integration & Delivery – Build components are orchestrated in TFS to support both scheduled (12:00 and 18:00) and real‑time builds for Java front‑end and C back‑end services, with Jenkins used to bridge AIX‑based C builds where TFS agents are unsupported.

4. Automated Testing – An Ant+JUnit+Selenium framework is integrated into the pipeline to run daily regression tests on business‑critical scenarios, reducing verification time and production risk.

5. Release Management – The process defines clear branching strategies for development, testing, pre‑production, and production, with automated pull‑request triggers, branch policies, and tag‑based releases that generate deployment packages for each environment.

The end result is a fully automated, traceable, and online DevOps workflow that shortens delivery cycles, improves code quality, and frees human resources, serving as a typical practice for DevOps transformation in large banking IT systems.