文章目录
- 1.思路
- 2.部署准备
- 3.Grafana仪表盘json文件下载
- 4.tw嵌入式jar包本地引入依赖并测试运行
- 5.运行jmx_prometheus_javaagent-0.19.0.jar形式获取监控数据（方法一）
- 6.使用Actuator 获取监听数据（方法二）
- 7.Prometheus部署
- 8.Prometheus配置
- 9.安装和配置Grafana
1.思路
Tongweb嵌入式最终是把依赖打入到java应用（也就是jar包里），然后启动jar包进行测试，所以我们需要考虑的是，启动jar包的时候，怎么获取到监控数据。
根据Prometheus+Grafana 监控Tongweb7来看，监控数据是通过jmx_prometheus_javaagent-0.19.0.jar和config.yaml这两个关键文件来获取的，但是这里用的是企业版的部署方式（类似于部署了tomcat然后在tomcat的webapps里部署应用的方式一样）。
所以有两种方式，各位根据自己的需要进行选择：
1.我们可以通过启动参数的形式，启动应用jar包的同时，使用jmx_prometheus_javaagent来配置JMX指标的暴露端口为38061，并指定配置文件为config.yaml，也就是这样的指令来启动jar包，从而方便Prometheus拉取监控数据：
java -javaagent:jmx_prometheus_javaagent-0.19.0.jar=39081:config.yaml -jar spring-boot-accesslog-2.x-0.0.1.jar
其中config.yaml是相关配置文件，jmx_prometheus_javaagent-0.19.0.jar是拉取监控数据用的jar包，spring-boot-accesslog-2.x-0.0.1.jar是测试用的jar包（已经导入tongweb嵌入式的依赖并打包了），39081是绑定的监听端口（可以自己设置一个没有占用的端口）。
之后访问服务器ip:39081/metrics,如下图所示就说明获取成功了：
获取成功之后，再部署prometheus和grafana，修改对应配置，配置grafana的数据源和仪表盘即可。
2.参考rometheus监控Spring Boot应用，自定义应用监控指标
使用springboot项目的话，可以引入监控相关的依赖和jar包，再部署prometheus和grafana进行监控。
2.部署准备
本次参考：Prometheus监控Tongweb容器
1.使用虚拟机ip：192.168.10.51（tongweb），192.168.10.52（Prometheus），192.168.10.8(Grafana ),其中51服务器确保9060，39081端口没有被占用,52服务器确保9090端口没有被占用，8服务器确保3000端口没有被占用，三台虚拟机均关闭防火墙。
2.使用的jar包：jmx_prometheus_javaagent-0.19.0.jar:jmx_prometheus_javaagent-0.19.0.jar下载链接
3.使用的jdk环境：jdk1.8(需配置jdk环境变量)
4.下载Grafana使用的仪表盘json文件：
也可以自行下载跟tomcat8.5或者jvm相关的json文件仪表盘，这个自行百度。
5.tw7的安装包和授权，其中tw7使用的安装包为TongWeb7.0.4.9_M3_Enterprise_Linux.tar.gz。
3.Grafana仪表盘json文件下载
可以上这个网站下载：
grafana仪表盘官方下载地址
进去后，在这里输入关键字，例如jvm
点击自己想要的仪表盘
点击这里下载
下面提供两份json模版，自行复制进行测试：
{
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "10.0.1"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
},
{
"type": "panel",
"id": "timeseries",
"name": "Time series",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "datasource",
"uid": "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": "TongWeb 面板，使用JMX Exporter采集数据",
"editable": true,
"fiscalYearStartMonth": 0,
"gnetId": 19156,
"graphTooltip": 0,
"id": null,
"links": [
{
"asDropdown": false,
"icon": "external link",
"includeVars": false,
"keepTime": false,
"tags": [],
"targetBlank": true,
"title": "更新面板",
"tooltip": "",
"type": "link",
"url": "https://grafana.com/grafana/dashboards/19156"
}
],
"liveNow": false,
"panels": [
{
"collapsed": false,
"datasource": {
"type": "prometheus",
"uid": "fb65406e-39df-40f2-966c-9987082bdcfe"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 31,
"panels": [],
"repeat": "protocol",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "fb65406e-39df-40f2-966c-9987082bdcfe"
},
"refId": "A"
}
],
"title": "监控信息",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "被监控服务是否处于运行状态，即该服务是否可达。当UP指标的值为1时，表示该服务正在运行，并且可以被访问，当UP指标的值为0时，则表示该服务不可达或处于停止状态。",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"0": {
"color": "red",
"index": 1,
"text": "未连通"
},
"1": {
"color": "green",
"index": 0,
"text": "连通"
}
},
"type": "value"
},
{
"options": {
"match": "null",
"result": {
"color": "red",
"index": 2,
"text": "未连通"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 4,
"x": 0,
"y": 1
},
"id": 33,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "up{instance=~\"$instance\"}",
"instant": true,
"interval": "",
"legendFormat": "状态",
"refId": "A"
}
],
"title": "运行状态",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "orange",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 4,
"y": 1
},
"id": 17,
"links": [],
"maxDataPoints": 100,
"options": {
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"mean"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "jvm_memory_bytes_used{area='heap', instance=\"$instance\"}/jvm_memory_bytes_max{area='heap', instance=\"$instance\"}*100",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"title": "JVM内存使用率",
"type": "gauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 9,
"y": 1
},
"id": 20,
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"mean"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "sum(tongweb_manager_sessioncounter{instance=\"$instance\"})",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"title": "会话总个数",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 14,
"y": 1
},
"id": 21,
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"mean"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "sum(tongweb_manager_expiredsessions{instance=\"$instance\"}) ",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"title": "会话过期数",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 19,
"y": 1
},
"id": 19,
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"mean"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "sum(tongweb_manager_sessioncounter{ instance=\"$instance\"} - tongweb_manager_expiredsessions{instance=\"$instance\"})",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"title": "当前会话计数",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"cellOptions": {
"type": "auto"
},
"inspect": false
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "none"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "线程池使用率*"
},
"properties": [
{
"id": "color",
"value": {
"mode": "continuous-GrYlRd"
}
},
{
"id": "custom.cellOptions",
"value": {
"mode": "gradient",
"type": "gauge"
}
},
{
"id": "unit",
