基于docker compose的应用服务部署

来源：互联网发布：慧莫森软件科技编辑：程序博客网时间：2024/05/16 13:40

接上文介绍docker的编排工具来部署，这里采用原生的compose方式，以后再介绍k8s如何做。

本文介绍的例子为：https://github.com/JThink/SkyEye，4个服务提供了一组完整的应用。

直接上docker-compose.yml

version: '3'services:  skyeye-alarm:    image: 192.168.xx.xx:5000/xxx/skyeye-alarm:0.0.1    # container_name: skyeye-alarm    deploy:       resources:         limits:           memory: 512m      restart_policy:         condition: any    volumes:       - /tmp/logs/SkyEye/skyeye-alarm:/home/deploy/logs   skyeye-collector:    image: 192.168.xx.xx:5000/xxx/skyeye-collector:0.0.1    # container_name: skyeye-collector    deploy:       resources:         limits:           memory: 2g      replicas: 3      restart_policy:         condition: any    volumes:       - /tmp/logs/SkyEye/skyeye-collector:/home/deploy/logs   skyeye-monitor:    image: 192.168.xx.xx:5000/xxx/skyeye-monitor:0.0.1    # container_name: skyeye-monitor    deploy:       resources:         limits:           memory: 1g      restart_policy:         condition: any    volumes:       - /tmp/logs/SkyEye/skyeye-monitor:/home/deploy/logs   skyeye-web:    image: 192.168.xx.xx:5000/xxx/skyeye-web:0.0.1    # container_name: skyeye-web    deploy:       resources:         limits:           memory: 4g      restart_policy:         condition: any    volumes:       - /tmp/logs/SkyEye/skyeye-web:/home/deploy/logs     ports:     - "8090:8090"

部署配置比较简单，不多做介绍。

启动：docker stack deploy --with-registry-auth --compose-file docker-compose.yml SkyEye

停止：docker stack rm SkyEye

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