1.先放个最后的效果图
2.下载 grafana + prometheus + node_exporter
grafana-enterprise-11.2.2.linux-amd64.tar.gz
https://github.com/prometheus/prometheus/releases
prometheus-2.54.1.linux-386.tar.gz
https://github.com/prometheus/node_exporter/releases
node_exporter-1.8.2.linux-amd64.tar.gz
3.解压安装node_exporter(需要监控的机器都操作)
上传到目录 /usr/local/node_exporter
解压:tar zxvf node_exporter-1.8.2.linux-amd64.tar.gz
cd node_exporter-1.8.2.linux-amd64 nohup ./node_exporter &
4.解压安装grafana (只要一台机器操作)
上传到目录 /usr/local/grafana
解压:tar zxvf grafana-enterprise-11.2.2.linux-amd64.tar.gz
cd /usr/local/grafana/grafana-v11.2.2/bin nohup ./grafana-server &
http://192.168.2.68:3000/ 换成自己的地址
默认账号admin 默认密码 admin
添加操作具体查看
5.解压安装prometheus(只要一台机器操作)
上传到目录 /usr/local/prometheus
解压:tar zxvf prometheus-2.54.1.linux-386.tar.gz
ps 我这边改了个名字,大家随意。
修改文件/usr/local/prometheus/prometheus/prometheus.yml
新增最后几行
# my global config global: scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute. evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. # scrape_timeout is set to the global default (10s). # Alertmanager configuration alerting: alertmanagers: - static_configs: - targets: # - alertmanager:9093 # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files: # - "first_rules.yml" # - "second_rules.yml" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: "prometheus" # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ["localhost:9090"] - job_name: "my_node_1" static_configs: - targets: ["192.168.2.66:9100","192.168.2.67:9100","192.168.2.68:9100"]
cd prometheus nohup ./prometheus &
up操作
http://192.168.2.68:9090/ (换成自己的地址)
6.下载监控界面
https://grafana.com/grafana/dashboards/
自己备份一个其他人共享的
{ "__inputs": [ { "name": "DS_TEST-PROMETHEUS", "label": "Prometheus", "description": "", "type": "datasource", "pluginId": "prometheus", "pluginName": "Prometheus" } ], "__elements": [], "__requires": [ { "type": "panel", "id": "bargauge", "name": "Bar gauge", "version": "" }, { "type": "grafana", "id": "grafana", "name": "Grafana", "version": "8.3.6" }, { "type": "panel", "id": "graph", "name": "Graph (old)", "version": "" }, { "type": "datasource", "id": "prometheus", "name": "Prometheus", "version": "1.0.0" }, { "type": "panel", "id": "stat", "name": "Stat", "version": "" }, { "type": "panel", "id": "table", "name": "Table", "version": "" } ], "annotations": { "list": [ { "$$hashKey": "object:2875", "builtIn": 1, "datasource": "-- Grafana --", "enable": true, "hide": true, "iconColor": "rgba(0, 211, 255, 1)", "name": "Annotations & Alerts", "target": { "limit": 100, "matchAny": false, "tags": [], "type": "dashboard" }, "type": "dashboard" } ] }, "description": "基于ConsulManager采集的ECS,可匹配自动同步方式采集ECS信息字段的展示,优化重要指标展示。使用Grafana8新表格重建,新增健康评分概念,并新增了整体资源消耗信息的一些图表。包含整体资源展示与资源明细图表:CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/ConsulManager", "editable": true, "fiscalYearStartMonth": 0, "gnetId": 8919, "graphTooltip": 0, "id": null, "iteration": 1649806176515, "links": [ { "$$hashKey": "object:2300", "icon": "bolt", "tags": [], "targetBlank": true, "title": "Update", "tooltip": "更新当前仪表板", "type": "link", "url": "https://grafana.com/dashboards/8919" }, { "$$hashKey": "object:2301", "icon": "question", "tags": [], "targetBlank": true, "title": "GitHub", "tooltip": "查看更多仪表板", "type": "link", "url": "https://github.com/starsliao/ConsulManager" }, { "$$hashKey": "object:2302", "asDropdown": true, "icon": "external link", "tags": [], "targetBlank": true, "title": "", "type": "dashboards" } ], "liveNow": false, "panels": [ { "collapsed": false, "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "gridPos": { "h": 1, "w": 24, "x": 0, "y": 0 }, "id": 187, "panels": [], "title": "资源总览:当前选中主机:$show_name,实例:$instance", "type": "row" }, { "description": "分区使用率、磁盘读取、磁盘写入、下载带宽、上传带宽,如果有多个网卡或者多个分区,是采集的使用率最高的网卡或者分区的数值。\n\n连接数:CurrEstab - 当前状态为 ESTABLISHED 或 CLOSE-WAIT 的 TCP 连接数。\n\n健康值是一个新增的指标,根据CPU,内存,IO计算出来的一个值,低于90分说明系统的资源使用情况需要注意了,这是一个正在测试的指标,参数可能需要根据实际情况再优化。", "fieldConfig": { "defaults": { "color": { "mode": "thresholds" }, "custom": { "align": "center", "displayMode": "auto", "filterable": false }, "decimals": 1, "mappings": [], "max": 100, "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null } ] }, "unit": "none" }, "overrides": [ { "matcher": { "id": "byName", "options": "内存" }, "properties": [ { "id": "unit", "value": "bytes" }, { "id": "decimals" }, { "id": "custom.width", "value": 67 }, { "id": "color", "value": { "fixedColor": "blue", "mode": "fixed" } }, { "id": "custom.displayMode", "value": "color-text" }, { "id": "decimals", "value": 0 } ] }, { "matcher": { "id": "byName", "options": "启动(天)" }, "properties": [ { "id": "unit", "value": "none" }, { "id": "custom.width", "value": 40 }, { "id": "decimals" } ] }, { "matcher": { "id": "byName", "options": "磁盘读取*" }, "properties": [ { "id": "unit", "value": "binBps" }, { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 10485760 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 20485760 } ] } }, { "id": "custom.width", "value": 78 } ] }, { "matcher": { "id": "byName", "options": "磁盘写入*" }, "properties": [ { "id": "unit", "value": "binBps" }, { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 10485760 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 20485760 } ] } }, { "id": "custom.width", "value": 81 } ] }, { "matcher": { "id": "byName", "options": "下载带宽*" }, "properties": [ { "id": "unit", "value": "binbps" }, { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 30485760 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 104857600 } ] } }, { "id": "custom.width", "value": 81 }, { "id": "decimals" } ] }, { "matcher": { "id": "byName", "options": "上传带宽*" }, "properties": [ { "id": "unit", "value": "binbps" }, { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 30485760 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 104857600 } ] } }, { "id": "custom.width", "value": 85 }, { "id": "decimals" } ] }, { "matcher": { "id": "byName", "options": "负载" }, "properties": [ { "id": "decimals", "value": 2 }, { "id": "custom.width", "value": 50 } ] }, { "matcher": { "id": "byName", "options": "连接数" }, "properties": [ { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 1000 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 1500 } ] } }, { "id": "custom.width", "value": 54 }, { "id": "decimals" } ] }, { "matcher": { "id": "byName", "options": "TCP_tw" }, "properties": [ { "id": "custom.displayMode", "value": "color-background" }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "rgba(50, 172, 45, 0.97)", "value": null }, { "color": "rgba(237, 129, 40, 0.89)", "value": 5000 }, { "color": "rgba(245, 54, 54, 0.9)", "value": 20000 } ] } }, { "id": "custom.width", "value": 63 }, { "id": "decimals" } ] }, { "matcher": { "id": "byName", "options": "CPU" }, "properties": [ { "id": "custom.width", "value": 44 }, { "id": "decimals", "value": 0 }, { "id": "custom.displayMode", "value": "color-text" }, { "id": "color", "value": { "fixedColor": "blue", "mode": "fixed" } } ] }, { "matcher": { "id": "byName", "options": "IP" }, "properties": [ { "id": "custom.width", "value": 80 }, { "id": "custom.filterable", "value": true }, { "id": "mappings", "value": [ { "options": { "pattern": "/(.*):.*/", "result": { "index": 0, "text": "$1" } }, "type": "regex" } ] } ] }, { "matcher": { "id": "byName", "options": "名称" }, "properties": [ { "id": "custom.filterable", "value": true }, { "id": "custom.width", "value": 75 } ] }, { "matcher": { "id": "byName", "options": "健康值" }, "properties": [ { "id": "custom.width", "value": 52 }, { "id": "thresholds", "value": { "mode": "absolute", "steps": [ { "color": "red", "value": null }, { "color": "orange", "value": 80 }, { "color": "green", "value": 90 } ] } }, { "id": "color", "value": { "mode": "thresholds" } }, { "id": "custom.displayMode", "value": "color-background" } ] }, { "matcher": { "id": "byRegexp", "options": "/.*使用率.*/" }, "properties": [ { "id": "unit", "value": "percent" }, { "id": "custom.displayMode", "value": "gradient-gauge" }, { "id": "color", "value": { "mode": "continuous-GrYlRd" } }, { "id": "custom.width", "value": 100 } ] }, { "matcher": { "id": "byName", "options": "IOutil使用率*" }, "properties": [ { "id": "custom.width", "value": 95 } ] }, { "matcher": { "id": "byName", "options": "分区使用率*" }, "properties": [ { "id": "custom.width", "value": 96 } ] }, { "matcher": { "id": "byName", "options": "到期日" }, "properties": [ { "id": "custom.width", "value": 86 } ] }, { "matcher": { "id": "byName", "options": "实例ID" }, "properties": [ { "id": "custom.width", "value": 62 } ] } ] }, "gridPos": { "h": 10, "w": 24, "x": 0, "y": 1 }, "id": 198, "options": { "footer": { "fields": [ "Value #B", "Value #C", "Value #L", "Value #H", "Value #I", "Value #M", "Value #N", "Value #J", "Value #K" ], "reducer": [ "sum" ], "show": false }, "showHeader": true, "sortBy": [ { "desc": false, "displayName": "健康值" } ] }, "pluginVersion": "8.3.6", "targets": [ { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "node_uname_info{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} - 0", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "主机名", "refId": "A" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "sum(time() - node_boot_time_seconds{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"})by(instance)/86400", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "运行时间", "refId": "D" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "node_memory_MemTotal_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} - 0", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "总内存", "refId": "B" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "count(node_cpu_seconds_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",mode='system',name=~\".