This article explores how the rise of cloud‑native technologies forces traditional operations to transform into service‑oriented platforms, detailing new organizational structures, the OPaS model, onion‑layered migration, practical steps, and key lessons for successful ops modernization.
Didi’s ride‑hailing backend evolved from a monolithic service to a DDD‑split architecture and the DuKang framework, then standardized components, rendering gateways, function access, and logging to solve multi‑terminal inconsistency, complex rendering logic, cross‑process integration, and data visibility, creating a unified cross‑end rendering platform supporting over twenty pages.
The iDesk service platform is a comprehensive internal tool that evolved through three development phases, adopts a BS+Service architecture with modular local services, offers extensive software management and self‑service utilities, integrates tightly with TripPal and service accounts, and implements robust operational monitoring to achieve high availability and user satisfaction.
This article chronicles the six‑year evolution of the Tian'e Home Service order platform—from its early embedded form in 2015 to a unified, multi‑service order system—detailing architectural milestones, functional upgrades, and the testing challenges faced by the QA team throughout each phase.
This article details the three‑month redesign of the Car Dealer Connect (车商通) B2B platform, describing how multi‑dimensional metrics such as daily active users, usage time, Customer Effort Score (CES) and NPS were used to evaluate the shift from a tool‑centric product to a service‑oriented platform and the resulting business impact.
This case study details how the "CheShangTong" B2B car‑dealer product was transformed from a tool‑centric app into a service platform through business analysis, user research, problem discovery, and a five‑dimensional service upgrade, with results measured by CES surveys.
The article outlines vivo’s shift from traditional DBA firefighting to a product‑oriented database service model, detailing demand‑driven selection of MySQL, Redis, TiDB and others via a five‑dimensional radar, and the design of a unified, multi‑environment platform that emphasizes user experience, automation, and seamless cloud‑IDC integration.
