一:Spring Boot Actuator
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Spring-boot-actuator 可在将应用程序投入生产时监视和管理应用程序。可以选择使用 HTTP 端点或 JMX 来管理和监控应用程序
-
Spring boot 应用中引入
Spring-boot-actuator
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency>
3.application.yml文件配置
# management management: endpoints: web: exposure: include: "*" endpoint: health: show-details: ALWAYS
4.Spring Boot Actuator内置Endpoints
二:
Prometheus
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将Micrometer Prometheus 注册添加到Spring Boot应用。
<dependency> <groupId>io.micrometer</groupId> <artifactId>micrometer-registry-prometheus</artifactId> </dependency>
2.Docker 拉取
Prometheus镜像
docker pull prom/prometheus
3.
Prometheus 配置文件
# 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). # 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: ['127.0.0.1:9090'] - job_name: 'spring-actuator' metrics_path: '/mybatis/actuator/prometheus' scrape_interval: 5s static_configs: - targets: ['112.74.105.178:8888']
4.运行
Prometheus容器
docker run -d --name=prometheus -p 9090:9090 -v /mnt/demo/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus --config.file=/etc/prometheus/prometheus.yml
5.查看
Prometheus运行情况
三:Grafana
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Docker 运行Grafana镜像
docker run -d --name=grafana -p 3000:3000 grafana/grafana
2.
Grafana 配置
Prometheus数据源
3.监控dashboard
原创文章,作者:kepupublish,如若转载,请注明出处:https://blog.ytso.com/tech/opensource/197460.html