Grafana能够提供自定义的图形界面来展示监控数据，但由于被监控的应用五花八门，标准不一，因此Prometheus开发了各种client，应用程序只需引入该SDK，即可与Prometheus沟通，提供Prometheus格式的数据，同时Grafana也开发了能识别Prometheus类型的数据源的插件，Grafana能够展示Prometheus上的数据。
非JAVA版本的应用：
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.paul</groupId>
<artifactId>test-prometheus-java</artifactId>
<version>0.0.1-SNAPSHOT</version>
<properties>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<maven.compiler.source>${java.version}</maven.compiler.source>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.target>${java.version}</maven.compiler.target>
<micrometer.version>1.5.14</micrometer.version>
<prometheus.version>0.11.0</prometheus.version>
<start-class>com.paul.testprometheusjava.TestPrometheusJavaApplication</start-class>
</properties>
<dependencies>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>1.2.3</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-to-slf4j</artifactId>
<version>2.13.3</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>jul-to-slf4j</artifactId>
<version>1.7.30</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.sun.net.httpserver/http -->
<!-- <dependency>
<groupId>com.sun.net.httpserver</groupId>
<artifactId>http</artifactId>
<version>20070405</version>
</dependency> -->
<dependency>
<groupId>io.prometheus</groupId>
<artifactId>simpleclient_httpserver</artifactId>
</dependency>
<dependency>
<groupId>io.prometheus</groupId>
<artifactId>simpleclient_hotspot</artifactId>
</dependency>
<dependency>
<groupId>io.prometheus</groupId>
<artifactId>simpleclient_logback</artifactId>
</dependency>
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
<version>${micrometer.version}</version>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>io.prometheus</groupId>
<artifactId>simpleclient_bom</artifactId>
<version>0.11.0</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<version>2.3.11.RELEASE</version>
<executions>
<execution>
<id>repackage</id>
<goals>
<goal>repackage</goal>
</goals>
<configuration>
<mainClass>${start-class}</mainClass>
</configuration>
</execution>
</executions>
<configuration>
<mainClass>${start-class}</mainClass>
</configuration>
</plugin>
</plugins>
</build>
</project>
PrometheusEndpoint
package com.paul.testprometheusjava.web.endpoint;
import java.io.IOException;
import java.io.OutputStream;
import java.net.InetSocketAddress;
import com.sun.net.httpserver.HttpServer;
import io.micrometer.prometheus.PrometheusConfig;
import io.micrometer.prometheus.PrometheusMeterRegistry;
import io.prometheus.client.exporter.HTTPServer;
import io.prometheus.client.hotspot.DefaultExports;
import io.prometheus.client.logback.InstrumentedAppender;
public class PrometheusEndpoint {
public void startOld() {
PrometheusMeterRegistry prometheusRegistry = new PrometheusMeterRegistry(PrometheusConfig.DEFAULT);
try {
HttpServer server = HttpServer.create(new InetSocketAddress(8081), 0);
server.createContext("/prometheus", httpExchange -> {
String response = prometheusRegistry.scrape();
httpExchange.sendResponseHeaders(200, response.getBytes().length);
try (OutputStream os = httpExchange.getResponseBody()) {
os.write(response.getBytes());
}
});
new Thread(server::start).start();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public void start() throws IOException {
DefaultExports.initialize();
new InstrumentedAppender();
new HTTPServer(8081);
}
}
SPRING版本的应用：
pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.3.11.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.paul</groupId>
<artifactId>test-prometheus</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>test-prometheus</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-security</artifactId>
</dependency>
<!-- Micormeter core dependecy -->
<!-- Micrometer Prometheus registry -->
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
TestPrometheusApplication
package com.paul.testprometheus;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class TestPrometheusApplication {
public static void main(String[] args) {
SpringApplication.run(TestPrometheusApplication.class, args);
}
}
HelloController
package com.paul.testprometheus.web.controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequestMapping("/api")
public class HelloController{
@GetMapping("/hello")
public String printHello() {
return "Hello Spring MVC Framework!";
}
}
application.yml
## prometheus监控配置
management:
server:
port: 18080 # 修改actuator的端口
metrics:
export:
prometheus:
enabled: true
step: 1m
descriptions: true
tags:
application: ${spring.application.name} # 暴露的数据中添加application label
web:
server:
auto-time-requests: true
endpoints:
prometheus:
id: springmetrics
web:
# base-path: /xueqiu # 修改actuator的路径名
exposure:
include: health,prometheus
exclude: info,env,metrics,httptrace,threaddump,heapdump
spring:
application:
name: test-prometheus
security:
user:
name: admin
password: admin
Prometheus安装
dowonload:
https://prometheus.io/download/
https://github.com/prometheus/prometheus/releases/download/v2.27.1/prometheus-2.27.1.linux-amd64.tar.gz
installation:
