# 步骤1：编写Dockerfile
$ cat Dockerfile
FROM python:3.9
WORKDIR /app
COPY requirements.txt .
RUN pip install –no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD [“python”, “app.py”]

# 步骤2：构建容器镜像
$ docker build -t fgedu/webapp:v1 .
Sending build context to Docker daemon 10.24kB
Step 1/6 : FROM python:3.9
—> 1234567890ab
Step 2/6 : WORKDIR /app
—> Running in 1a2b3c4d5e6f
Removing intermediate container 1a2b3c4d5e6f
—> 1234567890cd
Step 3/6 : COPY requirements.txt .
—> 1234567890de
Step 4/6 : RUN pip install –no-cache-dir -r requirements.txt
—> Running in 2a3b4c5d6e7f
Collecting flask
Downloading Flask-2.3.0-py3-none-any.whl (96 kB)
…
Successfully installed Flask-2.3.0
Removing intermediate container 2a3b4c5d6e7f
—> 1234567890ef
Step 5/6 : COPY . .
—> 1234567890f0
Step 6/6 : CMD [“python”, “app.py”]
—> Running in 3a4b5c6d7e8f
Removing intermediate container 3a4b5c6d7e8f
—> 1234567890f1
Successfully built 1234567890f1
Successfully tagged fgedu/webapp:v1

# 步骤3：运行容器
$ docker run -d –name webapp -p 8080:8000 fgedu/webapp:v1
1234567890ab

# 步骤4：查看容器状态
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
1234567890ab fgedu/webapp:v1 “python app.py” 10 seconds ago Up 9 seconds 0.0.0.0:8080->8000/tcp webapp

# 步骤5：查看容器日志
$ docker logs webapp
* Running on http://0.0.0.0:8000

# 步骤1：创建Deployment
$ cat webapp-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: webapp
labels:
app: webapp
spec:
replicas: 3
selector:
matchLabels:
app: webapp
template:
metadata:
labels:
app: webapp
spec:
containers:
– name: webapp
image: fgedu/webapp:v1
ports:
– containerPort: 8000
resources:
requests:
memory: “256Mi”
cpu: “250m”
limits:
memory: “512Mi”
cpu: “500m”

# 步骤2：创建Service
$ cat webapp-service.yaml
apiVersion: v1
kind: Service
metadata:
name: webapp-service
spec:
selector:
app: webapp
ports:
– port: 80
targetPort: 8000
type: LoadBalancer

# 步骤3：应用配置
$ kubectl apply -f webapp-deployment.yaml
deployment.apps/webapp created

$ kubectl apply -f webapp-service.yaml
service/webapp-service created

# 步骤4：查看部署状态
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
webapp-789012-abcde 1/1 Running 0 2m
webapp-789012-fghij 1/1 Running 0 2m
webapp-789012-klmno 1/1 Running 0 2m

$ kubectl get services
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
webapp-service LoadBalancer 10.96.0.1 80:31234/TCP 2m

# Jenkins Pipeline示例
$ cat Jenkinsfile
pipeline {
agent any
stages {
stage(‘Build’) {
steps {
sh ‘docker build -t fgedu/webapp:${BUILD_NUMBER} .’
}
}
stage(‘Test’) {
steps {
sh ‘docker run –rm fgedu/webapp:${BUILD_NUMBER} pytest’
}
}
stage(‘Push’) {
steps {
sh ‘docker tag fgedu/webapp:${BUILD_NUMBER} registry.fgedu.net.cn/fgedu/webapp:${BUILD_NUMBER}’
sh ‘docker push registry.fgedu.net.cn/fgedu/webapp:${BUILD_NUMBER}’
}
}
stage(‘Deploy’) {
steps {
sh ‘kubectl set image deployment/webapp webapp=registry.fgedu.net.cn/fgedu/webapp:${BUILD_NUMBER}’
}
}
}
}

# 执行流水线
# 通过代码提交或手动触发

# 查看部署状态
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
webapp-789012-abcde 1/1 Running 0 5m
webapp-789012-fghij 1/1 Running 0 5m
webapp-789012-klmno 1/1 Running 0 5m

# 步骤1：在私有云部署容器
$ kubectl config use-context private-cloud
$ kubectl apply -f webapp-deployment.yaml

# 步骤2：在公有云部署容器
$ kubectl config use-context public-cloud
$ kubectl apply -f webapp-deployment.yaml

# 步骤3：配置跨云服务发现
# 使用Service Mesh或DNS实现跨云服务发现

# 步骤4：配置负载均衡
# 使用全局负载均衡器实现跨云负载均衡