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!
The Model Context Protocol (MCP) is an open‑source interface that standardizes how large language models interact with external data sources and tools, offering a USB‑C‑like universal connector for AI applications, with built‑in session management, security, and flexible HTTP/SSE transport for seamless real‑world integration.
This article explains how the ZTO Tech team overcame the hallucination problem of generic AI code generators by integrating a local knowledge base, structured prompts, and an MCP service, enabling the model to understand and follow internal frameworks, component libraries, API standards, and security rules, dramatically improving code compliance and developer productivity.
This article explains how AIOps leverages AI, machine learning, and dynamic threshold techniques to handle massive, multimodal monitoring data, improve anomaly detection, and enhance IT operation reliability through metric classification, baseline prediction, and automated fault remediation.
Facing massive daily Spark shuffle volumes and unstable ETL performance, ZTO Express migrated from the community External Shuffle Service to Celeborn's Remote Shuffle Service, achieving higher disk I/O efficiency, better reliability, reduced network connections, and significant reductions in task failures and job latency.
At the CIS 2022 Cybersecurity Innovation Conference in Shanghai, ZTO Express’s security chief shared practical strategies for data security governance, highlighting legal compliance, management vs. technical controls, and the emerging role of privacy computing in sustaining business operations.
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.
This article describes how Zhongtong tackled severe pod‑scheduling imbalance in its Kubernetes clusters by extending the scheduler with the Scheduling Framework, adding custom filter and score plugins that balanced CPU load, boosted overall utilization from 30% to 50%, and reduced manual scheduling interventions by about 80%.
This article examines the origins, strategic importance, architecture, and key features of ZTO’s internally‑developed “Box” platform, illustrating how it unifies seamless user experience with deep security through zero‑trust principles, cross‑platform development, and integrated collaboration tools for a large logistics enterprise.
This article describes how ZTO's testing team created a centralized test‑tool platform that integrates front‑end and back‑end services, standardizes tool access, tracks usage via AOP, supports data generation, order creation, tracking, MQ messaging, and other platform integrations to dramatically improve testing productivity.
This article explains how traditional VPNs are being replaced by Software‑Defined Perimeter (SDP) solutions, detailing the underlying protocols, encryption methods, SOCKS5 proxy integration, custom DNS handling, IAM integration, and the ZFE gateway architecture that together enable a zero‑trust network for modern enterprises.
