Can you help me write a python script using AWS CDK that will allow me to upload a VMDK file to S3, use import-image api of ec2 to create a snapshot and subsequently create a ec2 instance and an EBS volume out of the same? Can you show me what would code for such a thing look like?
user
Can you help me write a python script using AWS CDK that will allow me to upload a VMDK file to S3, use import-image api of ec2 to create a snapshot and subsequently create a ec2 instance and an EBS volume out of the same? Can you show me what would code for such a thing look like?
assistant
Can you help me write a python script using AWS CDK that will allow me to upload a VMDK file to S3, use import-image api of ec2 to create a snapshot and subsequently create a ec2 instance and an EBS volume out of the same? Can you show me what would code for such a thing look like?
user
Sure, I'll provide an example using AWS CDK with Python that achieves the following:

1. Creates an S3 bucket to store your VMDK file.
2. Provides an example of using AWS CLI to upload the VMDK file to S3 and trigger the import process.
3. Creates an EBS snapshot in your account.
4. Creates an EC2 instance and attaches the EBS volume created from the snapshot.

Please make sure you've installed AWS CDK and configured your AWS credentials. Then, create a new CDK app and add the following code in `app.py`.

```python
#!/usr/bin/env python3

from aws_cdk import core
from vmdk_to_ec2.vmdk_to_ec2_stack import VmdkToEc2Stack

app = core.App()
VmdkToEc2Stack(app, "VmdkToEc2Stack")

app.synth()
```

Create a new folder named `vmdk_to_ec2` and within that folder, create the `vmdk_to_ec2_stack.py` file.

Paste the following code into `vmdk_to_ec2_stack.py`:

```python
from aws_cdk import (
    core,
    aws_ec2 as ec2,
    aws_s3 as s3
)

class VmdkToEc2Stack(core.Stack):

    def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        my_bucket = s3.Bucket(self, "VMDKUploadBucket", versioned=True, removal_policy=core.RemovalPolicy.DESTROY)

        # Create a security group
        security_group = ec2.SecurityGroup(self, "SG",
                                           vpc=ec2.Vpc.from_lookup(self, "default", is_default=True))

        # Add an ingress rule to allow SSH
        security_group.add_ingress_rule(peer=ec2.Peer.any_ipv4(), connection=ec2.Port.tcp(22), description="Allow SSH")

        # Create an EC2 instance using Amazon Linux 2 and attach the security group
        instance = ec2.Instance(self, "EC2Instance",
                                instance_type=ec2.InstanceType("t2.micro"),
                                machine_image=ec2.MachineImage.latest_amazon_linux(),
                                vpc=ec2.Vpc.from_lookup(self, "default", is_default=True),
                                security_group=security_group)

        # Output the S3 bucket name
        output_bucket = core.CfnOutput(self, "VMDKUploadBucketOutput",
                                       value=my_bucket.bucket_name,
                                       description="Bucket to upload VMDK")

```

Now, deploy the stack using the command:

```
cdk deploy --require-approval never
```

Once the stack has been deployed, you'll get the S3 bucket name. Upload your VMDK to this S3 bucket using the AWS CLI tool. Replace `BUCKET_NAME` and `PATH_TO_VMDK` with the appropriate values.

```
aws s3 cp PATH_TO_VMDK s3://BUCKET_NAME/
```

Next, run the following command to initiate the import process. Replace `BUCKET_NAME`, `VMDK_FILENAME`, and `ROLE_NAME` with the appropriate values.

```
aws ec2 import-image --disk-containers "file://<(
  cat << EOT
   {
     "Description": "My server",
     "Format": "VMDK",
     "Url": "https://s3.amazonaws.com/BUCKET_NAME/VMDK_FILENAME",
     "UserBucket": {
         "S3Bucket": "BUCKET_NAME",
         "S3Key": "VMDK_FILENAME"
     }
   }
EOT
)" --role-name ROLE_NAME
```

Once the import process completes, you should find the snapshot in the EC2 console. Now, modify the `vmdk_to_ec2_stack.py` to create an EBS volume from the snapshot and attach it to the EC2 instance. Replace `YOUR_SNAPSHOT_ID_HERE` with your snapshot ID.

```python
        # Create an EBS volume from the snapshot
        ebs_volume = ec2.Volume(self, "EBSVolume",
                                 availability_zone=instance.instance_availability_zone,
                                 snapshot_id="YOUR_SNAPSHOT_ID_HERE",
                                 removal_policy=core.RemovalPolicy.DESTROY)

        # Attach the EBS volume to the EC2 instance
        ec2.CfnVolumeAttachment(self, "VolumeAttachment",
                                 instance_id=instance.instance_id,
                                 volume_id=ebs_volume.volume_id,
                                 device="/dev/xvdb")
```

Deploy the stack again using the `cdk deploy` command as seen before.

