一：Spring Boot Actuator
-
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
-
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
-
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