tar xvfz prometheus-*.tar.gz
cd prometheus-*
vi prometheus.yml
# Start Prometheus.
# By default, Prometheus stores its database in ./data (flag --storage.tsdb.path).
./prometheus --config.file=prometheus.yml
prometheus.yml
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'test-prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
# 多久采集一次数据
scrape_interval: 15s
# 采集时的超时时间
scrape_timeout: 10s
# 采集的路径是啥
metrics_path: '/actuator/prometheus'
# 采集服务的地址，设置成上面Spring Boot应用所在服务器的具体地址。
scheme: http
basic_auth:
username: admin
password: admin
static_configs:
- targets: ['localhost:18080']
startup-prometheus.sh
#! /bin/bash
BIN_PATH=$(cd `dirname $0`; pwd)
cd ${BIN_PATH}
./prometheus --config.file=prometheus.yml &
https://www.fosslinux.com/10398/how-to-install-and-configure-prometheus-on-centos-7.htm
Grafana安装
yum localinstall /path/to/grafana-8.0.0-1.x86_64.rpm
systemctl daemon-reload
systemctl start grafana-server
systemctl status grafana-server
systemctl enable grafana-server
login ui:
http://ip:3000
admin:admin
Step 3: Create a dashboard
To create your first dashboard:
1.Click the + icon on the side menu.
2.On the dashboard, click Add an empty panel.
3.In the New dashboard/Edit panel view, go to the Query tab.
4.Configure your query by selecting -- Grafana -- from the data source selector. This generates the Random Walk dashboard.
5.Click the Save icon in the top right corner of your screen to save the dashboard.
6.Add a descriptive name, and then click Save.
Congratulations, you have created your first dashboard and it is displaying results.
import JVM (Micrometer) Dashboard by json:
https://grafana.com/grafana/dashboards/4701
https://grafana.com/api/dashboards/4701/revisions/9/download
prometheus:
http://ip:9090/
https://www.fosslinux.com/8328/how-to-install-and-configure-grafana-on-centos-7.htm
DASHBOARD的安装
import JVM (Micrometer) Dashboard by json:
https://grafana.com/grafana/dashboards/4701
https://grafana.com/api/dashboards/4701/revisions/9/download
Spring Boot 2.1 Statistics:
https://grafana.com/grafana/dashboards/10280
https://grafana.com/api/dashboards/10280/revisions/1/download
https://grafana.com/grafana/dashboards/6756
https://grafana.com/api/dashboards/6756/revisions/2/download
LINUX DASHBOARD:
https://grafana.com/grafana/dashboards/8919
https://grafana.com/api/dashboards/8919/revisions/24/download
Reference:
https://www.163.com/dy/article/GBIN9JGS0511BM5R.html#https://github.com/prometheus/client_javahttps://blog.frognew.com/2018/01/using-prometheus-to-monitor-java-application.htmlhttps://blog.csdn.net/singgel/article/details/101120430https://blog.csdn.net/aixiaoyang168/article/details/100866159