telegraf1.8+influxdb1.6+grafana5.2 环境搭建 结合JMeter3.2node
参考地址:https://blog.csdn.net/laisinanvictor/article/details/80007356linux
1)配置yum源
#配置yum源 /etc/yum.repos.d/influxdb.repo
[influxdb]
name = InfluxDB Repository - RHEL \$releasever
baseurl = https://repos.influxdata.com/rhel/\$releasever/\$basearch/stable
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdb.keyweb
2)安装telegraf
#收集系统和服务的统计数据 , 并写入到 InfluxDB数据库 , 在须要监控的机器上安装
yum -y install telegraf正则表达式
#配置文件路径
/etc/telegraf/telegraf.confsql
#设置开机时启动
systemctl enable telegraf.serviceshell
#启动
systemctl start telegraf
systemctl status telegraf数据库
#例子:配置Telegraf(这里用不到,因此不用配置)
[root@monitor src]# vim /etc/telegraf/telegraf.conf
## 修改内容以下
# Configuration for influxdb server to send metrics to
[[outputs.influxdb]]
## The full HTTP or UDP URL for your InfluxDB instance.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
# urls = ["unix:///var/run/influxdb.sock"]
# urls = ["udp://127.0.0.1:8089"]
# urls = ["http://127.0.0.1:8086"]apache
urls = ["http://10.1.5.49:8086"]json
## The target database for metrics; will be created as needed.
# database = "telegraf"vim
database = "ip_214_70_stat"
systemctl restart telegraf
#卸载telegraf(重装时须要卸载)
rm -rf telegraf
rm -rf /etc/systemd/system/multi-user.target.wants/telegraf.service
#检查Telegraf配置
systemctl status telegraf
#状态是running说明配置加载成功
3)安装influxdb
#时序数据库,默认端口为Web端8083,API端8086,默认登录信息admin 使用方式有点相似MySQL
#新版本 web界面功能被去掉了
#安装
yum -y install influxdb
#设置开机时启动
systemctl enable influxdb.service
#启动
systemctl start influxdb
systemctl status influxdb
#增长8083 8086端口,容许他经过防火强 influxdb:8083 8086
firewall-cmd --zone=public --add-port=8083/tcp --permanent
firewall-cmd --zone=public --add-port=8086/tcp --permanent
#从新加载防火强
firewall-cmd --reload
#查看经过防火强的端口
firewall-cmd --zone=public --list-ports
#重启防火强
systemctl restart firewalld
4)建立 Influxdb数据库
[root@monirot src]# influx
Connected to http://localhost:8086 version 1.6.3
InfluxDB shell version: 1.6.3
#重启influxdb
systemctl restart influxdb
#查看数据
打开 Influxdb 查询界面:http://你的ip地址:8086 , 输入查询语句seclect * from cpu可查询到 CPU 相关信息。
访问 influxdb
http://ip:8086/
5)安装Grafana
#访问各种数据源,自定义报表,显示图表等等, 用于提供界面监控,默认端口为3000,默认登录信息admin
地址:https://grafana.com/grafana/download?platform=linux
wget https://s3-us-west-2.amazonaws.com/grafana-releases/release/grafana-5.2.4-1.x86_64.rpm
sudo yum -y localinstall grafana-5.2.4-1.x86_64.rpm
yum -y install fontconfig
yum -y install freetype*
yum -y install urw-fonts
安装路径 /usr/sbin/grafana-server
init.d路径 /etc/init.d/grafana-server
环境变量文件路径 /etc/sysconfig/grafana-server
ini 文件路径 /etc/grafana/grafana.ini
Installs systemd service (if systemd is available) name grafana-server.service
日志文件路径 /var/log/grafana/grafana.log
sqllite3库路径 /var/lib/grafana/grafana.db
systemctl daemon-reload
systemctl start grafana-server
systemctl status grafana-server
#设置开机时启动
systemctl enable grafana-server.service
#启动
systemctl start grafana-server
systemctl status grafana-server
随机启动
sudo systemctl enable grafana-server.service
#安装ssh服务
yum -y install openssh-server.x86_64
#增长3000端口,容许他经过防火强 Grafana:3000
firewall-cmd --zone=public --add-port=3000/tcp --permanent
#从新加载防火强
firewall-cmd --reload
#查看经过防火强的端口
firewall-cmd --zone=public --list-ports
#重启防火强
systemctl restart firewalld
#重启
systemctl restart grafana-server
#配置Grafana
http://192.168.169.131:3000 帐号:admin 密码:admin 新密码为 123456
6)将JMeter压测后的结果数据,经过Grafana界面展现出来
#6-1修改influxdb配置文件
vim /etc/influxdb/influxdb.conf
#打开8086端口
[http]
