Official account for High Availability Architecture.
This article explains how AI large models such as ChatGPT can assist developers throughout the full workflow—from requirement analysis, technical design, and code generation to testing, deployment, and operations—while highlighting practical tips, potential pitfalls, and security considerations.
This article introduces Amiya, a self‑developed overcommit component that dynamically increases Yarn memory and vCore capacity on Bilibili's offline big‑data clusters, details its architecture, key implementation of overcommit, eviction and mixed‑deployment strategies, and evaluates its resource‑utilization impact.
This article explains why distributed locks are needed, outlines their five essential properties, compares common implementation methods such as database, ZooKeeper, and Redis locks, and provides Java code examples for acquiring, releasing, re‑entering, and safely extending locks with watchdog mechanisms.
This article describes the design, algorithmic improvements, and engineering performance optimizations of Bilibili's massive video duplicate detection (collision) system, covering challenges of low‑edit‑degree reposts, two‑stage retrieval, self‑supervised feature extraction, GPU‑accelerated preprocessing, and the resulting gains in accuracy and throughput.
This article explains how Tencent’s internal high‑availability service curriculum emphasizes architecture boundaries, unified protocol definitions using JCE, a unified PushAPI, monitoring and feedback mechanisms, and the organizational impact of aligning system and team boundaries to achieve scalable, reliable backend services.
This case study describes how Hangzhou Mingshitang transformed its homework photo evaluation system from a Kubernetes‑based solution to an Alibaba Cloud Function Compute serverless architecture, achieving higher elasticity, lower latency, and reduced costs while handling peak traffic of over one million daily images.
The article describes Punica, a cloud‑native, function‑as‑a‑service platform that unifies content‑understanding inference services through a one‑stop portal and unattended operations, improving deployment speed, resource utilization, and reducing manual effort for AI model serving.
The article explains the definition of refactoring, why it is essential for development efficiency and risk reduction, and presents concrete refactoring techniques such as removing duplicate code, adding meaningful comments, simplifying complex conditions, extracting methods, and semanticizing fixed rules, all illustrated with real Java code examples.
This article presents a comprehensive guide to improving Java code quality by emphasizing simplicity, leveraging language features, consolidating similar logic, and structuring APIs to clearly distinguish required and optional parameters, illustrated with side‑by‑side bad and good implementations and practical recommendations.
This article details vivo's low‑code platform experience, covering a front‑end/back‑end separated low‑code solution, a self‑built high‑performance rendering engine, efficient visual configuration methods, billion‑scale content delivery, and how low‑code coexists with traditional development to boost productivity and scalability.
