This article presents a step‑by‑step architecture for a high‑traffic flash‑sale system that filters 99.9% of requests before the database, using layered front‑end, gateway, cache, message‑queue, and stateless scaling techniques to achieve over 100,000 TPS with strong consistency and availability.
The article explains the different kinds of coupling in microservice communication, compares RPC and event‑driven (event notification and event sourcing) approaches, discusses API gateways, service versioning, and offers practical guidance on when to use each method while highlighting the challenges of tight coupling and internal microservice design.
This article provides an in‑depth overview of modern backend architecture, covering microservice fundamentals, service mesh concepts, observability pillars, messaging queue choices, and practical design considerations such as service registration, configuration centers, and security mechanisms.
The Baidu Aifanfan lead list page evolved through six versions—from rapid MySQL‑based delivery to a metadata‑driven, ES‑backed architecture with Redis synchronization—culminating in a high‑availability, high‑performance system that slashed server latency from 25 seconds to under one second and cut frontend load times and static asset sizes dramatically.
This article provides a detailed overview of modern backend architecture, covering microservice fundamentals, design principles such as Conway's Law and DDD, gateway patterns, communication protocols, service registration, configuration management, observability pillars, service mesh options, and a comparative analysis of popular message‑queue technologies.
This article walks through the complete lifecycle of transforming a simple online‑store monolith into a full‑blown microservice system, covering the initial requirements, emerging problems, service decomposition, monitoring, tracing, logging, gateway, service discovery, circuit breaking, testing, framework choices, and the eventual adoption of a service mesh.
This article describes the design, implementation, and performance testing of a simulated WeChat red‑packet service capable of handling up to 100 billion requests, detailing target load calculations, hardware and software choices, concurrency strategies in Go, monitoring tools, and experimental results across multiple QPS levels.