"value": "percent"
},
{
"id": "decimals",
"value": 1
},
{
"id": "min",
"value": -1
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
{
"id": "max",
"value": 100
}
]
},
{
"matcher": {
"id": "byName",
"options": "http通道"
},
"properties": [
{
"id": "custom.width",
"value": 200
}
]
},
{
"matcher": {
"id": "byName",
"options": "最大线程数"
},
"properties": [
{
"id": "custom.width",
"value": 90
}
]
},
{
"matcher": {
"id": "byName",
"options": "初始线程数"
},
"properties": [
{
"id": "custom.width",
"value": 90
}
]
},
{
"matcher": {
"id": "byName",
"options": "线程优先级"
},
"properties": [
{
"id": "custom.width",
"value": 90
}
]
},
{
"matcher": {
"id": "byName",
"options": "等待队列"
},
"properties": [
{
"id": "custom.width",
"value": 90
}
]
}
]
},
"gridPos": {
"h": 9,
"w": 12,
"x": 0,
"y": 5
},
"id": 14,
"links": [],
"maxDataPoints": 100,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "线程池使用率"
}
]
},
"pluginVersion": "10.0.1",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_maxthreads{ instance=\"$instance\"}",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{name}}-最大线程数",
"range": false,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_minsparethreads{instance=\"$instance\"}",
"format": "table",
"hide": false,
"instant": true,
"legendFormat": "{{name}}-使用线程数",
"range": false,
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_connectioncount{ instance=\"$instance\"}",
"format": "table",
"hide": false,
"instant": true,
"legendFormat": "{{name}}",
"range": false,
"refId": "C"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_connectioncount{ instance=\"$instance\"}/tongweb_threadpool_maxthreads{ instance=\"$instance\"}*100",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "D"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_threadpriority{instance=\"$instance\"}",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "E"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "tongweb_threadpool_backlog{instance=\"$instance\"}",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "F"
}
],
"title": "线程池信息",
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"pattern": "/^Value #[A-Z]|^name$/"
}
}
},
{
"id": "merge",
"options": {}
},
{
"id": "organize",
"options": {
"excludeByName": {},
"indexByName": {},
"renameByName": {
"Value #A": "最大线程数",
"Value #B": "初始线程数",
"Value #C": "正在执行任务的线程数*",
"Value #D": "线程池使用率*",
"Value #E": "线程优先级",
"Value #F": "等待队列",
"name": "http通道"
}
}
},
{
"id": "groupBy",
"options": {
"fields": {
"Value #E": {
"aggregations": [],
"operation": "groupby"
},
"http通道": {
"aggregations": [],
"operation": "groupby"
},
"初始线程数": {
"aggregations": [
"lastNotNull"
],
"operation": "groupby"
},
"最大线程数": {
"aggregations": [],
"operation": "groupby"
},
"正在执行任务的线程数": {
"aggregations": [],
"operation": "groupby"
},
"正在执行任务的线程数*": {
"aggregations": [],
"operation": "groupby"
},
"等待队列": {
"aggregations": [],
"operation": "groupby"
},
"线程优先级": {
"aggregations": [],
"operation": "groupby"
},
"线程池使用率": {
"aggregations": [],
"operation": "groupby"
},
"线程池使用率*": {
"aggregations": [],
"operation": "groupby"
}
}
}
}
],
"type": "table"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 6,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 1,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 12,
"x": 12,
"y": 5
},
"id": 40,
"options": {
"legend": {
"calcs": [],
"displayMode": "table",
"placement": "right",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "tongweb_threadpool_connectioncount{ instance=\"$instance\"}/tongweb_threadpool_maxthreads{ instance=\"$instance\"}*100",
"instant": false,
"legendFormat": "{{name}}",
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{
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"min": null,
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"repeat": "persistence_counts",
"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "JVM Memory Pools (Heap)",
"titleSize": "h6"
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{
"collapse": false,
"height": 250,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {
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"leftMax": null,
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"id": 78,
"legend": {
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"lines": true,
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"pointradius": 5,
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"repeat": "jvm_memory_pool_nonheap",
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"spaceLength": 10,
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"stack": false,
"steppedLine": false,
"targets": [
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"legendFormat": "used",
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"hide": false,
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"legendFormat": "commited",
"metric": "",
"refId": "B",
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{
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"hide": false,
"interval": "",
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"metric": "",
"refId": "C",
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"dashLength": 10,
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"datasource": "${DS_PROMETHEUS}",
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"targets": [
