【Open-Falcon】Linux下安裝Open-Falcon

 

一、Open-Falcon元件簡述

【Open-Falcon繪圖相關元件】

• Agent:  部署在目標機器採集機器監控項
• Transfer : 資料接收端，轉發資料到後端Graph和Judge
• Graph：操作rrd檔案儲存監控資料
• Query：查詢各個Graph資料，提供統一http查詢介面
• Dashboard：查詢監控歷史趨勢圖的web端
• Task：負責一些定時任務，索引全量更新、垃圾索引清理、自身元件監控等

【Open-Falcon報警相關元件】

• Sender ：報警傳送模組，控制併發度，提供傳送的緩衝queue
• UIC(FE)：使用者組管理，單點登入
• Portal：配置報警策略，管理機器分組的web端
• HBS：HeartBeat Server，心跳伺服器
• Judge：報警判斷模組
• Links：報警合併依賴的web端，存放報警詳情
• Alarm：報警時間處理器

【Open-Falcon架構圖】

官網架構圖：

 

 網友：

 

 

二、安裝準備

1.安裝Redis

http://www.cnblogs.com/xialiaoliao0911/p/7523952.html

2.安裝MySQL

http://www.cnblogs.com/xialiaoliao0911/p/7523931.html

3.Open-Falocn下載地址

二進位制版本：https://pan.baidu.com/s/1jOb6z-HRJ7i6nSFxf7I5Bg

4. 初始化MySQL表結構

# open-falcon所有元件都無需root賬號啟動，推薦使用普通賬號安裝，提升安全性。此處我們使用普通賬號：work來安裝部署所有元件
# 當然了，使用yum安裝依賴的一些lib庫的時候還是要有root許可權的。

git clone https://github.com/open-falcon/scripts.git
cd ./scripts/
mysql -h localhost -u root --password="" < db_schema/graph-db-schema.sql
mysql -h localhost -u root --password="" < db_schema/dashboard-db-schema.sql

mysql -h localhost -u root --password="" < db_schema/portal-db-schema.sql
mysql -h localhost -u root --password="" < db_schema/links-db-schema.sql
mysql -h localhost -u root --password="" < db_schema/uic-db-schema.sql

5.解壓open-falcon.tar.gz

#新建使用者falcon
useadd falcon
#新建臨時目錄tmp
su - falcon
cd /home/falcon
mkdir tmp
#解壓
tar -zxf of-release-v0.1.0.tar.gz -C ./tmp/
for x in `find ./tmp/ -name "*.tar.gz"`;do \
    app=`echo $x|cut -d '-' -f2`; \
    mkdir -p $app; \
    tar -zxf $x -C $app; \
done

 

三、安裝Open-Falcon繪圖相關元件

1.Agent

每臺機器上，都需要部署agent，agent會自動採集預先定義的各種採集項，每隔60秒，push到transfer。

cd $WORKSPACE/agent/
mv cfg.example.json cfg.json

vim cfg.json
- 修改 transfer這個配置項的enabled為 true，表示開啟向transfer傳送資料的功能
- 修改 transfer這個配置項的addr為：["127.0.0.1:8433"] (改地址為transfer元件的監聽地址, 為列表形式，可配置多個transfer例項的地址，用逗號分隔)

