[Linux] 安装grafana并且添加influxdb监控

Posted 2020-11-26 陶士涵的菜地

安装grafana，官网提供了ubuntu的安装包，直接进行安装

wget https://dl.grafana.com/oss/release/grafana_6.5.1_amd64.deb
dpkg -i grafana_6.5.1_amd64.deb
update-rc.d grafana-server defaults 95 10
service grafana-server start

 

使用influxdb的http api添加数据和查询数据

添加数据

while true;do curl -i -XPOST \'http://127.0.0.1:8086/write?db=sinamail\' --data-binary "webface,ip=10.2.2.1,httpstatus=404 prototype=\\"GET /favicon.ico HTTP/1.1\\" `date +%s`000000000";done

查询数据
curl -GET \'http://127.0.0.1:8086/query?pretty=true\' --data-urlencode "db=sinamail" --data-urlencode "q=SELECT * FROM webface where httpstatus=\'404\'"

添加grafana的influxdb数据源

查询表数据绘制出折线图

 

{
  "xhrStatus": "complete",
  "request": {
    "method": "GET",
    "url": "api/datasources/proxy/1/query",
    "params": {
      "db": "sinamail",
      "q": "SELECT count(\\"prototype\\") FROM \\"webface\\" WHERE (\\"httpstatus\\" = \'404\') AND time >= now() - 15m GROUP BY time(1m) fill(null)",
      "epoch": "ms"
    },
    "data": null,
    "precision": "ms"
  },
  "response": {
    "results": [
      {
        "statement_id": 0,
        "series": [
          {
            "name": "webface",
            "columns": [
              "time",
              "count"
            ],
            "values": [
              [
                1575211320000,
                0
              ],
              [
                1575211380000,
                0
              ],
              [
                1575211440000,
                0
              ],
              [
                1575211500000,
                0
              ],
              [
                1575211560000,
                1
              ],
              [
                1575211620000,
                0
              ],
              [
                1575211680000,
                4
              ],
              [
                1575211740000,
                8
              ],
              [
                1575211800000,
                0
              ],
              [
                1575211860000,
                0
              ],
              [
                1575211920000,
                41
              ],
              [
                1575211980000,
                8
              ],
              [
                1575212040000,
                0
              ],
              [
                1575212100000,
                0
              ],
              [
                1575212160000,
                0
              ],
              [
                1575212220000,
                0
              ]
            ]
          }
        ]
      }
    ]
  }
}