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This article describes the background, challenges, technical research, architectural design, module implementation, performance testing, and lessons learned when building a Golang‑based, high‑concurrency, easily extensible proxy to replace twemproxy for Weibo's recommendation system.
This article introduces OWL, a distributed, enterprise‑grade monitoring solution that combines infrastructure and business metrics, offers floating alert rules, customizable dashboards, visual asset management, a resilient Golang‑based agent, and a parallel‑scalable HBase storage backend.
This article explores how DeWu's community activity platform evolved from ad‑hoc implementations to a componentized, event‑driven backend using OOP principles, modular design, rule engines, and observer‑hook mechanisms, while also outlining future AI‑driven optimizations and system‑wide standardization.
The unified exchange mall middleware platform consolidates disparate points‑redemption and lottery flows into a four‑layer architecture—business, gameplay templates, domain models, and downstream services—offering standardized APIs, dynamic RPC routing, Redis‑based inventory control, anti‑fraud safeguards, and built‑in monitoring, thereby cutting development costs, enhancing maintainability, and ensuring system stability.
Rate limiting protects micro‑service stability by rejecting excess traffic, using algorithms such as fixed‑window, sliding‑window, leaky‑bucket and token‑bucket, and can be deployed locally or distributed via Redis, load‑balancers, or coordination services, each offering different trade‑offs in precision, scalability, and complexity.
This article introduces Bloom filters and Cuckoo filters, explains their probabilistic nature, false‑positive behavior, space‑time trade‑offs, provides Go and Java implementation examples, and discusses practical use cases such as Redis extensions and high‑traffic e‑commerce scenarios.
This article explores the core competencies of backend engineers, emphasizing accurate problem abstraction, discusses Go's ServerCodec and I/O interfaces, demonstrates algorithmic solutions to the Word Search II problem, and offers practical advice on improving coding skills through studying language features, system design, and effective learning habits.
Rate limiting safeguards system stability by capping request rates, employing algorithms such as fixed‑window, sliding‑window, leaky‑bucket, and token‑bucket, and can be applied at application, proxy, or hardware layers while using strategies like threshold setting, request classification, feedback, and ensuring fairness, flexibility, and transparency.
The article outlines nine broadly applicable techniques—caching, parallel and batch processing, data compression, lock‑free design, sharding, eliminating unnecessary requests, and resource pooling—that together can dramatically cut service latency and improve throughput, as demonstrated by an 80% latency reduction in a real‑world project.
This course covers Nginx installation, process control, reload, configuration loading, static service, HTTP and gRPC reverse proxy, load balancing, and demonstrates building simple static servers in Go, Python, PHP, C, and C++ to deepen understanding of Nginx’s core principles.