# 預設情況下（所有元件都在同一臺伺服器上），保持cfg.json不變即可
# cfg.json中的各配置項，可以參考 https://github.com/open-falcon/agent/blob/master/README.md

# 啟動
./control start

# 檢視日誌
./control tail
 
#啟動完成後，通過瀏覽器進行訪問
 http://192.168.102.141:1988/

【配置檔案】

 /home/falcon/tmp/agent/cfg.json

[falcon@open-falcon-demo agent]$ more cfg.json
{
    "debug": false,
    "hostname": "open-falcon-demo",
    "ip": "192.168.102.141",
    "plugin": {
        "enabled": false,
        "dir": "./plugin",
        "git": "https://github.com/open-falcon/plugin.git",
        "logs": "./logs"
    },
    "heartbeat": {
        "enabled": true,
        "addr": "127.0.0.1:6030",
        "interval": 60,
        "timeout": 1000
    },
    "transfer": {
        "enabled": true,
        "addrs": [
            "127.0.0.1:8433",
            "127.0.0.1:8433"
        ],
        "interval": 60,
        "timeout": 1000
    },
    "http": {
        "enabled": true,
        "listen": ":1988",
        "backdoor": false
    },
    "collector": {
        "ifacePrefix": ["eth", "em"]
    },
    "ignore": {
        "cpu.busy": true,
        "df.bytes.free": true,
        "df.bytes.total": true,
        "df.bytes.used": true,
        "df.bytes.used.percent": true,
        "df.inodes.total": true,
        "df.inodes.free": true,
        "df.inodes.used": true,
        "df.inodes.used.percent": true,
        "mem.memtotal": true,
        "mem.memused": true,
        "mem.memused.percent": true,
        "mem.memfree": true,
        "mem.swaptotal": true,
        "mem.swapused": true,
        "mem.swapfree": true
    }
}

通過瀏覽器開啟後的介面：

 

 

2.aggregator

cd $WORKSPACE/aggregator/
mv cfg.example.json cfg.json

【配置檔案】

/home/falcon/tmp/aggregator/cfg.json

[falcon@open-falcon-demo aggregator]$ more cfg.json
{
    "debug": false,
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:6055"
    },
    "database": {
        "addr": "root:mysql@tcp(127.0.0.1:3306)/falcon_portal?loc=Local&parseTime=true",
        "idle": 10,
        "ids": [1, -1],
        "interval": 55
    },
    "api": {
        "hostnames": "http://127.0.0.1:5050/api/group/%s/hosts.json",
        "push": "http://127.0.0.1:6060/api/push",
        "graphLast": "http://127.0.0.1:9966/graph/last"
    }
}

 

3.Transfer

transfer預設監聽在:8433埠上，agent會通過jsonrpc的方式來push資料上來。

cd $WORKSPACE/transfer/
mv cfg.example.json cfg.json

# 預設情況下（所有元件都在同一臺伺服器上），保持cfg.json不變即可
# cfg.json中的各配置項，可以參考 https://github.com/open-falcon/transfer/blob/master/README.md
# 如有必要，請酌情修改cfg.json

# 啟動transfer
./control start

# 校驗服務,這裡假定服務開啟了6060的http監聽埠。檢驗結果為ok表明服務正常啟動。
curl -s "http://127.0.0.1:6060/health"

#檢視日誌
./control tail

# 停止transfer
./control stop

[falcon@open-falcon-demo transfer]$ more cfg.json 
{
    "debug": false,
    "minStep": 30,
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:6060"
    },
    "rpc": {
        "enabled": true,
        "listen": "0.0.0.0:8433"
    },
    "socket": {
        "enabled": false,
        "listen": "0.0.0.0:4444",
        "timeout": 3600
    },
    "judge": {
        "enabled": true,
        "batch": 200,
        "connTimeout": 1000,
        "callTimeout": 5000,
        "maxConns": 32,
        "maxIdle": 32,
        "replicas": 500,
        "cluster": {
            "judge-00" : "127.0.0.1:6080"
        }
    },
    "graph": {
        "enabled": true,
        "batch": 200,
        "connTimeout": 1000,
        "callTimeout": 5000,
        "maxConns": 32,
        "maxIdle": 32,
        "replicas": 500,
        "cluster": {
            "graph-00" : "127.0.0.1:6070"
        }
    },
    "tsdb": {
        "enabled": false,
        "batch": 200,
        "connTimeout": 1000,
        "callTimeout": 5000,
        "maxConns": 32,
        "maxIdle": 32,
        "retry": 3,
        "address": "127.0.0.1:8088"
    }
}

 

4.Graph

graph元件是儲存繪圖資料、歷史資料的元件。transfer會把接收到的資料，轉發給graph。

cd $WORKSPACE/graph/
mv cfg.example.json cfg.json
mkdir -p /home/falcon/data/6070         #新建graph資料儲存目錄

