Spring-Boot- visual monitoring application

Graphic Profile

Quick Start

1, Spring Boot application exposure monitoring indicators [version] 1.5.7.RELEASE

First, add the following dependence dependent:

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>

        <dependency>
            <groupId>io.prometheus</groupId>
            <artifactId>simpleclient_spring_boot</artifactId>
            <version>0.0.26</version>
        </dependency>复制代码

Then, start the class Application.java, add the following comment:

@SpringBootApplication
@EnablePrometheusEndpoint
@EnableSpringBootMetricsCollector
public class Application {

    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);
    }

}复制代码

Finally, configure the default user name and password, in the application.ymlmiddle:

security:
  user:
    name: user
    password: pwd复制代码

Tip: Not recommended configuration management.security.enabled: false

After starting the application, you will see the following series of Mappings

Using the account password to access HTTP: // localhost: 8080 / the Application / Prometheus , Prometheus can see metrics data format

2, Prometheus index data collection Spring Boot

First, get the Prometheus Docker image:

$ docker pull prom/prometheus复制代码

Then, write a configuration file prometheus.yml:

global:
  scrape_interval: 10s
  scrape_timeout: 10s
  evaluation_interval: 10m
scrape_configs:
  - job_name: spring-boot
    scrape_interval: 5s
    scrape_timeout: 5s
    metrics_path: /application/prometheus
    scheme: http
    basic_auth:
      username: user
      password: pwd
    static_configs:
      - targets:
        - 127.0.0.1:8080  #此处填写 Spring Boot 应用的 IP + 端口号复制代码

Then, start Prometheus:

$ docker run -d \
--name prometheus \
-p 9090:9090 \
-m 500M \
-v "$(pwd)/prometheus.yml":/prometheus.yml \
-v "$(pwd)/data":/data \
prom/prometheus \
-config.file=/prometheus.yml \
-log.level=info复制代码

Finally, access to HTTP: // localhost: 9090 / Targets , check the Spring Boot collection status is normal.

3, Grafana visual monitoring data

First, get Grafana of Docker image:

$ docker pull grafana/grafana复制代码

Then, start Grafana:

$ docker run --name grafana -d -p 3000:3000 grafana/grafana复制代码

Next, access http: // localhost: 3000 / configuration Prometheus Source:

Grafana login account admin password admin

Finally, configure a single visual monitoring panel indicators:

Tip here can not fill any, can only fill existing index points, concrete can be seen in Prometheus home, namely http: // localhost: 9090 / graph

After several indicators multiple configurations, you can have the following effects:

Reference Documents

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