环境准备
yum install -y redis
yum install -y mysql-server
###安装并开机自启###
export HOME=/home/work
export WORKSPACE=$HOME/open-falcon
mkdir -p $WORKSPACE
cd $WORKSPACE
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
####数据库密码为空####
mkdir ./tmp
导入安装包open-falcon-v0.1.0.tar.gz
Shell脚本执行
tar -zxf open-falcon-latest.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 $app; \
done
安装go环境
cd ~
wget http://dinp.qiniudn.com/go1.4.1.linux-amd64.tar.gz
tar zxf go1.4.1.linux-amd64.tar.gz
mkdir -p workspace/src
echo "" >> .bashrc
echo 'export GOROOT=$HOME/go' >> .bashrc
echo 'export GOPATH=$HOME/workspace' >> .bashrc
echo 'export PATH=$GOROOT/bin:$GOPATH/bin:$PATH' >> .bashrc
echo "" >> .bashrc
source .bashrc
接下来clone代码，以备后用
cd $GOPATH/src
mkdir github.com
cd github.com
git clone --recursive https://github.com/open-falcon/of-release.git
安装agent（采集机器监控指标）
cd $GOPATH/src/github.com/open-falcon/agent
###所有组件配置文件必须叫cfg.json，可以基于cfg.example.json修改
./control start 启动进程
./control stop 停止进程
./control restart 重启进程
./control status 查看进程状态
./control tail 用tail -f的方式查看var/app.log
./falcon-agent –check检查是否可以正常跑在当前机器
安装Transfer（数据转发服务）
Cd transfer
vim 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": true,
"batch": 200,
"connTimeout": 1000,
"callTimeout": 5000,
"maxConns": 32,
"maxIdle": 32,
"retry": 3,
"address": "127.0.0.1:8088"
}
}
启动
./control start
curl -s "127.0.0.1:6060/health" 校验
cd graph
mv cfg.example.json cfg.json
vim cfg.json
{"debug": false,
"http": {"enabled": true,
"listen": "0.0.0.0:6071"
},
"rpc": {"enabled": true,
"listen": "0.0.0.0:6070"
},
"rrd": {"storage": "/home/work/data/6070"
},
"db": {"dsn": "root:@tcp(127.0.0.1:3306)/graph?loc=Local&parseTime=true",
"maxIdle": 4
},
"callTimeout": 5000,
"migrate": {"enabled": false,
"concurrency": 2,
"replicas": 500,
"cluster": {"graph-00" : "127.0.0.1:6070"
}
}
}
./control start
curl -s "127.0.0.1:6071/health"
cd ../queph
mv cfg.example.json cfg.json
vim cfg.json
{"debug": "false",
"http": {"enabled": true,
"listen": "0.0.0.0:9966"
},
"graph": {"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
服务启动后，可以通过日志查看服务的运行状态，日志文件地址为./var/app.log。可以通过查询脚本./scripts/query读取绘图数据，如 运行 bash ./scripts/query "ur.endpoint" "ur.counter"可以查询Endpoint="ur.endpoint" & Counter="ur.counter"对应的绘图数据。
注意: 请确保 graph.replicas和graph.cluster 的内容与transfer的配置完全一致
安装dashboard
yum install -y python-virtualenv
cd /path/to/dashboard/
virtualenv ./env
./env/bin/pip install -r pip_requirements.txt
###这里MySQL-Python会出错。在pip_requirements.txt里去掉MySQL-Python单独安装。参考地址：http://blog.csdn.net/winsonyuan/article/details/65447796
vim ./gunicorn.conf
vim ./rrd/config.py
workers = 4
bind = ':8081'
proc_name = 'falcon-dashboard-opensource'
pidfile = '/tmp/falcon-dashboard-opensource.pid'
limit_request_field_size = 0
limit_request_line = 0
#-*-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 = ""
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 = ""
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/work/open-falcon/dashboard/"
LOG_PATH = os.path.join(BASE_DIR,"log/")
try:
from rrd.local_config import *
except:
pass
邮件短信接口这里需要单独安装falcon-mail-provider的安装包
{"debug": true,
"http": {"listen": "10.0.0.60:4000",
"token": ""
},
"smtp": {"addr": "smtp.qq.com:587",
"username": "XXXX@qq.com",
"password": "eahqkylmljenbfge",==》这里有个授权码问题。
"from": "XXXX@qq.com"
}
}
~ ./control start
发送一份测试邮件：curl http://10.0.0.60:4000/sender/mail -d tos=XXXX@qq.com&subject=helloworld&content=test
安装sender（调用公司提供的邮件、短信接口）
Cd sender