# 預設情況下（所有元件都在同一臺伺服器上），保持cfg.json不變即可
# cfg.json中的各配置項，可以參考 https://github.com/open-falcon/graph/blob/master/README.md

# 啟動
./control start

# 檢視日誌
./control tail

# 校驗服務,這裡假定服務開啟了6071的http監聽埠。檢驗結果為ok表明服務正常啟動。
curl -s "http://127.0.0.1:6071/health"

[falcon@open-falcon-demo graph]$ more cfg.json
{
        "pid": "/home/falcon/open-falcon/graph/var/app.pid",            #修改為本機實際的目錄
        "log": "info",
        "debug": false,
        "http": {
                "enabled": true,
                "listen": "0.0.0.0:6071"
        },
        "rpc": {
                "enabled": true,
                "listen": "0.0.0.0:6070"
        },
        "rrd": {
                "storage": "/home/falcon/data/6070"                    #graph資料儲存目錄,需要手動建立
        },
        "db": {
                "dsn": "root:mysql@tcp(127.0.0.1:3306)/graph?loc=Local&parseTime=true",           #標記紅色的為MySQL資料的root密碼
                "maxIdle": 4
        },
        "callTimeout": 5000,
        "migrate": {
                "enabled": false,
                "concurrency": 2,
                "replicas": 500,
                "cluster": {
                        "graph-00" : "127.0.0.1:6070"
                }
        }
}

 

5.Query

query元件，繪圖資料的查詢介面，query元件收到使用者的查詢請求後，會從後端的多個graph，查詢相應的資料，聚合後，再返回給使用者。

cd $WORKSPACE/query/
mv cfg.example.json cfg.json
#進入query目錄新建graph_backends.txt檔案，並寫入graph相關的內容,內容來源於graph的cfg.json的migrate>cluster
cd /home/falcon/tmp/query
vi graph_backends.txt 
graph-00 127.0.0.1:6070


# 預設情況下（所有元件都在同一臺伺服器上），保持cfg.json不變即可
# cfg.json中的各配置項，可以參考 https://github.com/open-falcon/query/blob/master/README.md

# 啟動
./control start

# 檢視日誌
./control tail

[falcon@open-falcon-demo query]$ more cfg.json
{
    "log_level":  "info",
    "slowlog": 2000,
    "debug": "false",
    "http": {
        "enabled":  true,
        "listen":   "0.0.0.0:9966"
    },
    "graph": {
        "backends": "./graph_backends.txt",
        "reload_interval": 60,
        "connTimeout": 1000,
        "callTimeout": 5000,
        "maxConns": 32,
        "maxIdle": 32,
        "replicas": 500,
        "cluster": {
            "graph-00": "127.0.0.1:6070"
        }
    },
    "api": {
        "query": "http://127.0.0.1:9966",
        "dashboard": "http://127.0.0.1:8081",
        "max": 500
    }
}

 

6.Dashboard

dashboard是面向使用者的查詢介面，在這裡，使用者可以看到push到graph中的所有資料，並檢視其趨勢圖。

Install dependency
#配置EPEL源,安裝virtualenv環境
rpm -ivh http://dl.fedoraproject.org/pub/epel/6/x86_64/epel-release-6-8.noarch.rpm
yum install -y python-pip
pip install virtualenv

#根據MySQL實際路徑，新建兩個軟連線

 ln -s /usr/local/mysql/lib/libmysqlclient.so.20 /usr/lib/libmysqlclient.so.20
 ln -s /usr/local/mysql/lib/libmysqlclient.so.20 /usr/lib64/libmysqlclient.so.20

#將pip_requirements.txt中的mysql-python這一行去掉，使用easy_install單獨安裝
#進入到virtualenv環境

 [falcon@open-falcon-demo dashboard]$ virtualenv env

 [falcon@open-falcon-demo dashboard]$ source env/bin/activate

  #安裝mysql-python
 (env)[falcon@open-falcon-demo dashboard]$ easy_install mysql-python   

 

 #檢視READ.me檔案，找到./env/bin/pip install -r pip_requirements.txt -i http://pypi.douban.com/simple這行然後執行

 (env)[falcon@open-falcon-demo dashboard]$ ./env/bin/pip install -r pip_requirements.txt -i http://pypi.douban.com/simple

 

