# 2. 实施步骤
# 步骤1：安装Pulumi
# 步骤2：创建Pulumi项目
# 步骤3：编辑基础设施代码
# 步骤4：预览更改
# 步骤5：应用更改
# 步骤6：验证部署
# 步骤7：测试与验证

# 3. 应用效果
# 实现了对AWS基础设施的自动化部署
# 提高了基础设施部署的效率
# 确保了基础设施的一致性

# 创建Pulumi项目
mkdir -p pulumi-s3
cd pulumi-s3
pulumi new aws-python

# 编辑__main__.py文件
cat > __main__.py << 'EOF' import pulumi import pulumi_aws as aws # Create an AWS resource (S3 Bucket) bucket = aws.s3.Bucket('fgedu-bucket', acl='private' ) # Export the name of the bucket pulumi.export('bucket_name', bucket.id) EOF # 预览更改 pulumi preview # 应用更改 pulumi up # 查看状态 pulumi stack output # 验证部署 # 登录AWS控制台查看创建的S3存储桶

# 2. 实施步骤
# 步骤1：创建Pulumi项目
# 步骤2：创建模块文件
# 步骤3：编辑基础设施代码
# 步骤4：创建不同环境的栈
# 步骤5：预览更改
# 步骤6：应用更改
# 步骤7：验证部署
# 步骤8：测试与验证

# 3. 应用效果
# 实现了对多环境基础设施的自动化部署
# 提高了基础设施部署的效率
# 确保了基础设施的一致性

# 创建Pulumi项目
mkdir -p pulumi-webserver
cd pulumi-webserver
pulumi new aws-python

# 创建模块文件
cat > webserver.py << 'EOF' import pulumi import pulumi_aws as aws class WebServer(pulumi.ComponentResource): def __init__(self, name, instance_type='t2.micro', opts=None): super().__init__('fgedu:component:WebServer', name, {}, opts) # Create security group self.sg = aws.ec2.SecurityGroup(f'{name}-sg', description='Allow SSH and HTTP', ingress=[ {'protocol': 'tcp', 'from_port': 22, 'to_port': 22, 'cidr_blocks': ['0.0.0.0/0']}, {'protocol': 'tcp', 'from_port': 80, 'to_port': 80, 'cidr_blocks': ['0.0.0.0/0']}, ], egress=[ {'protocol': '-1', 'from_port': 0, 'to_port': 0, 'cidr_blocks': ['0.0.0.0/0']}, ], opts=pulumi.ResourceOptions(parent=self) ) # Create EC2 instance self.instance = aws.ec2.Instance(f'{name}-instance', ami='ami-0c55b159cbfafe1f0', instance_type=instance_type, security_groups=[self.sg.name], user_data=''' #!/bin/bash yum update -y yum install -y httpd systemctl start httpd systemctl enable httpd echo "

Hello from Pulumi!

” > /var/www/html/index.html
”’,
opts=pulumi.ResourceOptions(parent=self)
)

# Export outputs
self.register_outputs({
‘instance_id’: self.instance.id,
‘public_ip’: self.instance.public_ip,
})
EOF

# 编辑__main__.py文件
cat > __main__.py << 'EOF' import pulumi from webserver import WebServer # Create web server web_server = WebServer('fgedu-web-server') # Export outputs pulumi.export('instance_id', web_server.instance.id) pulumi.export('public_ip', web_server.instance.public_ip) EOF # 创建开发环境栈 pulumi stack init dev # 配置开发环境 pulumi config set aws:region us-east-1 # 预览开发环境更改 pulumi preview # 应用开发环境更改 pulumi up # 创建测试环境栈 pulumi stack init test # 配置测试环境 pulumi config set aws:region us-east-1 # 预览测试环境更改 pulumi preview # 应用测试环境更改 pulumi up # 创建生产环境栈 pulumi stack init prod # 配置生产环境 pulumi config set aws:region us-east-1 # 编辑__main__.py文件，修改实例类型 cat > __main__.py << 'EOF' import pulumi from webserver import WebServer # Create web server web_server = WebServer('fgedu-web-server', instance_type='t2.medium') # Export outputs pulumi.export('instance_id', web_server.instance.id) pulumi.export('public_ip', web_server.instance.public_ip) EOF # 预览生产环境更改 pulumi preview # 应用生产环境更改 pulumi up # 查看状态 pulumi stack output

