UCloud is a leading neutral cloud provider in China, developing its own IaaS, PaaS, AI service platform, and big data exchange platform, and delivering comprehensive industry solutions for public, private, hybrid, and dedicated clouds.
The article details the background, user pain points, and technical design of UCloud’s Cube serverless container product, explaining its firecracker‑based runtime, cri‑o integration, Kubernetes scheduling, storage and network solutions, and future optimization plans.
This case study details how the Tangdou square‑dance app leveraged big‑data analytics, cloud deployment, and performance testing to solve user‑acquisition, crash‑handling, and operational challenges, ultimately achieving rapid growth and a robust, scalable data‑driven platform.
This article explains how UCloud reduced its data center Power Usage Effectiveness to around 1.3 through advanced cooling technologies, energy‑efficient UPS, modeling, and other green measures, while also reviewing international benchmarks and China’s regulatory targets for sustainable data centers.
This article explains why Kubernetes was chosen, describes the overall architecture, high‑availability master design, multi‑IDC cluster deployment, logging, monitoring, service exposure, image building, lifecycle hooks, CI/CD, multi‑cluster management, encountered challenges, and future plans for operators and automated scaling.
This article details how the Chinese travel platform “要出发” transformed its Spring Cloud‑based micro‑service architecture to a UK8S‑powered Kubernetes environment, introducing Spring Cloud Kubernetes discovery, Prometheus JVM monitoring, HPA‑driven autoscaling, Elastic APM tracing, and Istio service governance to achieve higher elasticity, observability, and operational efficiency.
This article details the development, testing, and patch contributions for Netfilter and Mellanox flowtable hardware offload, showing how offloading conntrack and NAT functions dramatically improves bandwidth and packet‑per‑second metrics while exposing remaining challenges such as neighbor handling and port mangling.
A detailed case study reveals why PyTorch training on UFS file storage suffers severe I/O bottlenecks, compares it with local SSD and SSHFS, and presents practical optimizations such as using cv2.imdecode, caching DataLoader handles, and converting small‑file datasets into large UFS files to close the performance gap.
During the COVID‑19 school closures, the education platform rapidly expanded its backend and database architecture, achieving a 20‑fold traffic increase through vertical upgrades, read/write separation, high‑availability redesign, and meticulous performance tuning, all within a few days of planning and execution.
A Chinese game studio faced a massive 300 GB DDoS ransom attack, refused to pay, and, with UCloud's elastic high‑availability and Anycast cleaning technologies, repelled the assault while detailing the attackers' methods and offering a public‑cloud DDoS mitigation guide.
This article details UCloud's engineering of API and SDK management—including unified modeling, code generation, automated testing, and CI/CD pipelines—to dramatically improve the stability, reliability, and release efficiency of its public cloud services.
