部署文档

客户端接入

启动脚本

Main启动

接入前的启动脚本：

java -Dfile.encoding=utf-8 -Xms256m -Xmx512m -cp ../conf:../lib/* com.xxx.Application

接入后，调整为：

java -Dfile.encoding=utf-8 -Xms256m -Xmx512m -javaagent:/目录/lib/yangjian-agent.jar -DMonitorAgent.service.name=应用名称 -cp ../conf:../lib/* com.xxx.Application

jar启动

接入前的启动脚本：

java -Dfile.encoding=utf-8 -Xms256m -Xmx512m -jar yourApp.jar

接入后，调整为：

java -Dfile.encoding=utf-8 -Xms256m -Xmx512m -javaagent:/目录/lib/yangjian-agent.jar -DMonitorAgent.service.name=应用名称 -jar yourApp.jar

tomcat项目

linux系统，在tomcat的启动文件tomcat/bin/catalina.sh第一行加：

CATALINA_OPTS="$CATALINA_OPTS -javaagent:/目录/lib/yangjian-agent.jar -DMonitorAgent.service.name=应用名称";
export CATALINA_OPTS

windows系统，在tomcat的启动文件tomcat/bin/catalina.bat第一行加：

set "CATALINA_OPTS=-javaagent:/目录/lib/yangjian-agent.jar -DMonitorAgent.service.name=应用名称"

统计日志示例

2020-02-05 06:24:51.744[INFO]-[schedule-8]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855091/method-event/consume?total_num=116594210&period_seconds=2&period_num=4651
2020-02-05 06:24:51.743[INFO]-[schedule-9]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855091/resources?direct_memory=28347&mapped_cache=0&heap=2831007&non_heap=130363
2020-02-05 06:24:51.744[INFO]-[schedule-7]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855091/method-event/product?total_num=116594210&period_seconds=2&period_num=4651&total_discard_num=0&period_discard_num=0
2020-02-05 06:24:51.744[INFO]-[schedule-7]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855091/statistic/hikaricp/connectionPool?hikaricp_active_count=0&hikaricp_max_total=10
2020-02-05 06:24:51.744[INFO]-[schedule-8]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855088/statistic/hikaricp/RT?sign=192.168.9.254%3A6301%2Fecpark_monitor+%7C+GetConnection&rt_max=1&rt_min=0&num=142&rt_total=2
2020-02-05 06:24:51.744[INFO]-[schedule-8]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855088/statistic/mysql-table/RT?sign=node_log+%7C+Update&rt_max=5&rt_min=1&num=252&rt_total=623
2020-02-05 06:24:51.744[INFO]-[schedule-8]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855090/statistic/kafka-publish/RT?sign=TOPIC-STATISTIC-UNIFIED&rt_max=0&rt_min=0&num=2&rt_total=0
2020-02-05 06:24:51.744[INFO]-[schedule-8]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1580855088/statistic/mysql-sql/RT?sign=select+id%2Cname+from+app++where+name%3D%3F&rt_max=2&rt_min=0&num=15&rt_total=16
2020-02-11 14:34:23.869[INFO]-[schedule-4]-[c.e.t.a.c.u.LogUtil.println(71)]: ecpark-monitor/1581402862/statistic/method/RT?sign=TestService.add%28int%2Cint%29&rt_max=0&rt_min=0&num=10&rt_total=0

exporter服务部署

进入yangjian-agent-exporter目录执行：mvn clean package

运行java -jar yangjian-agent-exporter-1.0.0-SNAPSHOT

prometheus部署

安装

下载地址选择对应环境的地址下载

配置

修改配置文件：prometheus.yml

# my global config
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).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'metrics'
    static_configs:
    - targets: ['localhost:9091']
    honor_labels: true
    scrape_interval: 3s

配置job_name为'metrics',targets为exporter服务的ip端口

配置完成之后window下可以直接双击prometheus.exe启动即可,默认启动端口为9090,可通过http://localhost:9090/ 验证是否成功