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The article explains how traditional front‑end/back‑end structures limit agility, introduces the concept of a middle platform (中台) that centralizes common services, showcases successful examples like SuperCell, Alibaba and Huawei, and outlines when and how organizations should adopt such a platform.
This article presents Autohome's journey from fragmented application deployment to the unified A-One platform, outlining its design rationale, cloud-native architecture, implementation outcomes, and roadmap to boost developer productivity and system reliability across the organization.
Since 2016 DiDi has evolved its machine‑learning platform from isolated, workshop‑style GPU servers to a cloud‑native, Kubernetes‑driven architecture that unifies resource management, introduces custom parameter‑server and serving frameworks, provides autotuning, external SaaS offerings such as Elastic Inference and JianShu, and aims for a 3.0 unified internal‑external AI marketplace.
This article outlines Meituan’s transition of its database platform from manual, script‑based operations through tool‑ and product‑centric stages to a private‑cloud and automation era, discusses current challenges such as root‑cause analysis and staffing, and shares insights on moving toward fully intelligent, data‑driven database operations.
The article outlines Ant Financial's technical risk prevention platform, describing the challenges of financial‑grade distributed architectures, the multi‑layer risk assurance system, the TRaaS platform's risk baseline, handling, and change‑control mechanisms, and how these practices empower partners to achieve high‑availability and secure financial services.
The JD Automotive Value‑Added Service System integrates product purchase and offline installation services into a seamless “product + service” experience, featuring a merchant cooperation platform, an operations management backend, agile cross‑team development, and rapid market growth with thousands of merchants and millions of SKUs.
The article reflects on the deep divide between core and business development teams, emphasizing the need for thick‑skinned communication, structured feedback channels, realistic expectations, and proactive platform management to turn criticism into constructive collaboration.
This article details Meizu's journey from early internet eras to a mature continuous delivery platform, outlining the operational challenges, platform components, standardization, automation, and future intelligent operations to achieve high quality, efficiency, cost control, and security.
This article describes the background, terminology, design principles, and detailed implementation of Alibaba's Detail platform, covering modular architecture, front‑back separation, module refactoring, stability, testing, continuous integration, deployment structures, and real‑world use cases.
In this talk, Ctrip’s R&D Director Wu Yiting shares how the company’s continuous delivery platform evolved through large‑scale platform launches, major reforms, and the aftermath of the 528 incident, highlighting improvements in security, availability, scalability, and container‑based delivery practices.