Integrating industry and information for digital efficiency, advancing Zhongtong Express's high-quality development through digitalization. This is the public channel of Zhongtong's tech team, delivering internal tech insights, product news, job openings, and event updates. Stay tuned!
At the 2021 QECon conference in Shenzhen, Zhongtong Express senior architect Wu Da detailed the design and evolution of their big data quality assurance framework, covering six key layers and highlighting future trends in predictive analytics and deep business integration.
This article introduces the Python‑based Locust load‑testing framework, explains its event‑driven architecture, weight‑based task distribution, command‑line and web UI operation, distributed execution, and practical usage patterns, then evaluates its advantages, drawbacks, and suitability for performance testing projects.
This article explains how a lightweight test‑automation platform built with SpringBoot, MyBatis and Layui dramatically reduces data‑generation and validation effort, streamlines integration testing, and boosts overall testing productivity for developers and QA engineers.
A morning outage revealed an ingress‑nginx CrashLoopBackOff caused by a non‑TLS secret, and this article walks through the log analysis, code inspection of the controller startup, the faulty extractTLSSecretName logic, and the two‑pronged fix to prevent future crashes.
This article explains how Zhongtong implemented a Java‑based code‑coverage service using Jacoco, integrated it into their CI pipeline, generated multi‑dimensional coverage reports, and refined testing workflows to improve software quality and reduce untested code.
This article walks through a real‑world Kafka incident where a sudden surge in client connections caused ISR churn, frequent connection drops, and high response time, and explains how monitoring thread idle rates and increasing network and I/O thread counts restored stability.
This article details ZTO Express's journey of adopting Apache Kylin for OLAP, comparing it with Presto, describing platform architecture, performance gains, integration with scheduling and monitoring systems, and the practical optimizations and future plans that enabled sub‑second query responses on massive daily data volumes.
At the 9th China Logistics Technology Summit, ZTO Express’s Le Aihua explained how AI‑driven intelligent routing and big‑data analytics are reshaping logistics networks, boosting efficiency, cutting costs, and positioning logistics as a critical infrastructure in the post‑pandemic era.
This presentation details ZTO Express’s rapid rise from a modest startup to the world’s largest courier by exploring its technology‑driven business model, crowd‑funded expansion, electronic waybills, smart routing, AI customer service, employee equity schemes, and future digital logistics strategies.
ZMS is ZTO Express's cloud‑native message middleware platform built on RocketMQ and Kafka that automates deployment, provides a unified SDK, supports multi‑datacenter operation, and offers comprehensive monitoring, enabling seamless scaling and fault‑tolerant messaging for billions of daily events.
