多云环境下的Docker部署策略实现

# 多云Kubernetes集群配置
apiVersion: v1
kind: Config
clusters:
- name: cloud1
  cluster:
    server: https://cloud1.example.com
    certificate-authority: /path/to/cloud1-ca.pem
- name: cloud2
  cluster:
    server: https://cloud2.example.com
    certificate-authority: /path/to/cloud2-ca.pem

version: '3'
services:
  web:
    image: nginx:latest
  db:
    image: mysql:latest

# 使用AWS ECR镜像仓库
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 1234567890.dkr.ecr.us-east-1.amazonaws.com

# 拉取镜像
docker pull 1234567890.dkr.ecr.us-east-1.amazonaws.com/my-image:latest

# 配置跨云DNS记录
cloud1.example.com A 1.2.3.4
cloud2.example.com A 5.6.7.8

# 配置跨云负载均衡规则
cloud1.example.com -> Cloud1Instance
cloud2.example.com -> Cloud2Instance

version: '3'
services:
  web:
    image: nginx:latest
    ports:
      - "80:80"
  db:
    image: mysql:latest
    environment:
      MYSQL_ROOT_PASSWORD: mysecretpassword

# 配置AWS安全组规则
aws ec2 authorize-security-group-ingress --group-id sg-0123456789abcdef0 --protocol tcp --port 80 --source 0.0.0.0/0

# 使用Clair进行容器安全扫描
clair-scanner my-image:latest

# 使用Prometheus和Grafana进行多云监控
docker-compose up -d prometheus grafana

# 使用ELK堆栈进行日志集中管理
version: '3'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.10.2
    ports:
      - "9200:9200"
    volumes:
      - elasticsearch-data:/usr/share/elasticsearch/data
  kibana:
    image: docker.elastic.co/kibana/kibana:7.10.2
    ports:
      - "5601:5601"
  logstash:
    image: docker.elastic.co/logstash/logstash:7.10.2
    volumes:
      - ./logstash.conf:/usr/share/logstash/pipeline/logstash.conf
    ports:
      - "5000:5000"
volumes:
  elasticsearch-data:

# 使用Jenkins进行多云CI/CD部署
pipeline {
    agent any
    stages {
        stage('Build') {
            steps {
                sh 'docker build -t my-app:latest .'
            }
        }
        stage('Push to Registry') {
            steps {
                sh 'docker push my-app:latest'
            }
        }
        stage('Deploy to Cloud1') {
            steps {
                sh 'kubectl apply -f deployment-cloud1.yaml'
            }
        }
        stage('Deploy to Cloud2') {
            steps {
                sh 'kubectl apply -f deployment-cloud2.yaml'
            }
        }
    }
}