The article explains how to transform a human‑focused SOP into a fully executable Skill for AI agents by filling six layers of actionable semantics, illustrating the process with a content‑creation assistant case, and detailing the required directory structure and verification steps.
The article analyzes the limitations of conventional data asset architectures for AI, introduces OpenClaw's layered, operator‑driven platform design, details the three components of high‑quality datasets, and shares practical implementation insights and challenges from a real‑world deployment.
This article details XiaoBai's journey from struggling with ad‑hoc incident handling to designing a comprehensive platform that captures anomaly data, diagnoses root causes, and enables every team member to respond quickly and consistently, ultimately achieving a "everyone can respond" operation model.
Feature engineering, the process of creating input variables for machine learning models, is crucial for banking risk control; this article explains the concepts of features, variables, and metrics, outlines challenges in real‑time feature pipelines, and proposes a practical architecture and best practices for building an efficient, low‑code feature platform.
This article outlines Bilibili's five‑year journey building a comprehensive big‑data development and governance platform, detailing its user segmentation, product positioning, data map and governance product design, abstract configuration approach, operational mechanisms, value assessment, and measurable impact on data efficiency and business outcomes.
At the 2024 GOPS Global Operations Conference, Bilibili senior R&D engineer Gu Lintao will present BCM—Bilibili’s Chaos Engineering Platform—showcasing how its design and capabilities let developers, testers, and SREs safely inject faults, uncover hidden architectural risks, and improve service stability through real‑world drills and systematic reliability engineering.
This article analyses the inherent trade‑offs of low‑code platforms, explaining why the three core goals—easy to use, powerful functionality, and low system complexity—cannot be simultaneously achieved, and proposes focusing on the most common scenarios while providing escape‑hatch mechanisms for advanced needs.
This article examines how 58 platform built a trust‑based credit system by analyzing current user friction, introducing a “trust domain” grounded in authenticity, logic and empathy, selecting brand‑aligned colors, and emphasizing new‑user onboarding to enhance safety and loyalty for both consumers and merchants.
Over the past year, Mooncake transformed from a simple mock service into a comprehensive API collaboration platform, integrating Yapi and mock functionalities, adopting Nielsen’s design principles, and introducing tools for Java, Go, iOS, Android, and frontend development, while outlining its architectural upgrades, design philosophy, and future roadmap.
The author, a Taobao front‑end engineer, compares the homepage and shopping‑cart modules, showing how their business goals, technical architectures—cart’s StarRing middle‑platform with extensible plug‑ins versus homepage’s custom interceptors—and deployment practices differ, and proposes adopting the cart’s extension‑point design and modular packaging for the homepage to improve maintainability, scalability, and promotion agility.
This article examines the architecture of WeChat Mini Program platforms, analyzing their definition, advantages, development costs, alternative solutions, and emphasizes that their primary value lies in providing a secure, controllable environment for exposing native capabilities.
The article examines why software architectures inevitably degrade as projects grow, outlines the stages of decay, critiques common quick fixes, and proposes strategic solutions such as adopting new technologies, refactoring into isolated components, using separate processes, and building loosely coupled platforms to sustain long‑term maintainability.
DiDi’s Bay Flow platform transforms its service‑side API into a configurable, layered “travel middle‑platform” that routes front‑end requests through a flow layer and reusable ability components, using the Dukang framework’s transports, steps, and factors to support dozens of ride‑hailing categories across PHP and Go while ensuring isolation and high reuse.
The article outlines how digital, networked, and intelligent technologies enable enterprises to fuse data, compute, and algorithms, restructure business architecture and organization, and build a modular digital platform with scenario‑driven applications, service‑oriented capabilities, integrated data, componentized technology, and shared resources to achieve agile innovation and resource optimization.
This article shares seven actionable insights—from demand management and platform design to verification, collaboration, branding, and growth challenges—drawn from Ant Group’s experience building AI‑driven platforms, illustrating how product managers can turn abstract methods into concrete, user‑centric solutions.
This article presents a detailed case study of NetEase Cloud Music’s real‑time analytics platform built on Kafka and Flink, covering background, architectural choices, platform‑level design, operational challenges, solutions such as the Magina framework, and a Q&A on reliability and monitoring.
This article outlines the step‑by‑step approach to constructing a big data platform—starting with script toolization, evolving through tool services, platformization, and productization, comparing business‑scenario and generic‑component construction methods, and detailing the Lambda architecture for data collection, processing, and visualization to drive business operations.
This article presents NetEase Cloud Music's real‑time computing platform built on Flink and Kafka, covering background, architectural design, Kafka and Flink selection reasons, platformization, warehouse usage, encountered challenges, and the solutions implemented to improve reliability and performance.
Simulation enables low‑cost, time‑agnostic testing of e‑commerce supply‑chain strategies—covering procurement, inter‑warehouse allocation, and order dispatch—by combining precedent, experimentation, and modeling, offering a more flexible and comprehensive alternative to AB‑testing for evaluating policies, algorithms, and configurations.
This article describes ByteDance’s multi‑generation chaos engineering practice, covering industry background, fault‑injection models, the design of a declarative fault‑center, experiment selection principles, detailed experiment processes, metric classifications, red‑blue war‑game workflows, strong/weak dependency analysis, and future directions for infrastructure‑level chaos engineering.
This article outlines the design, architecture, and key features of an IBPM workflow platform, detailing its background, core concepts, design principles, extensibility, and future direction for creating a configurable, integrated, and intelligent business process management solution.
This article explains how Fangdd leverages Elasticsearch to boost search performance across consumer, broker, and internal products, detailing a platformized architecture that separates indexing and querying, addresses operational challenges, and outlines design patterns for index management and incremental updates.
This article explains how to move beyond naive copy‑paste development of lottery back‑ends by abstracting business logic into a reusable platform, covering database sharding, micro‑service architecture, common and custom modules, performance, deployment, and security considerations for a robust, SaaS‑like solution.
The article explains how JD.com’s Tongtian Tower platform enables non‑technical operators to create activity pages through a React‑based visual editor, detailing its background, design goals, component architecture, template definition, data handling, quality assurance measures, and future development directions.
This article examines VIPshop's evolution from a simple LAMP‑based outlet site to a multi‑layered, service‑oriented e‑commerce platform, detailing its business model shifts, architectural milestones, key design principles, and governance strategies for building a flexible, high‑availability operation system.
This article describes Ctrip's large‑scale predictive outbound call platform, covering its underlying algorithms, SoftPBX integration, system architecture, concurrency enhancements, deployment experience, and measurable improvements in call success rates and agent efficiency.
An in‑depth overview of Tencent’s Blue Whale system reveals its positioning, design philosophy, PaaS and SaaS components, and how it enables scalable, unmanned operations across cloud and on‑premise environments, illustrating practical automation stages from scripting to intelligent orchestration.
This article examines VIPshop’s business model evolution and the technical transformation of its e‑commerce platform, detailing the shift from a single‑application LAMP monolith through vertical and distributed architectures to a cloud‑native, service‑oriented design, and outlines the key governance, scalability and operational challenges addressed along the way.
