搭建Grafana+Prometheus监控Spring Boot应用

Spring项目改造

maven依赖

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

<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>
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Spring配置

management.endpoints.web.exposure.include=*
management.metrics.tags.application=${spring.application.name}
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搭建prometheus

下载Prometheus镜像

docker pull prom/prometheus
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创建prometheus配置

/opt/docker/prometheus/config目录下创建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: "prometheus"

    metrics_path: '/actuator/prometheus'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ["10.10.10.10:9090"]

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targets配置目标java应用的ip端口，例如10.10.10.10:9090

启动Prometheus

docker run -d -p 9090:9090 --name prom \
-v /opt/docker/prometheus/config/prometheus.yml:/etc/prometheus/prometheus.yml \
prom/prometheus
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可以查看容器启动日志确认是否启动成功：

docker logs xxxx
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访问http://xxxxxxxxxx:9090即可

搭建Grafana

docker pull grafana/grafana
docker run -d --name grafana -p 3000:3000 grafana/grafana
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访问http://localhost:3000

配置prometheus数据源

配置Dashboards

下载模板

Dashboards模板下载地址：https://grafana.com/grafana/dashboards/

导入模板