SpringBoot2.6.13部署监控服务Prometheus+Grafana

在SpringBoot项目中引入Prometheus的依赖包：

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!-- 集成micrometer，将监控数据存储到prometheus -->
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

由于prometheus需要springboot暴露端口，需要同时引入actuator依赖,从docker仓库中拉去prometheus的镜像：docker pull bitnami/prometheus

启动一个prometheus容器：

docker run -u root --name prometheus -d -p 192.168.137.18:9090:9090 -v /usr/local/scion/prometheus/prometheus.yml:/conf/prometheus.yml bitnami/prometheus

# 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: "prometheus"

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ["localhost:9090"]
 
  - job_name: 'auto-generator'
    scrape_interval: 5s
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['192.168.137.18:9000']
        "labels": {
            "instance": "devtools-service",
            "service": "devtools-service"
        }

在prometheus.yml中添加自己的服务，格式按照prometheus这个job的示例

安装一个grafana的仪表盘：

docker run -d --name=grafana -p 3000:3000 grafana/grafana

Grafana默认用户名:密码 admin:admin，进入后修改密码

配置数据源

导入jvm监控仪表板