This guide introduces Netdata, an open‑source real‑time monitoring solution, outlines its key features, and provides step‑by‑step installation instructions for Linux and Docker, along with configuration of auto‑discovery, alerts, core metrics, and UI previews.
The article presents a visual monitoring system for the Caffeine Java cache that adds instance naming, memory‑usage estimation, dynamic size and expiration configuration, real‑time statistics and data queries, and a Jetty‑based HTTP control panel, enabling global cache management, trend charts, and on‑the‑fly cache invalidation.
This article outlines the design and implementation of a near‑real‑time metric management platform at Liulishuo, detailing its data flow—from Kafka ingestion through Flink‑SQL processing into Hudi tables, Trino querying, metric configuration, lineage, visualization, alerting, scheduling, and future optimization plans.
This step‑by‑step guide shows how to install Ruby, add the Scout_Realtime gem, start its daemon, configure firewall access, view real‑time metrics in a web browser, and manage logs, stopping or uninstalling the tool on Linux servers.
This article explains why manufacturing firms need cross‑level real‑time performance metrics, outlines key enterprise roles, presents reference architectures for system integration, MES functions, event‑driven mechanisms, communication protocols, and data collection and aggregation components.
