How SF Express Transformed Its Infrastructure: From Chaos to Automated DevOps

1. Introduction

SF Express’s data‑center team is responsible for the full lifecycle of infrastructure components such as network, storage, servers, databases and middleware.

2. SF Tech Overview

SF Tech serves SF Group, focusing on IT research, development and operation for the logistics industry and driving business innovation.

3. Evolution of Innovation

Before 2010 the company digitized order, collection, transit and delivery processes. From 2010‑2014 it added electronic payment, mobile client, big‑data analytics and rapid business growth. Since 2015 continuous innovation has been pursued.

4. From Primitive Ops to Standardized Practices

4.1 Establishing Standards

Six months were spent defining software usage standards; a year later most business systems were standardized, reducing hardware‑related failures.

4.2 Building Professional Teams

Specialized operation teams were formed, each focusing on a particular infrastructure domain, achieving battle‑ready capability within six months.

4.3 Change Management (CAB)

Since 2012 a Change Advisory Board enforces fixed change windows, risk assessment and documentation, dramatically lowering human‑error incidents.

4.4 Tooling and Proactive Monitoring

Configuration‑management and monitoring platforms were built in six months, cutting fault volume to about one‑tenth of the previous level. Capacity forecasting uses R models to predict resource needs for peak events such as Double‑11.

5. Accelerating Efficiency and Cost

5.1 Open‑Source Foundations

All middleware, messaging and databases were migrated to open‑source solutions in 2015, eliminating most software‑license costs.

5.2 Service Delivery Optimization

From a 15‑day delivery lead time, process re‑engineering and a unified ticket system now achieve 2‑3‑day delivery for most requests.

5.3 Automation of Routine Work

Automated change generation allows a single button click to schedule and execute routine operations; non‑creation changes are semi‑automated.

6. Redefining Professionalism

6.1 New Skill Model

Operations staff now focus on application‑level responsibilities while infrastructure specialists handle platform stability, breaking down silos.

6.2 Removing Middle Layers

End‑to‑end self‑service delivery is pursued by integrating data and visualisation across teams.

6.3 Optimising Architecture

Databases are treated as storage containers; heavy logic moves to the application layer, and sharding reduces hardware pressure. Docker and KVM enable lightweight horizontal scaling.

7. Future Vision – "WeiX" Platform

The platform aims to expose infrastructure and professional services as atomic, secure, self‑service APIs, providing transparent data sharing, autonomous delivery and adaptive capabilities.