Official G7 EasyFlow tech channel! All the hardcore tech, cutting‑edge innovations, and practical sharing you want are right here.
This article explains the G7 IoT platform's comprehensive automated testing framework, covering use‑case design, full‑link coverage, data validation strategies, keyword encapsulation, and thread‑group isolation to achieve high‑quality, rapid releases for complex IoT systems.
The cloud native tech salon in Chengdu gathered experts from Meituan, Huawei, and G7 to discuss platform evolution, container innovations, and the convergence of cloud native with IoT, while showcasing sponsor support, a book signing, and vibrant community activities.
This article presents a detailed overview of G7's AI‑plus‑Big‑Data‑plus‑IoT platform for logistics, describing its neutral open architecture, real‑time data pipelines using Kafka and Flink, Lambda‑style storage in HBase/Hive, and the resulting safety‑insurance and analytics capabilities.
This article introduces the G7 vehicle IoT platform, explains the three main truck categories, details the Smart, Router, and peripheral product series, and provides a step‑by‑step guide for installing and configuring the hardware to improve safety and efficiency.
This article details the Mobile Service “秒开” project’s three‑step performance optimization, covering data‑driven monitoring, HTTP/2 features like header compression and multiplexing, long‑connection architecture with WebSocket, and an asynchronous caching component that together dramatically improve response times and reliability for mobile clients.
This article explains how an intelligent algorithm identifies the exact start and end points of vehicle loading and unloading actions using specialized acceleration features, improving platform utilization, dispatch accuracy, and overall logistics performance while achieving over 95% detection accuracy.
This article explains how the IoT business platform adopts Alibaba Sentinel to provide circuit breaking and rate‑limiting for Dubbo microservices, integrates with Apollo for centralized rule distribution, implements automatic downgrade, thread isolation, and cache‑based degradation to improve system reliability and resilience.
By iteratively redesigning the fatigue‑event detection pipeline and leveraging Apache Flink’s stateful stream processing, the team reduced network overhead, cut resource usage to a third, and achieved a stable 45,000 TPS throughput on six containers with 20 GB memory, while outlining three optimization phases and practical lessons.
This article explains why systematic logging is essential for production debugging, introduces a practical log classification and field schema, describes trace‑ID propagation and performance instrumentation, and walks through building an ELK‑based log collection, storage, and real‑time visualization platform for reliable observability.
This article explains how disk I/O performance is shaped by page cache behavior, sequential versus random access, elevator scheduling, and storage data structures such as B+Tree and LSM trees, showing why operating systems and databases must design for sequential reads and writes to achieve optimal throughput.
