Discussion and exchange on system, internet, large‑scale distributed, high‑availability, and high‑performance architectures, as well as big data, machine learning, AI, and architecture adjustments with internet technologies. Includes real‑world large‑scale architecture case studies. Open to architects who have ideas and enjoy sharing.
This article explores the classic architecture triangle of performance, cost, and flexibility, offering real‑world examples, code snippets, and a decision‑matrix framework to help engineers evaluate trade‑offs and choose optimal solutions across MVP, growth, and mature stages.
Amid rapid AI breakthroughs, mature cloud‑native infrastructure, and rising edge computing, architects must adopt platform engineering, event‑driven and composable architectures, and AI‑native designs, while evolving technical and soft skills to meet escalating business complexity and guide technology selection over the next five years.
This article examines the technical essence, drivers, challenges, and practical solutions—including Kubernetes, service mesh, and Terraform—for building secure, cost‑effective multi‑cloud and hybrid cloud architectures while avoiding vendor lock‑in.
This article examines the core evaluation criteria for enterprise message queues and provides a detailed comparison of Kafka, RabbitMQ, and Pulsar—including performance, reliability, scalability, operational complexity, ecosystem maturity, and business fit—offering actionable guidance for selecting the optimal solution in cloud‑native environments.
This article explains how to design elastic scaling architectures on cloud platforms—combining horizontal, vertical, and functional scaling, leveraging Kubernetes autoscaling features, predictive scaling, mixed instance strategies, and cost‑monitoring practices—to handle traffic spikes while minimizing expenses.
This article examines why many DDD projects default to anemic models, identifies scenarios where DDD adds real value, and provides practical strategies—including aggregate redesign, event‑driven consistency, and incremental refactoring—to successfully implement Domain‑Driven Design in complex backend systems.
This article examines the true cost‑saving potential of Serverless architectures, explains when they shine, breaks down direct and hidden expenses, warns about common pitfalls, and offers a step‑by‑step migration guide for teams considering the shift.
This article reveals the hidden pitfalls of popular frameworks, explains why over‑hyped promises often lead to massive redesign costs, and provides a practical evaluation matrix and best‑practice checklist to help teams choose stable, maintainable technologies for long‑term project success.
An in‑depth comparison reveals how state‑owned enterprise architects work on multi‑year, documentation‑heavy projects with conservative tech stacks, while internet company architects operate under rapid, agile cycles, embracing cutting‑edge tools, flat collaboration, and high‑pressure environments, highlighting distinct values, career paths, and skill demands.
After analyzing thousands of Chinese projects, the article reveals seven pervasive architecture design pitfalls—overreliance on frameworks, chasing trends, neglecting domain modeling, ignoring evolution, overlooking non‑functional requirements, lacking team standards, and weak testing—offering practical guidance to adopt business‑driven, scalable, maintainable designs.
