spring cloud nacos docker环境下单点部署

nacos 服务端部署镜像

单点模式下的docker-compose

version: "3.7"
services:
  nacos:
    image: nacos/nacos-server:2.0.3
    environment:
     PREFER_HOST_MODE: hostname
     MODE: standalone
    volumes:
     - /home/nacos/standalone-logs/:/home/nacos/logs
     - /home/nacos/init.d/custom.properties:/home/nacos/init.d/custom.properties
    ports:
     - "8848:8848"
     - "9848:9848"
    
  prometheus:
    image: prom/prometheus:latest
    volumes:
      - /etc/prometheus/prometheus-standalone.yaml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
    depends_on:
      - nacos
    restart: always
    
  grafana:
    image: grafana/grafana:latest
    ports:
      - 3000:3000
    restart: always

custom.properties

#spring.security.enabled=false
#management.security=false
#security.basic.enabled=false
#nacos.security.ignore.urls=/**
#management.metrics.export.elastic.host=http://localhost:9200
# metrics for prometheus
management.endpoints.web.exposure.include=*

# metrics for elastic search
#management.metrics.export.elastic.enabled=false
#management.metrics.export.elastic.host=http://localhost:9200

# metrics for influx
#management.metrics.export.influx.enabled=false
#management.metrics.export.influx.db=springboot
#management.metrics.export.influx.uri=http://localhost:8086
#management.metrics.export.influx.auto-create-db=true
#management.metrics.export.influx.consistency=one
#management.metrics.export.influx.compressed=true

prometheus-standalone.yaml

# 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 defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'nacos'
    metrics_path: '/nacos/actuator/prometheus'
    static_configs:
      - targets: ['nacos:8848']

nacos docker镜像支持的环境变量

结合prometheus和grafana监控Nacos

Nacos 0.8.0版本之后支持通过暴露metrics数据接入第三方监控系统监控Nacos运行状态

搭建nacos并暴露metrics数据

按上文所示，搭建好环境后，修改 custom.properties 文件，暴露监控端点，随后访问 http:{ip}:8848/nacos/actuator/prometheus 可以看到数据

management.endpoints.web.exposure.include=*

通过prometheus采集Nacos metrics数据

访问 http://{ip}:9090/graph ，搜索 nacos_monitor 查看数据是否采集成功

通过grafana展示数据

访问 grafana: http://{ip}:3000 ，配置数据

• 配置prometheus数据源

  
  QQ截图20210916165617.png

• 导入Nacos grafana监控模版
  

  QQ截图20210916165827.png

• 导入成功后即可看到监控面板

  
  QQ截图20210916165914.png

nacos 开发端接入

1. 添加依赖

<dependency>
    <groupId>com.alibaba.cloud</groupId>
    <artifactId>spring-cloud-starter-alibaba-nacos-config</artifactId>
    <version>2.2.6.RELEASE</version>
</dependency>

注意 spring-cloud-alibaba-dependencies 与 spring-cloud-dependencies 有对应关系，阿里提供了毕业版本推荐依赖关系。
注意：版本 2.1.x.RELEASE 对应的是 Spring Boot 2.1.x 版本。版本 2.0.x.RELEASE 对应的是 Spring Boot 2.0.x 版本，版本 1.5.x.RELEASE 对应的是 Spring Boot 1.5.x 版本。

2. 在 application.yml 中配置 Nacos server 的地址和应用名

spring:
  cloud:
    nacos:
      discovery:
        enabled: true
        service: {serviceName}
        server-addr: {ip:8848}

3. 在启动类上增加注解 @EnableDiscoveryClient 开启服务注册发现功能
4. 给RestTemplate实例添加 @LoadBalanced 注解，可以开启负载均衡