*$sname.*\"}) by (instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "总核数", "refId": "C" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "node_load5{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}", "format": "table", "instant": true, "interval": "", "legendFormat": "5分钟负载", "refId": "L" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "(1 - avg(rate(node_cpu_seconds_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",mode=\"idle\",name=~\".*$sname.*\"}[$interval])) by (instance)) * 100", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "CPU使用率", "refId": "F" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "(1 - (node_memory_MemAvailable_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} / (node_memory_MemTotal_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"})))* 100", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "内存使用率", "refId": "G" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max((node_filesystem_size_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",fstype=~\"ext.?|xfs\"}-node_filesystem_free_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",fstype=~\"ext.?|xfs\"}) *100/(node_filesystem_avail_bytes {vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",fstype=~\"ext.?|xfs\"}+(node_filesystem_size_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",fstype=~\"ext.?|xfs\"}-node_filesystem_free_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",fstype=~\"ext.?|xfs\"})))by(instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "分区使用率", "refId": "E" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max(rate(node_disk_read_bytes_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval])) by (instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "最大读取", "refId": "H" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max(rate(node_disk_written_bytes_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval])) by (instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "最大写入", "refId": "I" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "node_netstat_Tcp_CurrEstab{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} - 0", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "连接数", "refId": "M" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "node_sockstat_TCP_tw{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} - 0", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "TIME_WAIT", "refId": "N" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max(rate(node_network_receive_bytes_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval])*8) by (instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "下载带宽", "refId": "J" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max(rate(node_network_transmit_bytes_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval])*8) by (instance)", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "上传带宽", "refId": "K" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "((1-(1 - avg(irate(node_cpu_seconds_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\",mode=\"idle\"}[$interval])) by (instance))^1.3)^(1/3)*0.5 + \r\n(1-(1 - avg(node_memory_MemAvailable_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"} / node_memory_MemTotal_bytes{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"})by (instance))^6)^(1/3)*0.3 + \r\n(1 - max(irate(node_disk_io_time_seconds_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval]))by (instance)^1.1)^(1/2)*0.2)*100", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "健康评分", "refId": "O" }, { "datasource": { "type": "prometheus", "uid": "${DS_TEST-PROMETHEUS}" }, "exemplar": false, "expr": "max(rate(node_disk_io_time_seconds_total{vendor=~\"$vendor\",account=~\"$account\",group=~\"$group\",name=~\"$name\",name=~\".*$sname.*\"}[$interval])) by (instance) *100", "format": "table", "hide": false, "instant": true, "interval": "", "legendFormat": "IOutil使用率", "refId": "P" } ], "title": "服务器资源总览表【分组:$group,主机总数:$total】", "transformations": [ { "id": "merge", "options": { "reducers": [] } }, { "id": "filterFieldsByName", "options": { "include": { "pattern": "/^Value #[^A]|^instance$|^name$|^iid$|^exp$/" } } }, { "id": "organize", "options": { "excludeByName": {}, "indexByName": { "Value #B": 6, "Value #C": 7, "Value #D": 3, "Value #E": 12, "Value #F": 9, "Value #G": 10, "Value #H": 13, "Value #I": 14, "Value #J": 17, "Value #K": 18, "Value #L": 8, "Value #M": 15, "Value #N": 16, "Value #O": 5, "Value #P": 11, "exp": 4, "iid": 2, "instance": 1, "name": 0 }, "renameByName": { "Value 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