Official G7 EasyFlow tech channel! All the hardcore tech, cutting‑edge innovations, and practical sharing you want are right here.
This article explores how service availability is quantified, explains the impact of MTBF and MTTR on reliability, and presents concrete operational practices—including redundancy, traffic control, and change‑management techniques—to move systems from basic uptime to true high‑availability levels.
This article outlines the key characteristics of large‑model enterprise applications, compares them with consumer use cases, and presents a comprehensive engineering roadmap—including model selection, knowledge‑base integration, tool implementation, intent recognition, output control, high‑availability deployment, and ongoing optimization—to help practitioners effectively harness AI models in real‑world business environments.
This article shares G7 Tech’s practical experience of exposing Kafka to the public internet, covering encryption, AAA, three authentication schemes, listener configuration, scaling for massive topics with Kubernetes, storage optimization, and integration with the gmq management platform and Kafka‑REST.
This article explains why causal inference is essential for decision‑making, contrasts it with pure prediction, outlines the four DoWhy steps (modeling, identification, estimation, refutation), and demonstrates a case study on road freight accidents using DoWhy and EconML with code examples and results.
After moving IoT services to Kubernetes, containers were OOM‑killed despite RSS staying below limits because Kubernetes bases OOM decisions on the Working Set Size (WSS) metric, which includes file cache, and the article explains its calculation, reproduces the issue, and offers practical mitigation strategies.
This article outlines G7's early-stage exploration of truck underwriting risk modeling, detailing data foundations, modeling objectives, key challenges such as target diversity and claim randomness, and proposes practical solutions across data sampling, feature engineering, model structure, and regionalization to improve risk assessment.
This article explains a lightweight, loosely‑coupled solution for real‑time monitoring of HLS video playback in vehicle IoT, detailing how to embed device and session identifiers in HLS requests, modify M3U8 files, and collect statistics with NGINX Lua scripts.
Using a road freight accident prediction example, the article warns that interpreting predictive model explanations as causal effects can be misleading, explains when such models may answer causal questions, demonstrates SHAP analysis on an XGBoost model, and recommends causal inference tools like ecoml for reliable effect estimation.
This article reviews the most common IoT communication protocols—MQTT, CoAP, HTTP, XMPP, and SOAP—explaining their architectures, key features, message models, and practical differences to help developers choose the most suitable protocol for their IoT applications.
This article explains how focusing on three key questions during incident post‑mortems, balancing business speed with system stability, and establishing clear SLOs can turn failures into actionable improvements and better fault‑tolerance strategies.