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"instant": false,
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"legendFormat": "avg {{action}} ({{cause}})",
"refId": "A"
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{
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"instant": false,
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"thresholds": [],
"timeFrom": null,
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"title": "Pause Durations",
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"show": true
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},
{
"aliasColors": {},
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"dashLength": 10,
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"datasource": "${DS_PROMETHEUS}",
"fill": 1,
"id": 99,
"legend": {
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"lines": true,
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"span": 4,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "rate(jvm_gc_memory_allocated_bytes_total{application=\"$application\", instance=\"$instance\"}[1m])",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "allocated",
"refId": "A"
},
{
"expr": "rate(jvm_gc_memory_promoted_bytes_total{application=\"$application\", instance=\"$instance\"}[1m])",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "promoted",
"refId": "B"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Allocated/Promoted",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
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],
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"showTitle": true,
"title": "Garbage Collection",
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},
{
"collapse": false,
"height": "250px",
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
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"error": false,
"fill": 1,
"grid": {
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"leftMax": null,
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "jvm_classes_loaded_classes{application=\"$application\", instance=\"$instance\"}",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "loaded",
"metric": "",
"refId": "A",
"step": 1200
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Classes loaded",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"x-axis": true,
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"mode": "time",
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"show": true,
"values": []
},
"y-axis": true,
"y_formats": [
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"short"
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"show": true
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"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {
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"leftMax": null,
"leftMin": null,
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},
"id": 38,
"legend": {
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"current": false,
"max": false,
"min": false,
"show": true,
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},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "delta(jvm_classes_loaded_classes{application=\"$application\",instance=\"$instance\"}[1m])",
"format": "time_series",
"hide": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "delta-1m",
"metric": "",
"refId": "A",
"step": 1200
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Class delta",
"tooltip": {
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},
{
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"height": "250px",
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"fill": 1,
"id": 131,
"legend": {
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"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
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"lines": true,
"linewidth": 1,
"links": [],
"minSpan": 4,
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": "jvm_buffer_pool",
"seriesOverrides": [
{
"alias": "count",
"yaxis": 2
},
{
"alias": "buffers",
"yaxis": 2
}
],
"spaceLength": 10,
"span": 4,
"stack": false,
"steppedLine": false,
"targets": [
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"expr": "jvm_buffer_memory_used_bytes{application=\"$application\", instance=\"$instance\", id=~\"$jvm_buffer_pool\"}",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "used",
"refId": "A"
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{
"expr": "jvm_buffer_total_capacity_bytes{application=\"$application\", instance=\"$instance\", id=~\"$jvm_buffer_pool\"}",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "capacity",
"refId": "B"
},
{
"expr": "jvm_buffer_count_buffers{application=\"$application\", instance=\"$instance\", id=~\"$jvm_buffer_pool\"}",
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"intervalFactor": 2,
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}
],
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"style": "dark",
"tags": [],
"templating": {
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{
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"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 0,
"includeAll": false,
"label": "Application",
"multi": false,
"name": "application",
