Prometheus+Grafana 监控Tongweb嵌入式（by lqw）_-javaagent:/mnt/jmx_prometheus_javaagent-0.19.0.ja

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

1
2

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：
TongWeb 面板，使用JMX Exporter采集数据

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": [],
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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：
maven环境变量配置（超详细！）

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>
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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
1

如果用的不是propeities文件，配置参考如下：

server:
  tongweb:
    license:
      path: classpath:license.dat
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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: ".*"

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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
1

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>
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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=*
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4

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
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8

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

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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']
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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
 
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修改完启动Prometheus

cd /usr/local/promethues/

./prometheus --config.file="/usr/local/promethues/prometheus.yml" &

ps ef |grep promethues


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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

Grafana下载地址

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

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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


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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：