  #啟動Dashboard

  (env)[falcon@open-falcon-demo dashboard]$ ./control start

  #檢視Dashboard啟動狀態

  (env)[falcon@open-falcon-demo dashboard]$ ./control status

  #檢視日誌

  (env)[falcon@open-falcon-demo dashboard]$ ./control tail

  #退出virtualenv環境

  (env)[falcon@open-falcon-demo dashboard]$  deactivate

  #啟動完成後，可通過瀏覽器進行訪問

   http://192.168.102.141:8081/

 【配置檔案】

/home/falcon/tmp/dashboard/rrd/config.py

[falcon@open-falcon-demo rrd]$ more config.py
#-*-coding:utf8-*-
import os

#-- dashboard db config --
DASHBOARD_DB_HOST = "127.0.0.1"
DASHBOARD_DB_PORT = 3306
DASHBOARD_DB_USER = "root"
DASHBOARD_DB_PASSWD = "mysql"
DASHBOARD_DB_NAME = "dashboard"

#-- graph db config --
GRAPH_DB_HOST = "127.0.0.1"
GRAPH_DB_PORT = 3306
GRAPH_DB_USER = "root"
GRAPH_DB_PASSWD = "mysql"
GRAPH_DB_NAME = "graph"

#-- app config --
DEBUG = True
SECRET_KEY = "secret-key"
SESSION_COOKIE_NAME = "open-falcon"
PERMANENT_SESSION_LIFETIME = 3600 * 24 * 30
SITE_COOKIE = "open-falcon-ck"

#-- query config --
QUERY_ADDR = "http://127.0.0.1:9966"

#BASE_DIR = "/home/falcon/open-falcon/dashboard/"
BASE_DIR="/home/falcon/data/6070"                         #和graph新建的資料儲存目錄相同
LOG_PATH = os.path.join(BASE_DIR,"log/")

try:
    from rrd.local_config import *
except:
    pass

 

 

7.task

cd /home/falcon/tmp/task
mv cfg.example.json  cfg.json

#修改配置檔案
[falcon@open-falcon-demo task]$ more cfg.json
{
    "debug": false,
    "http": {
        "enable": true,
        "listen": "0.0.0.0:8002"
    },
    "index": {
        "enable": true,
        "dsn": "root:mysql@tcp(127.0.0.1:3306)/graph?loc=Local&parseTime=true",      #MySQL的root密碼
        "maxIdle": 4,
        "autoDelete": false,
        "cluster":{
            "test.hostname01:6071" : "0 0 0 ? * 0-5",
            "test.hostname02:6071" : "0 30 0 ? * 0-5"
        }
    },
    "collector" : {
        "enable": true,
        "destUrl" : "http://127.0.0.1:1988/v1/push",
        "srcUrlFmt" : "http://%s/statistics/all",
        "cluster" : [
            "transfer,test.hostname:6060",
            "graph,test.hostname:6071",
            "task,test.hostname:8001"
        ]
    }
}

#啟動task
[falcon@open-falcon-demo task]$ ./control start
#檢視啟動狀態
[falcon@open-falcon-demo task]$ ./control status
#檢視日誌
[falcon@open-falcon-demo task]$ ./control tail
#重啟
[falcon@open-falcon-demo task]$ ./control restart

 

 

四、安裝Open-Falcon報警相關元件

1.Sender

呼叫各個公司提供的mail-provider和sms-provider，按照某個併發度，從redis中讀取郵件、簡訊併傳送，alarm生成的報警簡訊和報警郵件都是直接寫入redis即可，sender來傳送。

cd $WORKSPACE/sender/
mv cfg.example.json cfg.json
# vi cfg.json
# redis地址需要和後面的alarm、judge使用同一個
# queue維持預設
# worker是最多同時有多少個執行緒玩命得呼叫簡訊、郵件傳送介面
# api要給出sms-provider和mail-provider的介面地址
./control start

[falcon@open-falcon-demo sender]$ more cfg.json
{
    "debug": false,
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:6066"
    },
    "redis": {
        "addr": "127.0.0.1:6379",
        "maxIdle": 5
    },
    "queue": {
        "sms": "/sms",
        "mail": "/mail"
    },
    "worker": {
        "sms": 10,
        "mail": 50
    },
    "api": {
        "sms": "http://11.11.11.11:8000/sms",
        "mail": "http://11.11.11.11:9000/mail"
    }
}

 