"options": [],
"query": "label_values(application)",
"refresh": 2,
"regex": "",
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allFormat": "glob",
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 0,
"includeAll": false,
"label": "Instance",
"multi": false,
"multiFormat": "glob",
"name": "instance",
"options": [],
"query": "label_values(jvm_memory_used_bytes{application=\"$application\"}, instance)",
"refresh": 2,
"regex": "",
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
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{
"allFormat": "glob",
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 2,
"includeAll": true,
"label": "JVM Memory Pools Heap",
"multi": false,
"multiFormat": "glob",
"name": "jvm_memory_pool_heap",
"options": [],
"query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"heap\"},id)",
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"sort": 1,
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"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
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{
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"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 2,
"includeAll": true,
"label": "JVM Memory Pools Non-Heap",
"multi": false,
"multiFormat": "glob",
"name": "jvm_memory_pool_nonheap",
"options": [],
"query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"nonheap\"},id)",
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"regex": "",
"sort": 2,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
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"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 2,
"includeAll": true,
"label": "JVM Buffer Pools",
"multi": false,
"multiFormat": "glob",
"name": "jvm_buffer_pool",
"options": [],
"query": "label_values(jvm_buffer_memory_used_bytes{application=\"$application\", instance=\"$instance\"},id)",
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"regex": "",
"sort": 1,
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"tags": [],
"tagsQuery": "",
"type": "query",
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"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {
"now": true,
"refresh_intervals": [
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"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
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"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
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"30d"
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"timezone": "browser",
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"version": 33
}4.tw嵌入式jar包本地引入依赖并测试运行
本次示范用的是TongWeb7.0.E.6_P5下的spring-boot-accesslog-2.x：
请在本地开发环境配置好mavernhome，配置教程如下：
配置后，window下，使用 installAll-{n} 脚本，解压 TongWeb 嵌入式版资源包，将 lib 目录中的 jar 包安装到本地 maven 仓库。
配置以下依赖到pom文件里（这一步可以参考手册：TongWeb V7.0 嵌入式版_JavaEE标准容器用户指南，记得去掉tomcat的依赖）：
<!--TongWeb 嵌入式版提供的与springboot集成的starter。 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-websocket</artifactId>
</dependency>
<dependency>
<groupId>com.tongweb.springboot</groupId>
<artifactId>tongweb-spring-boot-websocket-2.x</artifactId>
<version>7.0.E.6_P5</version>
</dependency>
<dependency>
<groupId>com.tongweb.springboot</groupId>
<artifactId>tongweb-spring-boot-starter-2.x</artifactId>
<version>7.0.E.6_P5</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
<exclusions>
<exclusion>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-tomcat</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- jsp支持-->
<dependency>
<groupId>com.tongweb</groupId>
<artifactId>tongweb-jsp</artifactId>
<version>7.0.E.6_P5</version>
</dependency>刷新maven，然后看看tongweb的依赖是否已经导入到项目里
授权文件放入到resource目录下，propeities配置文件配置：
server.tongweb.license.path=classpath:license.dat
如果用的不是propeities文件，配置参考如下：
server:
tongweb:
license:
path: classpath:license.dat之后进行打包，打包看看有没有报错，有的话看看报错信息，如果是依赖冲突，可以使用mavenhelp，参考：
maven解决包冲突简单方式(插件maven helper | maven指令)
打包后最好在本地跑一次看看有没有问题。
5.运行jmx_prometheus_javaagent-0.19.0.jar形式获取监控数据（方法一）
方法一和方法二任选其一即可。
将打包好的应用jar包和已经下载好的jmx.xxxjar放入到服务器，下面是我放入服务器的目录截图：
自己新建一个config.yaml,最好喝上传的jmx的jar包放一起，以下是配置内容：
wercaseOutputLabelNames: true
lowercaseOutputName: true
whitelistObjectNames: ["java.lang:type=OperatingSystem", "TONGWEB:*","config:*"]
blacklistObjectNames: []
rules:
- pattern: ".*"执行指令启动应用
java -javaagent:jmx_prometheus_javaagent-0.19.0.jar=39081:config.yaml -jar spring-boot-accesslog-2.x-0.0.1.jar访问服务器ip:39081/metrics
6.使用Actuator 获取监听数据（方法二）
方法一和方法二任选其一即可。选择了方法二的可以跳过这一步。
请在项目的pom.xml文件中添加以下两个依赖坐标：
<!--整合prometheus-->
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>添加后下载好依赖，然后在application.properties配置文件里添加这一段：
server.tongweb.license.path=classpath:license.dat
management.server.port=9099
management.endpoints.web.base-path=/actuator
management.endpoints.web.exposure.include=*添加打包成jar吧，上传到服务器，或者在本地执行java -jar 应用jar包名，测试访问ip:9099/actuator/prometheus：
如上图所示即为成功。
7.Prometheus部署
参考：一篇文章搞定Prometheus普罗米修斯监控系统的部署
8.Prometheus配置
配置prometheus.yml：
方法一的配置参考（注意缩进，192.168.10.51和39081分别对应的是tongweb这边的端口和ip）：
static_configs:
- targets: ["localhost:9090"]
- job_name: tongweb
static_configs:
- targets: ['192.168.10.51:39081']
labels:
instance: 192.168.10.51下面是我本地方法一的配置文件，自行删除不需要的部分：
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).
