Operations 13 min read

How Anxin Securities Achieved Leading DevOps Level‑3 Continuous Delivery: Insights and Metrics

Anxin Securities’ CIO discusses how the company’s Internet Customer Service Platform passed the DevOps Standard Continuous Delivery Level 3 assessment, detailing the motivations, implementation challenges, measurable improvements, and future plans for scaling DevOps across its technology stacks.

Efficient Ops
Efficient Ops
Efficient Ops
How Anxin Securities Achieved Leading DevOps Level‑3 Continuous Delivery: Insights and Metrics

At the 16th GOPS Global Operations Conference in Shenzhen, Anxin Securities announced that its Internet Customer Service Platform passed the DevOps Standard Continuous Delivery Level 3 assessment, a domestic leading level.

In an interview, CIO Xu Yanbing introduced the company and the evaluated project, describing the 7×24 online service platform that aggregates company‑wide service resources, integrates an intelligent chatbot, and provides instant answers to millions of customers via Android, iOS and H5 front‑ends.

He explained why Anxin joined the DevOps standard assessment: fragmented tools, lack of a unified pipeline, low test automation, and the need for faster, measurable releases as the IT team grew beyond 800 members.

The assessment helped the project improve core metrics: unit‑test coverage rose from 30 % to over 75 %, automated‑test ratio increased from 40 % to over 80 % with a 99 % success rate, pipeline execution time fell below 8 minutes, and the average delivery cycle shortened to 5.7 days—a more than 70 % improvement over the previous one‑month cycle.

Three pilot projects (Internet Customer Service Platform, User Center, Mobile Trading Service Middleware) now cover almost all in‑house technology stacks—Java, H5, Android, iOS, and databases—forming a solid DevOps platform that supports 90 % of the company’s self‑developed systems.

Looking ahead, Anxin plans to further standardize and scale its agile DevOps processes, incorporate CMMI requirements, and extend DevOps from internal IT to business‑driven continuous improvement, leveraging container cloud platforms, AI, and big data to create a fully integrated, intelligent delivery ecosystem.

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Software EngineeringDevOpsMetricsContinuous DeliveryDigital TransformationIT Operations
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