# Determines whether HTTP endpoint is enabled.
enabled = true
# The bind address used by the HTTP service.
bind-address = ":8086"
# Determines whether user authentication is enabled over HTTP/HTTPS.
auth-enabled = false
#在如下地方新增 influx_db 数据库,配置好 监控 influx_db 端口号默认为 2003
[[graphite]]
# Determines whether the graphite endpoint is enabled.
enabled = true
database = "influx_db"
retention-policy = "" #influxdb上数据保存策略,参考后面设置
bind-address = ":2003"
protocol = "tcp"
consistency-level = "one"
#influxdb上数据保存策略(该步骤可忽略)
name 策略名 duration持续时间 0 无限制 shardGroupDuration shardGroup存储时间 replicaN副本个数 default 默认策略
一、新建数据保存策略
CREATE RETENTION POLICY "30d_jmeter" ON "influx_db" DURATION 30d REPLICATION 1 DEFAULT
二、删除初始策略
DROP RETENTION POLICY "autogen" ON "influx_db"
三、显示已有策略
SHOW RETENTION POLICIES on influx_db
#保存文件后,再次启动 influxdb
systemctl start influxdb
#6-2建立jmeter数据库
[root@monitor jmeter3.2]# influx
Connected to http://localhost:8086 version 1.6.3
InfluxDB shell version: 1.6.3
> create database influx_db
> use influx_db
Using database influx_db
> create user "admin" with password '123456' with all privileges
> create database graphite_db
> use graphite_db
Using database graphite_db
> create user "admin" with password '123456' with all privileges
> create database ip_214_70_stat
> use ip_214_70_stat
Using database ip_214_70_stat
> create user "admin" with password '123456' with all privileges
> show databases
name: databases
name
----
influx_db
_internal
ip_214_70_stat
> exit
#6-3在jmeter脚本文件中,新增监听器:Backend Listener
方式1:
Backend Listener implementation:保持默认 org.apache.jmeter.visualizers.backend.graphite.GraphiteBackendListenerClient
Async Quenue size:取数据的间隔 5000毫秒
graphiteMetricsSender:保持默认 org.apache.jmeter.visualizers.backend.graphite.TextGraphiteMetricsSender
graphiteHost:influxdb机器的IP地址 ip
graphitePort:influxdb中配置的端口号 默认 2003
rootMetricsPrefix:influxdb中配置的表名 jmeter. 不要更改该名字
summaryOnly:改为 false 是否统计总量
samplersList:改为 .* 请求的URL关键字.*
useRegexpForSamplersList:改为 true
percentiles:保持默认 90;95;99
#要配置对应某个请求的话,须要配置一下三项,不然保持默认就行
summaryOnly:改为 false
samplersList:改为 .*请求的URL关键字.* #summaryOnly=true,此处设置则失效,与请求的URL进行匹配,支持正则表达式,就是请求的名称是什么,这里就要配置的好去对应它
useRegexpForSamplersList:改为 true
方式2:
Backend Listener implementation:保持默认 org.apache.jmeter.visualizers.backend.influxdb.influxdbBackendListenerClient
Async Quenue size:取数据的间隔 5000毫秒
graphiteMetricsSender:保持默认 org.apache.jmeter.visualizers.backend.influxdb.HttpMetricsSender
graphiteHost:influxdb机器的IP地址 ip http://ip:8086/write?db=influx_db
application:应用名 好比:某某系统接口测试 influx_db
measurement: jmeter
summaryOnly:改为 false 是否统计总量
