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>
Spring配置
management.endpoints.web.exposure.include=*
management.metrics.tags.application=${spring.application.name}
prometheus_21">搭建prometheus
下载Prometheus镜像
docker pull prom/prometheus
prometheus_26">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"]
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
可以查看容器启动日志确认是否启动成功：
docker logs xxxx
访问http://xxxxxxxxxx:9090即可
搭建Grafana
docker pull grafana/grafana
docker run -d --name grafana -p 3000:3000 grafana/grafana
访问http://localhost:3000
prometheus_84">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
