\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/
\n #content_views .toc,
\n \/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/
\n #content_views.markdown_views > p:empty:has(+ .toc),
\n #content_views.markdown_views > .toc + p:empty,
\n \/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/
\n #content_views.htmledit_views #main-toc,
\n #content_views.htmledit_views #hr-toc,
\n #content_views.htmledit_views p[id*=\\”-toc\\”] {
\n display: none !important;
\n }
\n \/* \u76ee\u5f55\u53bb\u6389\u540e\uff0c\u7d27\u8ddf\u7684\u9996\u4e2a\u6807\u9898\u4e0d\u518d\u591a\u51fa\u4e00\u5757\u4e0a\u8fb9\u8ddd *\/
\n #content_views.markdown_views > .toc + h1,
\n #content_views.markdown_views > .toc + h2,
\n #content_views.markdown_views > .toc + h3,
\n #content_views.markdown_views > .toc + h4,
\n #content_views.markdown_views > .toc + p:empty + h1,
\n #content_views.markdown_views > .toc + p:empty + h2,
\n #content_views.markdown_views > .toc + p:empty + h3,
\n #content_views.markdown_views > .toc + p:empty + h4 {
\n margin-top: 0 !important;
\n }<\/p>\n
\u5728\u5f53\u4eca\u6570\u5b57\u5316\u65f6\u4ee3，\u4f01\u4e1a IT \u7cfb\u7edf\u65e5\u76ca\u590d\u6742，\u670d\u52a1\u5668\u3001\u5e94\u7528\u548c\u6570\u636e\u5e93\u7684\u7a33\u5b9a\u6027\u76f4\u63a5\u5f71\u54cd\u4e1a\u52a1\u8fde\u7eed\u6027\u3002\u4f20\u7edf\u5de1\u68c0\u4f9d\u8d56\u4eba\u5de5\u64cd\u4f5c，\u6548\u7387\u4f4e\u3001\u6613\u51fa\u9519，\u4e14\u65e0\u6cd5\u5b9e\u65f6\u76d1\u63a7\u5168\u94fe\u8def\u5065\u5eb7\u72b6\u6001\u3002\u5168\u94fe\u8def\u81ea\u52a8\u5316\u5de1\u68c0\u901a\u8fc7\u5de5\u5177\u5982 OpenClaw，\u5b9e\u73b0\u4ece\u57fa\u7840\u8bbe\u65bd\u5230\u5e94\u7528\u5c42\u7684\u65e0\u7f1d\u76d1\u63a7，\u81ea\u52a8\u751f\u6210\u62a5\u544a\u548c\u6574\u6539\u5efa\u8bae，\u63d0\u5347\u8fd0\u7ef4\u6548\u7387\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u89e3\u6790 OpenClaw \u5982\u4f55\u5b9e\u73b0\u670d\u52a1\u5668\u3001\u5e94\u7528\u3001\u6570\u636e\u5e93\u7684\u5168\u94fe\u8def\u5de1\u68c0，\u8986\u76d6\u539f\u7406\u3001\u5b9e\u65bd\u6b65\u9aa4\u3001\u6848\u4f8b\u53ca\u4f18\u5316\u5efa\u8bae，\u786e\u4fdd\u5185\u5bb9\u4e13\u4e1a\u3001\u5b9e\u7528\u3002<\/p>\n
\u5168\u94fe\u8def\u81ea\u52a8\u5316\u5de1\u68c0\u6307\u5bf9 IT \u7cfb\u7edf\u5404\u5c42（\u5982\u670d\u52a1\u5668\u786c\u4ef6\u3001\u64cd\u4f5c\u7cfb\u7edf\u3001\u4e2d\u95f4\u4ef6\u5e94\u7528\u3001\u6570\u636e\u5e93）\u8fdb\u884c\u7edf\u4e00\u76d1\u63a7\u548c\u8bca\u65ad\u7684\u8fc7\u7a0b\u3002\u5176\u6838\u5fc3\u76ee\u6807\u662f\u901a\u8fc7\u81ea\u52a8\u5316\u51cf\u5c11\u4eba\u5de5\u5e72\u9884，\u5b9e\u73b0：<\/p>\n
\u4f8b\u5982，\u670d\u52a1\u5668\u5c42\u5de1\u68c0\u5173\u6ce8\u786c\u4ef6\u72b6\u6001，\u516c\u5f0f\u5316\u8868\u793a\u4e3a：
\n$$U_{cpu} = \\\\frac{\\\\text{\u5de5\u4f5c\u65f6\u95f4}}{\\\\text{\u603b\u65f6\u95f4}} \\\\times 100%$$
\n\u5176\u4e2d $U_{cpu}$ \u662f CPU \u5229\u7528\u7387，\u9700\u4fdd\u6301\u5728\u9608\u503c\u5185（\u5982 $U_{cpu} < 80%$）\u3002<\/p>\n
\u5168\u94fe\u8def\u5de1\u68c0\u7684\u4ef7\u503c\u5728\u4e8e：<\/p>\n
