project
A Flask server-health dashboard covering the full path from data in to alerts out. Open the page and you get a demo analysis; you can also upload your own CSV / JSON.
Demo and sample data are based on the Kaggle LogHub datasets (original course-assignment log sources):
Processed into server performance metrics for this board; demo_with_issues.csv injects missing values and duplicate rows on top of real data to show cleaning.
Monitoring is ops’ eyes. Small as this project is, it made me walk “collect → clean → decide → present” by hand — so when I look at Zabbix or Prometheus later, the underlying idea still matches.
Live demo — homepage already loads demo data.
一个用 Flask 搭建的服务器健康监控看板，覆盖从数据进入到告警展示的完整链路。打开页面即展示演示分析结果，也支持上传自己的 CSV / JSON。
演示与真实样本数据基于 Kaggle LogHub 数据集（课程作业原始日志来源）：
经加工为服务器性能指标后用于本看板展示；demo_with_issues.csv 在真实数据基础上注入了缺失值与重复行，用于演示清洗能力。
监控是运维的眼睛。这个项目虽然小，但让我把「采集 → 清洗 → 判断 → 呈现」这条监控的基本逻辑亲手走通了一遍——之后再看 Zabbix、Prometheus 这些工业级方案时，底层思路是相通的。
在线演示 可直接体验，首页已预载演示数据。