Official account of CoolHome R&D Department, sharing technology and innovation.
This article shares a step‑by‑step case study of how an agile coach transformed a team anniversary celebration into a focused workshop that sparked open dialogue, strengthened collaboration, and delivered measurable improvements in team spirit and performance.
This article introduces the fundamentals of rate limiting, compares common algorithms such as counter, leaky bucket, and token bucket, delves into Guava's RateLimiter design and its SmoothBursty and SmoothWarmingUp implementations, and provides practical Java code examples for quick integration.
This article examines the performance problems of a custom microservice gateway—including high CPU usage and frequent Full GCs—detailing root‑cause analysis, trie‑based URL routing, regex optimization, and further architectural improvements to enhance scalability and reliability.
This article chronicles the evolution of KuJiaLe's ExaCloud rendering platform from its 2013 GPU‑based prototype to a multi‑IDC, 2000‑node distributed system, detailing architectural redesigns, load‑balancing strategies, hybrid CPU/GPU processing, and operational lessons learned to achieve high‑throughput cloud rendering.
This tutorial walks through a complete, automated workflow for turning an Electron project into installable Windows .exe/.msi and macOS .dmg packages, covering directory structure, configuration, building, code signing, installer creation, and release steps using Gulp and related tools.
This article explains a practical pipeline for extracting dominant colors from product images—using image resizing, MeanShift and FloodFill segmentation, region merging, Gaussian weighting, selection, and CIELab-based tagging—enabling accurate color-based search in e‑commerce platforms.
This article explains why an intermediate data structure is needed for 3D rendering in a React‑like Virtual DOM environment, how to keep it reactively synchronized with raw graph data using dependency analysis, proxies, and conversion functions, and the performance benefits of minimal partial updates.
This article details how Vimur, a Kafka‑based real‑time data pipeline, addresses the challenges of service splitting, database sharding, data migration, and synchronization by using CDC, a unified Avro format, and a change distribution platform to support search indexing, cache refresh, and reactive architectures.
