SpringBoot 如何加入 Prometheus & Grafana 監控

19 days ago

SpringBoot 如何加入 Prometheus & Grafana 監控

基本都是要用 SpringBoot2 了啊, 就不要想問 1.x 版了

SpringBoot

1.增加套件依賴

pom.xml

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
 
 
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

actuator 是 SpringBoot 提供管理與監控的基礎套件
micrometer-registry-prometheus 則是將 Spring 的監控資訊轉成 Prometheus 可以吃的格式

2.配置

bootstrap-prod.yml

management:

  endpoints:

    web:

      exposure:

        include: '*'

  endpoint:

    shutdown:

      enabled: false

Spring 預設只暴露兩個監控指標 health 跟 info, 如果沒有太多考量的話可以用 * 來暴露所有的

3.重新打包

Done!

Spring 的部分就結束了

你可以實際測試一下監控點

curl -X GET \
  http://127.0.0.1:8080/actuator/prometheus

得到會是這樣的資料

# HELP jvm_buffer_count An estimate of the number of buffers in the pool
# TYPE jvm_buffer_count gauge
jvm_buffer_count{id="direct",} 1.0
jvm_buffer_count{id="mapped",} 0.0
# HELP http_server_requests_seconds 
# TYPE http_server_requests_seconds summary

Prometheus

接下來需要 Prometheus 來把監控數據拉回去儲存

1.配置檔

首先你必須準備個 prometheus.yml 配置檔

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).

 

# A scrape configuration containing exactly one endpoint to scrape:

# Here it's Prometheus itself.

scrape_configs:

  - job_name: 'prometheus'

    static_configs:

      - targets: ['localhost:9090']

  - job_name: 'springboot'

    metrics_path: '/actuator/prometheus'

    static_configs:

      - targets: ['127.0.0.1:8080']

這是最簡單的範例, 也不做 alert 了, 交給 Grafana 處理就好, 很多服務就 job_name 一直往下加就可以了

2.啟動

直接啟動

docker run -p 9090:9090 -v /Users/sam/temp/prometheus.yml:/etc/prometheus/prometheus.yml \
  prom/prometheus

需要儲存數據要先把要掛進去的資料夾處理一下

sudo chown -R 65534 /prometheus/data

再啟動

docker run -d -p 9090:9090 \
  -v /prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
  -v /prometheus/data:/prometheus \
  prom/prometheus --web.enable-lifecycle --config.file=/etc/prometheus/prometheus.yml

http://localhost:9090/graph