OpenClaw \u662f\u4e00\u4e2a\u5f00\u6e90\u81ea\u52a8\u5316\u5de1\u68c0\u6846\u67b6，\u652f\u6301\u8de8\u5e73\u53f0\u90e8\u7f72，\u6838\u5fc3\u529f\u80fd\u5305\u62ec：<\/p>\n
OpenClaw \u7684\u4f18\u52bf：<\/p>\n
\u90e8\u7f72 OpenClaw \u9700\u73af\u5883：<\/p>\n
\u670d\u52a1\u5668\u5de1\u68c0\u805a\u7126\u786c\u4ef6\u548c OS \u5065\u5eb7\u72b6\u6001，OpenClaw \u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u81ea\u52a8\u5316：<\/p>\n
OpenClaw \u4f7f\u7528\u4ee3\u7406\u811a\u672c\u6536\u96c6\u6570\u636e：<\/p>\n
\u793a\u4f8b\u91c7\u96c6\u811a\u672c（Python）：<\/p>\n
import psutil
\ndef collect_server_metrics():
\n cpu_percent = psutil.cpu_percent(interval=1)
\n mem = psutil.virtual_memory()
\n disk = psutil.disk_usage('\/')
\n return {
\n 'cpu_usage': cpu_percent,
\n 'mem_used': mem.percent,
\n 'disk_free': disk.free \/ disk.total * 100
\n } <\/p>\n
\u5728 OpenClaw \u914d\u7f6e\u6587\u4ef6\u4e2d\u5b9a\u4e49\u9608\u503c\u89c4\u5219：<\/p>\n
rules:
\n – metric: cpu_usage
\n condition: >
\n threshold: 80
\n alert: "CPU \u8fc7\u8f7d，\u9700\u4f18\u5316\u8fdb\u7a0b"
\n – metric: disk_free
\n condition: <
\n threshold: 10
\n alert: "\u78c1\u76d8\u7a7a\u95f4\u4e0d\u8db3，\u5efa\u8bae\u6e05\u7406" <\/p>\n
OpenClaw \u8c03\u5ea6\u5668\u5b9a\u65f6\u6267\u884c\u5de1\u68c0（\u5982\u6bcf 5 \u5206\u949f），\u516c\u5f0f\u5316\u8c03\u5ea6\u5468\u671f：
\n$$T_{interval} = \\\\frac{1}{f_{scan}}$$
\n\u5176\u4e2d $f_{scan}$ \u662f\u5de1\u68c0\u9891\u7387\u3002<\/p>\n
\u5e38\u89c1\u95ee\u9898\u53ca\u6574\u6539：<\/p>\n
\u5e94\u7528\u5de1\u68c0\u786e\u4fdd\u4e1a\u52a1\u670d\u52a1\u53ef\u7528\u6027，\u8986\u76d6 Web \u670d\u52a1\u3001API\u3001\u5fae\u670d\u52a1\u7b49\u3002<\/p>\n
OpenClaw \u96c6\u6210\u5e94\u7528\u76d1\u63a7：<\/p>\n
\u793a\u4f8b API \u68c0\u67e5\u811a\u672c：<\/p>\n
import requests
\ndef check_app_health(url):
\n try:
\n response = requests.get(url, timeout=5)
\n return {
\n 'status_code': response.status_code,
\n 'response_time': response.elapsed.total_seconds()
\n }
\n except Exception as e:
\n return {'error': str(e)} <\/p>\n
\u914d\u7f6e\u5e94\u7528\u89c4\u5219：<\/p>\n
rules:
\n – metric: response_time
\n condition: >
\n threshold: 2.0
\n alert: "API \u54cd\u5e94\u5ef6\u8fdf\u9ad8，\u9700\u4f18\u5316"
\n – metric: error_rate
\n condition: >
\n threshold: 1.0
\n alert: "\u9519\u8bef\u7387\u8d85\u6807，\u68c0\u67e5\u65e5\u5fd7" <\/p>\n
\u6570\u636e\u5e93\u5de1\u68c0\u4fdd\u969c\u6570\u636e\u4e00\u81f4\u6027\u548c\u6027\u80fd，\u652f\u6301 MySQL\u3001PostgreSQL \u7b49\u3002<\/p>\n
OpenClaw \u8fde\u63a5\u6570\u636e\u5e93\u6536\u96c6：<\/p>\n
\u516c\u5f0f\u5316\u6027\u80fd\u6a21\u578b：
\n$$P_{db} = \\\\frac{Q_{success}}{Q_{total}}$$
\n\u5176\u4e2d $P_{db}$ \u662f\u67e5\u8be2\u6210\u529f\u7387\u3002<\/p>\n
\u6570\u636e\u5e93\u89c4\u5219\u914d\u7f6e：<\/p>\n
rules:
\n – metric: query_time
\n condition: >
\n threshold: 0.5
\n alert: "\u67e5\u8be2\u6162，\u9700\u7d22\u5f15\u4f18\u5316"
\n – metric: active_connections
\n condition: >