2.UIC(FE)

cd $WORKSPACE/fe/
mv cfg.example.json cfg.json
# 請基於cfg.example.json 酌情修改相關配置項

# 啟動
./control start

# 檢視日誌
./control tail

# 停止服務
./control stop

[falcon@open-falcon-demo fe]$ more cfg.json
{
    "log": "debug",
    "company": "MI",
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:1234"
    },
    "cache": {
        "enabled": true,
        "redis": "127.0.0.1:6379",
        "idle": 10,
        "max": 1000,
        "timeout": {
            "conn": 10000,
            "read": 5000,
            "write": 5000
        }
    },
    "salt": "",
    "canRegister": true,
    "ldap": {
        "enabled": false,
        "addr": "ldap.example.com:389",
        "baseDN": "dc=example,dc=com",
        "bindDN": "cn=mananger,dc=example,dc=com",
        "bindPasswd": "12345678",
        "userField": "uid",
        "attributes": ["sn","mail","telephoneNumber"]
    },
    "uic": {
        "addr": "root:mysql@tcp(127.0.0.1:3306)/uic?charset=utf8&loc=Asia%2FChongqing",      #紅色為MySQL資料庫root密碼
        "idle": 10,
        "max": 100
    },
    "shortcut": {
        "falconPortal": "http://192.168.102.141:5050/",               #Portal訪問地址
        "falconDashboard": "http://192.168.102.141:8081/",            #Dashboard訪問地址
        "falconAlarm": "http://192.168.102.141:9912/"                 #Alarm訪問地址
    }
}

 

 

3.Portal

portal是用於配置報警策略的地方。

yum install -y python-virtualenv  # run as root

cd $WORKSPACE/portal/
virtualenv ./env

./env/bin/pip install -r pip_requirements.txt

# vi frame/config.py
# 1. 修改DB配置
# 2. SECRET_KEY設定為一個隨機字串
# 3. UIC_ADDRESS有兩個，internal配置為FE模組的內網地址，portal通常是和UIC在一個網段的，
#    內網地址相互訪問速度快。external是終端使用者通過瀏覽器訪問的UIC地址，很重要！
# 4. 其他配置可以使用預設的

./control start

portal預設監聽在5050埠，瀏覽器訪問即可

more  /home/falcon/tmp/portal/frame/config.py
# -*- coding:utf-8 -*-
__author__ = 'Ulric Qin'

# -- app config --
DEBUG = True

# -- db config --
DB_HOST = "127.0.0.1"
DB_PORT = 3306
DB_USER = "root"
DB_PASS = "mysql"      #資料庫密碼
DB_NAME = "falcon_portal"

# -- cookie config --
SECRET_KEY = "4e.5tyg8-u9ioj"
SESSION_COOKIE_NAME = "falcon-portal"
PERMANENT_SESSION_LIFETIME = 3600 * 24 * 30

UIC_ADDRESS = {
    'internal': 'http://127.0.0.1:1234',
    'external': 'http://192.168.102.141:1234',              #可通過瀏覽器訪問的地址
}

UIC_TOKEN = ''

MAINTAINERS = ['root']
CONTACT = 'ulric.qin@gmail.com'

COMMUNITY = True

try:
    from frame.local_config import *
except Exception, e:
    print "[warning] %s" % e

 

4.HBS

心跳伺服器，只依賴Portal的DB

cd $WORKSPACE/hbs/
mv cfg.example.json cfg.json
# vi cfg.json 把資料庫配置配置為portal的db
./control start
如果先安裝的繪圖元件又來安裝報警元件，那應該已經安裝過agent了，hbs啟動之後會監聽一個http埠，一個rpc埠，agent要和hbs通訊，重新去修改agent的配置cfg.json，把heartbeat那項enabled設定為true，並配置上hbs的rpc地址，./control restart重啟agent，之後agent就可以和hbs心跳了

[falcon@open-falcon-demo hbs]$ more cfg.json
{
    "debug": true,
    "database": "root:mysql@tcp(127.0.0.1:3306)/falcon_portal?loc=Local&parseTime=true",
    "hosts": "",
    "maxIdle": 100,
    "listen": ":6030",
    "trustable": [""],
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:6031"
    }
}

 

