Databases 4 min read

How ZTO’s Database Operations Platform Evolved from Manual to Intelligent Automation

The article recounts Chen Jianhua’s presentation at the GOPS Global Operations Conference, detailing ZTO’s three‑stage journey in building a database operations platform—from initial automation to self‑service and finally to fine‑grained, data‑driven intelligent management—while sharing lessons and future plans.

Zhongtong Tech
Zhongtong Tech
Zhongtong Tech
How ZTO’s Database Operations Platform Evolved from Manual to Intelligent Automation

At the GOPS Global Operations Conference (Shanghai), organized jointly by GreAtOps, the Open Operations Alliance, and the DevOps Era Community, senior architect Chen Jianhua presented the evolution of ZTO’s database operations platform.

He reviewed the platform’s construction history, analyzed past pain points and solutions, and discussed topics such as massive data storage, high‑availability guarantees, capacity planning, and future directions.

Phase 1 (2019‑2020) – The platform was built from scratch, enabling automated daily operations, database deployment, middleware management, monitoring, and routine inspections through a self‑developed system.

Phase 2 (2020‑2021) – The platform advanced from basic automation to self‑service, introducing an open‑source SQL audit engine, self‑service ticket review, and a unified backup pool built on an open‑source distributed storage system.

Phase 3 (2021‑present) – Leveraging big‑data computation, ZTO created database profiles to define inspection standards, govern resource usage, and provide intelligent emergency scaling, moving from self‑service to fine‑grained operations.

Chen also shared the team’s current status and future roadmap, emphasizing problem‑oriented, end‑to‑end operational ecosystem solutions that support ZTO’s digital transformation and intelligent operations initiatives.

big dataplatform engineeringautomationDatabase OperationsZTO
Zhongtong Tech
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