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This article explains the concept of false sharing caused by CPU cache line interactions, demonstrates how cache padding can mitigate the performance penalty, and provides Go benchmark code and results to illustrate the impact on multi‑core concurrency.
This article explores Go naming conventions, covering directory, package, and file naming rules, practical examples, community consensus, and personal recommendations to help developers create clear, maintainable project structures.
This article explains the principles and recommended layout for organizing a large Go web project, covering readability, extensibility, standard Go project layout, and detailed descriptions of directories such as /cmd, /internal, /pkg, /configs, /deployments, and supporting files to improve maintainability and scalability.
This article explains the motivation, architecture, resource estimation, code generation algorithms, data modeling, database partitioning, caching strategies, and implementation details for building a scalable short URL system that handles billions of links and high QPS workloads.
This article explains the importance of rate limiting in microservice architectures, introduces four basic algorithms—fixed window, sliding window, leaky bucket, and token bucket—compares their advantages and disadvantages, and presents both single-machine and distributed implementations with Go code examples.
This article introduces the Go third‑party flag package pflag, detailing its POSIX/GNU‑style features, basic and advanced usage, flag syntax, name normalization, NoOptDefVal handling, deprecation/hiding mechanisms, and how to mix it with the standard flag package.
This article explores why rate limiting is essential for high‑concurrency services, introduces four core algorithms with Go implementations, compares their strengths and weaknesses, and presents practical distributed limiting strategies using Redis, load balancers, and coordination services.
This guide explains why rate limiting is essential for micro‑service stability, outlines six design principles, details four classic algorithms—fixed window, sliding window, leaky bucket, and token bucket—and compares centralized Redis, load‑balancer cache, and coordination‑service distributed solutions.
This article introduces Karta, a lightweight Go library that provides two modes—Pipeline for unknown‑size asynchronous tasks and Group for known‑size batch tasks—offering a concise API, configurable workers, and built‑in callbacks to simplify high‑performance concurrent processing in backend applications.
This article details Baidu’s internally built unified long‑connection service in Go, covering its motivation, architecture, functional implementation, performance optimizations, multi‑business support, deployment strategy, and lessons learned for delivering secure, high‑concurrency, low‑latency real‑time connectivity across mobile applications.