samplersRegex:.* 正则表达式
percentiles:保持默认 50;90;95;99
testTitle:influx_db_testTitle
eventTags:influx_db_eventTags
#6-4访问grafana http://ip:3000/
#修改配置文件
vim /etc/grafana/grafana.ini
#打开一下注释
[server]
# Protocol (http, https, socket)
protocol = http
# The ip address to bind to, empty will bind to all interfaces
;http_addr =
# The http port to use
http_port = 3000
[security]
# default admin user, created on startup
admin_user = admin
# default admin password, can be changed before first start of grafana, or in profile settings
admin_password = 123456
#配置数据库 ,保存后退出
#8086端口 是Grafana用来从数据库取数据的端口 2003端口是JMeter往数据库里面发数据的端口
name:name 随意取值
type:influxDB
HTTP
URL:http://ip:8086
Access:Server(Default)
InfluxDB Details
Database:influx_db
#建立jmeter数据库时,指定的用户,该用户可访问该jmeter数据库
user:admin Password:123456
Min time interval:10秒
#配置数据库面板 Home->dashboard->Graph->Edit
#在编辑中,选择数据库 Data Source :middleground
#压测运行完成,到图标里面就能够看到对应数据库了
jmeter.all.h.count 全部请求的TPS
jmeter.<请求名称>.h.count 对应<请求名称>的TPS
jmeter.all.ok.pct99 99%的请求响应时间
jmeter.<请求名称>.ok.pct99 对应<请求名称>99%的请求响应时间
jmeter.all.test.startedT 线程数
#安装jmeter模板,进入下面网站,选择influxdb 搜索jmeter
https://grafana.com/dashboards
选择JMeter Load Testby NovaTec-APM,以后下载Download JSON
下载文件JMeter-InfluxDB-Writer-plugin-1.2.jar 放到lib\ext目录下
在grafana中,上传刚下载的json文件到dashboard,将2个josn文件上传到grafana,导入到 dashboard 中
业务资源:资源监控面板配置参考这个文件:https://grafana.com/dashboards/4026 或https://grafana.com/dashboards/1152 或https://grafana.com/dashboards/5496(使用该模板,要用jm5.0) 经过jmeter搜索
硬件资源:资源监控面板配置参考这个文件:https://grafana.com/dashboards/3967 或https://grafana.com/dashboards/928 经过System搜索
yum -y install sysstattelegraf.conf 配置新增如下内容[global_tags][agent] interval = "15s" round_interval = true metric_batch_size = 1000 metric_buffer_limit = 10000 collection_jitter = "0s" flush_interval = "15s" flush_jitter = "0s" precision = "" debug = false quiet = false logfile = "" hostname = "" omit_hostname = false[[outputs.influxdb]] retention_policy = "" write_consistency = "any" timeout = "5s" username = "my login" password = "my password"[[inputs.cpu]] percpu = true totalcpu = true collect_cpu_time = true report_active = true[[inputs.disk]] ignore_fs = ["tmpfs", "devtmpfs", "devfs"][[inputs.diskio]][[inputs.kernel]][[inputs.mem]][[inputs.processes]][[inputs.swap]][[inputs.system]][[inputs.net]][[inputs.netstat]] [[inputs.sysstat]] activities = ["DISK"] [inputs.sysstat.options] -C = "cpu" -B = "paging" -b = "io" -d = "disk" "-n ALL" = "network" "-P ALL" = "per_cpu" -q = "queue" -r = "mem_util" -S = "swap_util" -u = "cpu_util" -v = "inode" -W = "swap" -w = "task"