从 ”以应用为中心“ 的交付看DevOps平台的演进趋势

# ================================================
# 应用部署模板 - Kubernetes 云原生服务编排示例
# 对应架构图左侧「代码库」「制品/镜像」「配置信息」与右侧「部署环境」
# ================================================

---
# 部署环境定义（对应架构图右侧「dev/uat/prod」）
# 使用命名空间隔离不同环境（此处以prod为例）
apiVersion: v1
kind: Namespace
metadata:
  name: prod
  labels:
    env: production

---
# ------------------------------------------------
# 核心部署配置（对应架构图左侧「制品/镜像」+「配置信息」）
# ------------------------------------------------

# 配置信息（ConfigMap对应架构图左侧「配置信息」模块）
apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
  namespace: prod  # 绑定prod环境命名空间
data:
  app.properties: |
    # 应用运行时配置
    db.host=mysql.prod.svc.cluster.local
    cache.enabled=true
    log.level=INFO

---
# 敏感信息配置（Secret属于特殊类型的配置信息）
apiVersion: v1
kind: Secret
metadata:
  name: db-credentials
  namespace: prod
type: Opaque
data:
  username: YWRtaW4=  # admin base64编码
  password: cGFzc3dvcmQxMjM=  # password123 base64编码

---
# ------------------------------------------------
# 服务编排核心定义（对应架构图下方「服务编排(云原生)」模块）
# ------------------------------------------------

# 部署控制器（Deployment实现滚动更新策略）
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp-deployment  # 部署版本标识
  namespace: prod
  labels:
    app: myapp
    track: stable  # 部署策略标识
spec:
  replicas:   # 初始副本数
  strategy:
    type: RollingUpdate  # 部署策略-滚动更新
    rollingUpdate:
      maxSurge: 
      maxUnavailable: 
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
        env: prod
    spec:
      containers:
      - name: app-container
        image: registry.example.com/myapp:v1.2.3  # 制品/镜像（来自CI/CD流水线构建）
        imagePullPolicy: Always
        ports:
        - containerPort: 
        env:
        - name: DB_HOST
          valueFrom:
            configMapKeyRef:
              name: app-config
              key: db.host
        - name: DB_USERNAME
          valueFrom:
            secretKeyRef:
              name: db-credentials
              key: username
        resources:
          requests:
            cpu: "100m"
            memory: "256Mi"
          limits:
            cpu: "500m"
            memory: "512Mi"
        livenessProbe:  # 健康检查（可观测性）
          httpGet:
            path: /health
            port: 
          initialDelaySeconds: 
          periodSeconds: 

---
# 服务暴露（Service实现服务发现）
apiVersion: v1
kind: Service
metadata:
  name: myapp-service
  namespace: prod
spec:
  type: ClusterIP  # 生产环境建议使用LoadBalancer
  selector:
    app: myapp
  ports:
  - name: http
    port: 
    targetPort: 
    protocol: TCP

---
# ------------------------------------------------
# 弹性伸缩策略（对应架构图「部署策略」模块）
# ------------------------------------------------
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-hpa
  namespace: prod
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp-deployment
  minReplicas: 
  maxReplicas: 
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 

# ================================================
# 部署执行说明：
# 1. 代码库变更触发CI/CD流水线构建镜像（更新image版本）
# 2. 通过kubectl apply -f 应用部署模板文件.yaml
# 3. 监控部署状态：kubectl -n prod get pods,svc,hpa
# ================================================

# File: infrastructure.yaml
# 定义主机环境、应用包版本等基础设施信息
environments:
  - name: dev
    hosts:
      - ip: 192.168.1.101
        user: dev-user
        deploy_dir: /opt/apps/dev
    app_version: 1.0.0-SNAPSHOT

  - name: prod
    hosts:
      - ip: 192.168.1.200
        user: prod-admin
        deploy_dir: /opt/apps/prod
    app_version: 1.0.0-RELEASE

# 全局配置模板（与环境解耦）
global_config:
  app_name: "my-spring-boot-app"
  java_opts: "-Xmx512m -Xms256m"
  health_check_url: "/actuator/health"

# File: config/prod.env
# 生产环境数据库配置（敏感信息单独管理）
DB_HOST=mysql.prod.internal
DB_PORT=3306
DB_USER=admin
DB_PASSWORD=encrypted_password_here  # 建议使用加密工具（如Ansible Vault）

# File: config/dev.env
# 开发环境数据库配置
DB_HOST=localhost
DB_PORT=3306
DB_USER=dev
DB_PASSWORD=dev123

#!/bin/bash
# File: deploy.sh
# 参数化部署：指定环境（dev/prod）和应用包路径
ENV=$1
APP_PACKAGE=$2

# 加载基础设施定义
INFRA_FILE="infrastructure.yaml"
APP_NAME=$(yq eval '.global_config.app_name' $INFRA_FILE)
DEPLOY_DIR=$(yq eval ".environments[] | select(.name == \"$ENV\").hosts[0].deploy_dir" $INFRA_FILE)
REMOTE_USER=$(yq eval ".environments[] | select(.name == \"$ENV\").hosts[0].user" $INFRA_FILE)
REMOTE_IP=$(yq eval ".environments[] | select(.name == \"$ENV\").hosts[0].ip" $INFRA_FILE)

# 加载环境配置
CONFIG_FILE="config/$ENV.env"
source $CONFIG_FILE

# 生成动态应用配置（模板化）
cat > application.properties <<EOF
# Auto-generated configuration for $ENV
spring.datasource.url=jdbc:mysql://${DB_HOST}:${DB_PORT}/${APP_NAME}_${ENV}
spring.datasource.username=${DB_USER}
spring.datasource.password=${DB_PASSWORD}
server.port=8080
EOF

# 执行部署动作
echo "Deploying $APP_NAME ($ENV) to $REMOTE_IP..."
ssh $REMOTE_USER@$REMOTE_IP "mkdir -p $DEPLOY_DIR && systemctl stop $APP_NAME"
scp $APP_PACKAGE $REMOTE_USER@$REMOTE_IP:$DEPLOY_DIR/
scp application.properties $REMOTE_USER@$REMOTE_IP:$DEPLOY_DIR/config/

# 启动服务（假设已配置systemd服务单元）
ssh $REMOTE_USER@$REMOTE_IP "\
  chmod +x $DEPLOY_DIR/$(basename $APP_PACKAGE) && \
  systemctl daemon-reload && \
  systemctl start $APP_NAME && \
  systemctl status $APP_NAME"

# File: templates/my-spring-boot-app.service.j2
# Systemd 服务单元模板（由部署脚本动态生成）
[Unit]
Description={{ global_config.app_name }} ({{ env }})
After=network.target

[Service]
User={{ user }}
WorkingDirectory={{ deploy_dir }}
ExecStart=/usr/bin/java {{ global_config.java_opts }} -jar {{ deploy_dir }}/{{ app_package }}
EnvironmentFile={{ deploy_dir }}/config/application.properties
Restart=always

[Install]
WantedBy=multi-user.target

# 部署到生产环境
./deploy.sh prod my-app-1.0.0-RELEASE.jar

# 部署到开发环境
./deploy.sh dev my-app-1.0.0-SNAPSHOT.jar