Vi cfg.json
{"debug": true,
"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://10.0.0.60:8000/sms",
"mail": "http://10.0.0.60:4000/sender/mail"
}
}
curl 127.0.0.1:6066/health
安装FE（UIC web入口）
Cd fe
Vi cfg.json
{"log": "debug",
"company": "PJwuliu", ==》这里是公司名称用于生成二维码
"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": "fdfdfdsfsdfsfdsfs",
"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:@tcp(127.0.0.1:3306)/uic?charset=utf8&loc=Asia%2FChongqing",
"idle": 10,
"max": 100
},
"shortcut": {"falconPortal": "http://10.0.0.60:5050/",
"falconDashboard": "http://10.0.0.60:8081/",
"falconAlarm": "http://10.0.0.60:9912/"
}
安装portal（配置报警策略）
# yum install -y python-virtualenv
$ cd /path/to/portal/
$ virtualenv ./env
$ ./env/bin/pip install -r pip_requirements.txt
vi ../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 = ""
DB_NAME = "falcon_portal"
# -- cookie config --
SECRET_KEY = "4e.5tyg8-u9iojds"
SESSION_COOKIE_NAME = "falcon-portal"
PERMANENT_SESSION_LIFETIME = 3600 * 24 * 30
UIC_ADDRESS = {'internal': 'http://10.0.0.60:1234',
'external': 'http://10.0.0.60:1234',
}
UIC_TOKEN = ''
MAINTAINERS = ['root']
CONTACT = 'ulric.qin@gmail.com'
COMMUNITY = True
try:
from frame.local_config import *
except Exception, e:
print "[warning] %s" % e
cd hbs
{"debug": true,
"database": "root:@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"
}
}
Cd judge~(告警判断)
{"debug": true,
"debugHost": "nil",
"remain": 11,
"http": {"enabled": true,
"listen": "10.0.0.60:6081"
},
"rpc": {"enabled": true,
"listen": "0.0.0.0:6080"
},
"hbs": {"servers": ["10.0.0.60:6030"],
"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
}
}
}
curl 127.0.0.1:6081/health
cd links
virtualenv ./env
./env/bin/pip install -r pip_requirements.txt
# -*- coding:utf-8 -*-
__author__ = 'Ulric Qin'
# -- app config --
DEBUG = True
# -- db config --
DB_HOST = "10.0.0.60"
DB_PORT = 3306
DB_USER = "root"
DB_PASS = ""
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
安装alarm（处理报警event），judge产生的报警event写入redis，alarm从redis读取处理
{"debug": true,
"uicToken": "",
"http": {"enabled": true,
"listen": "10.0.0.60:9912"
},
"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://10.0.0.60:5050",
"uic": "http://10.0.0.60:1234",
"links": "http://10.0.0.60:5090"
}
}
安装task（定时任务）
{"debug": false,
"http": {"enable": true,
"listen": "0.0.0.0:8002"
},
"index": {"enable": false,
"dsn": "root:root@tcp(127.0.0.1:3306)/graph?loc=Local&parseTime=true",
"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,open-falcon.te:6060",
"graph,open-falcon.te:6071",
"task,open-falcon.te:8001"
]
}
}
安装nodata（监测监控数据的上报异常）
{"debug": true,
"http": {"enabled": true,
"listen": "0.0.0.0:6090"
},
"query":{"connectTimeout": 5000,
"requestTimeout": 30000,
"queryAddr": "127.0.0.1:9966"
},
"config": {"enabled": true,
"dsn": "root:@tcp(127.0.0.1:3306)/falcon_portal?loc=Local&parseTime=true&wait_timeout=604800",
"maxIdle": 4
},
"collector":{"enabled": true,
"batch": 200,
"concurrent": 10
},
"sender":{"enabled": true,
"connectTimeout": 5000,
"requestTimeout": 30000,
"transferAddr": "127.0.0.1:6060",
"batch": 500,
"block": {"enabled": false,
"threshold": 32
}
}
}
安装aggregator （集群聚合模块）
{"debug": true,
"http": {"enabled": true,
"listen": "0.0.0.0:6055"
},
"database": {"addr": "root:@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"
}
} 至此open-falcon已经搭建完成。现在open-falcon刚发布不久plus版，有时间再去看看吧！ 祝玩的开心！！！ 官网地址： https://github.com/open-falcon-archive/of-release
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