How a Chinese Bank Boosted DevOps Efficiency with Dual‑Standard Metrics

On May 29, 2024, the Central Cyberspace Administration, the State Administration for Market Regulation, and the Ministry of Industry and Information Technology jointly issued the "Information Standard Construction Action Plan (2024‑2027)", emphasizing the promotion of internationalization of IT standards, including deep participation in ISO, IEC, ITU and other international standard bodies.

China Academy of Information and Communications Technology (CAICT) launched a synchronized assessment based on the ITU DevOps international standard and the domestic DevOps standard, achieving mutual recognition of international and domestic standards and upgrading the assessment scope, certificates, and reports.

On December 17, 2024, at the 5th IT New Governance Leadership Forum in Beijing, CAICT announced the dual‑certificate assessment results for the ITU DevOps international standard, the domestic DevOps standard, as well as AIOps and FinOps related standards.

Assessment Project: Bank of Communications Software Center Measurement Platform, which passed the ITU DevOps international standard assessment and the domestic DevOps Capability Maturity Model (Efficiency Measurement – System Platform and Tools, Level 2) assessment, demonstrating leading domestic capability.

Assessment Unit: China Academy of Information and Communications Technology.

Bank of Communications, founded in 1908, has been accelerating digital transformation through big data, cloud computing, and AI, building a data‑centric decision‑support system and a digital platform that integrates online and offline channels.

The Measurement Platform follows the principles of data‑driven, full‑lifecycle coverage, and continuous improvement, monitoring key metrics across continuous delivery, agile development, technical operations, cost management, and organization/personnel. It visualizes quality and efficiency indicators for each stage of the software development lifecycle, supporting multi‑level decision‑making.

Key motivations for participating in the assessment include aligning with industry best practices, validating capabilities, and contributing to industry progress.

The platform is built on a micro‑service architecture with containerized deployment, offering extensive customization for teams of various sizes and stages. It integrates with the bank’s data‑mid‑platform for data collection, preprocessing, and tagging, enabling real‑time computation and multi‑modal data governance.

Through the assessment, the platform demonstrated improvements in metrics such as build success rate, test coverage, code defect rate, deployment frequency, mean time to deploy, and release failure rate. Real‑time alerts trigger notifications via email or instant messaging when thresholds are exceeded.

Consequences of the assessment include heightened data‑driven management awareness, increased transparency of development processes, smoother cross‑department collaboration, and a culture of continuous improvement.