# 2. 实施步骤
# 步骤1：创建Pulumi项目
# 步骤2：编辑基础设施代码
# 步骤3：预览更改
# 步骤4：应用更改
# 步骤5：验证部署
# 步骤6：测试与验证

# 3. 应用效果
# 实现了对复杂基础设施的自动化部署
# 提高了基础设施部署的效率
# 确保了基础设施的一致性

# 创建Pulumi项目
mkdir -p pulumi-aws
cd pulumi-aws
pulumi new aws-python

# 编辑__main__.py文件
cat > __main__.py << 'EOF' import pulumi import pulumi_aws as aws # Create VPC vpc = aws.ec2.Vpc('fgedu-vpc', cidr_block='10.0.0.0/16' ) # Create subnet subnet = aws.ec2.Subnet('fgedu-subnet', vpc_id=vpc.id, cidr_block='10.0.1.0/24' ) # Create internet gateway igw = aws.ec2.InternetGateway('fgedu-igw', vpc_id=vpc.id ) # Create route table rt = aws.ec2.RouteTable('fgedu-rt', vpc_id=vpc.id, routes=[ aws.ec2.RouteTableRouteArgs( cidr_block='0.0.0.0/0', gateway_id=igw.id ) ] ) # Create route table association rta = aws.ec2.RouteTableAssociation('fgedu-rta', subnet_id=subnet.id, route_table_id=rt.id ) # Create security group sg = aws.ec2.SecurityGroup('fgedu-sg', vpc_id=vpc.id, description='Allow SSH, HTTP, and MySQL', ingress=[ {'protocol': 'tcp', 'from_port': 22, 'to_port': 22, 'cidr_blocks': ['0.0.0.0/0']}, {'protocol': 'tcp', 'from_port': 80, 'to_port': 80, 'cidr_blocks': ['0.0.0.0/0']}, {'protocol': 'tcp', 'from_port': 3306, 'to_port': 3306, 'cidr_blocks': ['10.0.0.0/16']}, ], egress=[ {'protocol': '-1', 'from_port': 0, 'to_port': 0, 'cidr_blocks': ['0.0.0.0/0']}, ] ) # Create EC2 instance instance = aws.ec2.Instance('fgedu-instance', ami='ami-0c55b159cbfafe1f0', instance_type='t2.micro', subnet_id=subnet.id, vpc_security_group_ids=[sg.id], user_data=''' #!/bin/bash yum update -y yum install -y httpd mysql systemctl start httpd systemctl enable httpd echo "

Hello from Pulumi!

” > /var/www/html/index.html
”’
)

# Create RDS instance
db = aws.rds.Instance(‘fgedu-db’,
engine=’mysql’,
engine_version=’5.7′,
instance_class=’db.t2.micro’,
allocated_storage=20,
db_name=’fgedudb’,
username=’admin’,
password=’password123′,
vpc_security_group_ids=[sg.id]
)

# Create S3 bucket
bucket = aws.s3.Bucket(‘fgedu-bucket’,
acl=’private’
)

# Export outputs
pulumi.export(‘vpc_id’, vpc.id)
pulumi.export(‘subnet_id’, subnet.id)
pulumi.export(‘sg_id’, sg.id)
pulumi.export(‘instance_id’, instance.id)
pulumi.export(‘public_ip’, instance.public_ip)
pulumi.export(‘db_endpoint’, db.endpoint)
pulumi.export(‘bucket_name’, bucket.id)
EOF

# 预览更改
pulumi preview

# 应用更改
pulumi up

# 查看状态
pulumi stack output

# 验证部署
# 登录AWS控制台查看创建的资源