Practical internet development experience, tech sharing, knowledge consolidation, and forward-thinking insights.
This article explains the concept of Cross-Origin Resource Sharing (CORS), the same‑origin policy, how simple and preflight requests work, and demonstrates configuring a Koa server and client‑side settings—including credentials and header handling—to enable secure cross‑origin communication.
This article demonstrates how the open‑source Java diagnostic tool Arthas can be employed in various production scenarios—such as CPU spikes, class‑loading conflicts, method‑level monitoring, performance bottlenecks, and hot‑code replacement—to rapidly locate and resolve runtime problems without restarting services.
This article details the background, performance and stability requirements, strategic approach, and concrete initiatives—including full‑chain load testing, chaos engineering, monitoring, and targeted optimization projects—that were undertaken to boost the performance by over 300% and improve high‑availability of the continuation enrollment platform.
A Chrome WebGL application showed single‑digit frame rates because pixi.js set failIfMajorPerformanceCaveat to true, and the integrated Intel GPU driver was missing, which was fixed by installing the correct Intel UHD Graphics driver, restoring 60 fps performance.
This guide walks you through setting up a GitLab CI environment, configuring a Docker‑enabled runner, writing Dockerfile and .gitlab-ci.yml files, and automating code compilation, container image creation, and deployment of a Go application, complete with command examples and troubleshooting tips.
The article outlines XdfRTC's high‑concurrency, global coverage, low‑latency, elastic scaling and multi‑platform support features, then details the evolution of RTC media forwarding architectures—including MESH, MCU, SFU, mesh‑based, and hierarchical designs—highlighting their schemes, advantages, and drawbacks.
The article details how New Oriental's Cloud Classroom backend, built with Java, Spring, MySQL, Redis, Kafka, Sentinel, and other modern technologies, scaled to support millions of users and a hundred‑fold surge in demand during the pandemic through architectural optimizations, distributed caching, traffic control, and rapid performance improvements.