5.Judge

報警判斷模組，judge依賴於HBS，所以得先搭建HBS

cd $WORKSPACE/judge/
mv cfg.example.json cfg.json
# vi cfg.json
# remain: 這個配置指定了judge記憶體中針對某個資料存多少個點，比如host01這個機器的cpu.idle的值在記憶體中最多存多少個，
# 配置報警的時候比如all(#3)，這個#後面的數字不能超過remain-1
# hbs: 配置為hbs的地址，interval預設是60s，表示每隔60s從hbs拉取一次策略
# alarm: 報警event寫入alarm中配置的redis，minInterval表示連續兩個報警之間至少相隔的秒數，維持預設即可
./control start

[falcon@open-falcon-demo judge]$ more cfg.json
{
    "debug": true,
    "debugHost": "nil",
    "remain": 11, 
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:6081"
    },
    "rpc": {
        "enabled": true,
        "listen": "0.0.0.0:6080"
    },
    "hbs": {
        "servers": ["127.0.0.1:6030"],
        "timeout": 300,
        "interval": 60
    },
    "alarm": {
        "enabled": true,
        "minInterval": 300,
        "queuePattern": "event:p%v",
        "redis": {
            "dsn": "127.0.0.1:6379",
            "maxIdle": 5,
            "connTimeout": 5000,
            "readTimeout": 5000,
            "writeTimeout": 5000
        }
    }
}

 

 

6.Links

links元件的作用：當多個告警被合併為一條告警資訊時，簡訊中會附帶一個告警詳情的http連結地址，供使用者檢視詳情。

# yum install -y python-virtualenv
$ cd $WORKSPACE/links/
$ virtualenv ./env
$ ./env/bin/pip install -r pip_requirements.txt

./control  start
./control  status
./control  tail 

 

cd /home/falcon/tmp/links/frame
[falcon@open-falcon-demo frame]$ more config.py
# -*- coding:utf-8 -*-
__author__ = 'Ulric Qin'

# -- app config --
DEBUG = True

# -- db config --
DB_HOST = "127.0.0.1"
DB_PORT = 3306
DB_USER = "root"
DB_PASS = "mysql"
DB_NAME = "falcon_links"

# -- cookie config --
SECRET_KEY = "4e.5tyg8-u9ioj"
SESSION_COOKIE_NAME = "falcon-links"
PERMANENT_SESSION_LIFETIME = 3600 * 24 * 30

try:
    from frame.local_config import *
except Exception, e:
    print "[warning] %s" % e

 

7.Alarm

alarm模組是處理報警event的，judge產生的報警event寫入redis，alarm從redis讀取，這個模組被業務搞得很糟亂，各個公司可以根據自己公司的需求重寫.

cd $WORKSPACE/alarm/
mv cfg.example.json cfg.json
# vi cfg.json
# 把redis配置成與judge同一個

./control start

注意，alarm當前的版本，highQueues和lowQueues都不能為空，是個bug，稍候修復。我們可以把event:p0~event:p5配置到highQueues，把event:p6配置到lowQueues

[falcon@open-falcon-demo alarm]$ more cfg.json
{
    "debug": true,
    "uicToken": "",
    "http": {
        "enabled": true,
        "listen": "0.0.0.0:9912"
    },
    "queue": {
        "sms": "/sms",
        "mail": "/mail"
    },
    "redis": {
        "addr": "127.0.0.1:6379",
        "maxIdle": 5,
        "highQueues": [
            "event:p0",
            "event:p1",
            "event:p2",
            "event:p3",
            "event:p4",
            "event:p5"
        ],
        "lowQueues": [
            "event:p6"
        ],
        "userSmsQueue": "/queue/user/sms",
        "userMailQueue": "/queue/user/mail"
    },
    "api": {
        "portal": "http://192.168.102.141:5050",
        "uic": "http://127.0.0.1:1234",
        "links": "http://192.168.102.141:5090"
    }
}

 

PS：本例安裝open-falcon時是使用falcon使用者安裝的。

falcon使用者的家目錄是:/home/falcon

所有配置好的配置檔案的打包在這裡：https://pan.baidu.com/s/1ii6r0-iJYYt4Mn_WzHcfcw

 

【agent】
http://192.168.102.141:1988/
【dashboard】
http://192.168.102.141:8081/
【uic/fe】
http://192.168.102.141:1234/
【Portal】
http://192.168.102.141:5050/
【alarm】
http://192.168.102.141:9912/

手動觸發graph
curl -s "http://127.0.0.1:6071/index/updateAll"