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
scrape_configs:
- job_name: "prometheus"
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ["localhost:9090"]
- job_name: 'Prometheus19'
metrics_path: /metrics
static_configs:
- targets:
- rds
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 192.168.10.19:9098
- job_name: 'Prometheus20'
metrics_path: /metrics
static_configs:
- targets:
- rds
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 192.168.10.20:9098
- job_name: "tongweb"
static_configs:
- targets: ['192.168.10.51:39081']
labels:
instance: 192.168.10.51方法二的配置：
- job_name: 'tongweb'
static_configs:
- targets: ['10.2.1.231:9527']
- job_name: 'prometheusapp'
metrics_path: '/actuator/prometheus'
static_configs:
- targets: ['10.2.1.159:8080']以下是我在本地使用的方法二的配置文件，自行删除不需要的部分
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).
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
scrape_configs:
- job_name: "prometheus"
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ["localhost:9090"]
- job_name: 'Prometheus19'
metrics_path: /metrics
static_configs:
- targets:
- rds
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 192.168.10.19:9098
- job_name: 'Prometheus20'
metrics_path: /metrics
static_configs:
- targets:
- rds
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 192.168.10.20:9098
- job_name: "tongweb"
static_configs:
- targets: ['192.168.10.51:39081']
labels:
instance: 192.168.10.51
- job_name: 'spring-actuator-tw'
metrics_path: '/actuator/prometheus'
static_configs:
- targets: ['192.168.10.51:9099'] # 这里填写你的Spring Boot应用的地址和端口修改完启动Prometheus
cd /usr/local/promethues/
./prometheus --config.file="/usr/local/promethues/prometheus.yml" &
ps ef |grep promethues访问服务器ip:9090/targets?search=,点击status，target，就可以看到我们配置的信息：
方法一的：
方法二的：
9.安装和配置Grafana
上图的话，安装后用 systemctl start grafana-server 启动，会方便一些。或者用这个也行，这个的话后面启动要用脚本启动（本文使用这种方式）。
解压一下安装包
tar -vxf grafana-enterprise-10.3.1.linux-amd64.tar.gz启动：
cd 到安装目录bin目录，执行./grafana-server,然后访问服务器ip:3000
注意：默认账号密码为：
账号：admin
密码：admin
如果你想卸载，可以关闭服务（直接pkill grafana-server也行），直接删除安装目录，然后删除对应配置
```xml
sudo rm -rf /var/lib/grafana
sudo rm -rf /var/log/grafana
sudo rm -rf /etc/grafana
sudo rm -rf /etc/grafana/grafana.ini
sudo rm -rf /var/lib/grafana/grafana.db
通常情况下，Grafana 服务的配置文件位于 /etc/grafana/grafana.ini，日志通常存储在 /var/log/grafana，而数据库默认位于 /var/lib/grafana/grafana.db。您可能需要查看这些文件以进行故障排查或者进行配置更改。记得在修改配置文件之后重启 Grafana 服务使更改生效。
Grafana只用于展示数据，需要配置Prometheus数据源。
写你的prometheus的url，带上端口号9090：
点击下方的sava&test，有下图的提示说明成功：
然后回到home，找到Create your first dashboard：
点击import a dashboard：
上传之前下载的json文件
上传后选择一下prometheus：
然后点击import，仪表盘就出现了：
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