\n threshold: 80
\n alert: "\u8fde\u63a5\u6570\u63a5\u8fd1\u4e0a\u9650，\u5efa\u8bae\u8c03\u6574" <\/p>\n
OpenClaw \u6574\u5408\u5404\u5c42\u5de1\u68c0，\u5b9e\u73b0\u7aef\u5230\u7aef\u81ea\u52a8\u5316：<\/p>\n
\u5168\u94fe\u8def\u6d41\u7a0b：<\/p>\n
\u6570\u5b66\u8868\u793a\u5168\u94fe\u8def\u5065\u5eb7\u5ea6：
\n$$H_{total} = w_1 H_{server} + w_2 H_{app} + w_3 H_{db}$$
\n\u5176\u4e2d $w_i$ \u662f\u6743\u91cd，$H_i$ \u662f\u5404\u5c42\u5065\u5eb7\u5206\u6570\u3002<\/p>\n
\u914d\u7f6e\u6587\u4ef6\u5b9a\u4e49\u5168\u94fe\u8def\u4efb\u52a1：<\/p>\n
pipelines:
\n – name: full_scan
\n steps:
\n – type: server
\n target: "192.168.1.100"
\n – type: app
\n url: "http:\/\/api.example.com\/health"
\n – type: db
\n dsn: "mysql:\/\/user:pass@db-host"
\n schedule: "*\/15 * * * *" <\/p>\n
OpenClaw \u81ea\u52a8\u5316\u8f93\u51fa，\u63d0\u5347\u8fd0\u7ef4\u6548\u7387\u3002<\/p>\n
\u62a5\u544a\u5185\u5bb9：<\/p>\n
\u793a\u4f8b\u62a5\u544a\u683c\u5f0f（HTML）：<\/p>\n
<div class="report">
\n <h1>\u5de1\u68c0\u62a5\u544a<\/h1>
\n <table>
\n <tr><th>\u6307\u6807<\/th><th>\u503c<\/th><th>\u72b6\u6001<\/th><\/tr>
\n <tr><td>CPU \u4f7f\u7528\u7387<\/td><td>75%<\/td><td>\u6b63\u5e38<\/td><\/tr>
\n <tr><td>API \u54cd\u5e94\u65f6\u95f4<\/td><td>1.2s<\/td><td>\u8b66\u544a<\/td><\/tr>
\n <\/table>
\n<\/div> <\/p>\n
\u57fa\u4e8e\u89c4\u5219\u548c\u673a\u5668\u5b66\u4e60\u751f\u6210\u5efa\u8bae：<\/p>\n
\u5efa\u8bae\u793a\u4f8b：<\/p>\n
OpenClaw \u652f\u6301：<\/p>\n
\u4ee5\u7535\u5546\u7cfb\u7edf\u4e3a\u4f8b，\u5c55\u793a OpenClaw \u5168\u94fe\u8def\u5de1\u68c0\u6548\u679c\u3002<\/p>\n
OpenClaw \u914d\u7f6e\u5168\u94fe\u8def\u626b\u63cf：<\/p>\n
\u751f\u6210\u62a5\u544a\u6458\u8981：<\/p>\n
\u5b9e\u65bd\u540e\u6548\u679c：<\/p>\n
\u63d0\u5347 OpenClaw \u5de1\u68c0\u6548\u7387\u7684\u5efa\u8bae：<\/p>\n
\u5168\u94fe\u8def\u81ea\u52a8\u5316\u5de1\u68c0\u662f IT \u8fd0\u7ef4\u7684\u5fc5\u7136\u8d8b\u52bf\u3002OpenClaw \u4f5c\u4e3a\u9ad8\u6548\u5de5\u5177，\u901a\u8fc7\u96c6\u6210\u670d\u52a1\u5668\u3001\u5e94\u7528\u3001\u6570\u636e\u5e93\u76d1\u63a7，\u5b9e\u73b0\u81ea\u52a8\u62a5\u544a\u548c\u667a\u80fd\u5efa\u8bae，\u663e\u8457\u63d0\u5347\u7cfb\u7edf\u53ef\u9760\u6027\u3002\u672a\u6765\u65b9\u5411\u5305\u62ec：<\/p>\n
\u603b\u4e4b，\u90e8\u7f72 OpenClaw \u5168\u94fe\u8def\u5de1\u68c0，\u4f01\u4e1a\u53ef\u964d\u4f4e\u98ce\u9669\u3001\u4f18\u5316\u8d44\u6e90，\u63a8\u52a8\u6570\u5b57\u5316\u8f6c\u578b\u3002\u672c\u6587\u8be6\u8ff0\u4e86\u5b9e\u65bd\u6b65\u9aa4\u3001\u6848\u4f8b\u53ca\u4f18\u5316，\u4e3a\u7528\u6237\u63d0\u4f9b\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/#content_views .toc,\/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views > .toc + p:empty,\/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/#content<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7462,50,100,43,395],"topic":[],"class_list":["post-120119","post","type-post","status-publish","format-standard","hentry","category-server","tag-openclaw","tag-50","tag-100","tag-43","tag-395"],"yoast_head":"\n