This will create an EC2 instance with an EBS volume created from the imported snapshot. Please note that the import process usually takes time depending on the size of the VMDK file. Keep in mind that you
assistant
Sure, I'll provide an example using AWS CDK with Python that achieves the following:

1. Creates an S3 bucket to store your VMDK file.
2. Provides an example of using AWS CLI to upload the VMDK file to S3 and trigger the import process.
3. Creates an EBS snapshot in your account.
4. Creates an EC2 instance and attaches the EBS volume created from the snapshot.

Please make sure you've installed AWS CDK and configured your AWS credentials. Then, create a new CDK app and add the following code in `app.py`.

```python
#!/usr/bin/env python3

from aws_cdk import core
from vmdk_to_ec2.vmdk_to_ec2_stack import VmdkToEc2Stack

app = core.App()
VmdkToEc2Stack(app, "VmdkToEc2Stack")

app.synth()
```

Create a new folder named `vmdk_to_ec2` and within that folder, create the `vmdk_to_ec2_stack.py` file.

Paste the following code into `vmdk_to_ec2_stack.py`:

```python
from aws_cdk import (
    core,
    aws_ec2 as ec2,
    aws_s3 as s3
)

class VmdkToEc2Stack(core.Stack):

    def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        my_bucket = s3.Bucket(self, "VMDKUploadBucket", versioned=True, removal_policy=core.RemovalPolicy.DESTROY)

        # Create a security group
        security_group = ec2.SecurityGroup(self, "SG",
                                           vpc=ec2.Vpc.from_lookup(self, "default", is_default=True))

        # Add an ingress rule to allow SSH
        security_group.add_ingress_rule(peer=ec2.Peer.any_ipv4(), connection=ec2.Port.tcp(22), description="Allow SSH")

        # Create an EC2 instance using Amazon Linux 2 and attach the security group
        instance = ec2.Instance(self, "EC2Instance",
                                instance_type=ec2.InstanceType("t2.micro"),
                                machine_image=ec2.MachineImage.latest_amazon_linux(),
                                vpc=ec2.Vpc.from_lookup(self, "default", is_default=True),
                                security_group=security_group)

        # Output the S3 bucket name
        output_bucket = core.CfnOutput(self, "VMDKUploadBucketOutput",
                                       value=my_bucket.bucket_name,
                                       description="Bucket to upload VMDK")

```

Now, deploy the stack using the command:

```
cdk deploy --require-approval never
```

Once the stack has been deployed, you'll get the S3 bucket name. Upload your VMDK to this S3 bucket using the AWS CLI tool. Replace `BUCKET_NAME` and `PATH_TO_VMDK` with the appropriate values.

```
aws s3 cp PATH_TO_VMDK s3://BUCKET_NAME/
```

Next, run the following command to initiate the import process. Replace `BUCKET_NAME`, `VMDK_FILENAME`, and `ROLE_NAME` with the appropriate values.

```
aws ec2 import-image --disk-containers "file://<(
  cat << EOT
   {
     "Description": "My server",
     "Format": "VMDK",
     "Url": "https://s3.amazonaws.com/BUCKET_NAME/VMDK_FILENAME",
     "UserBucket": {
         "S3Bucket": "BUCKET_NAME",
         "S3Key": "VMDK_FILENAME"
     }
   }
EOT
)" --role-name ROLE_NAME
```

Once the import process completes, you should find the snapshot in the EC2 console. Now, modify the `vmdk_to_ec2_stack.py` to create an EBS volume from the snapshot and attach it to the EC2 instance. Replace `YOUR_SNAPSHOT_ID_HERE` with your snapshot ID.

```python
        # Create an EBS volume from the snapshot
        ebs_volume = ec2.Volume(self, "EBSVolume",
                                 availability_zone=instance.instance_availability_zone,
                                 snapshot_id="YOUR_SNAPSHOT_ID_HERE",
                                 removal_policy=core.RemovalPolicy.DESTROY)

        # Attach the EBS volume to the EC2 instance
        ec2.CfnVolumeAttachment(self, "VolumeAttachment",
                                 instance_id=instance.instance_id,
                                 volume_id=ebs_volume.volume_id,
                                 device="/dev/xvdb")
```

Deploy the stack again using the `cdk deploy` command as seen before.

This will create an EC2 instance with an EBS volume created from the imported snapshot. Please note that the import process usually takes time depending on the size of the VMDK file. Keep in mind that you
user
Sure, I'll provide an example using AWS CDK with Python that achieves the following:

1. Creates an S3 bucket to store your VMDK file.
2. Provides an example of using AWS CLI to upload the VMDK file to S3 and trigger the import process.
3. Creates an EBS snapshot in your account.
4. Creates an EC2 instance and attaches the EBS volume created from the snapshot.

Please make sure you've installed AWS CDK and configured your AWS credentials. Then, create a new CDK app and add the following code in `app.py`.

```python
#!/usr/bin/env python3

from aws_cdk import core
from vmdk_to_ec2.vmdk_to_ec2_stack import VmdkToEc2Stack

app = core.App()
VmdkToEc2Stack(app, "VmdkToEc2Stack")

app.synth()
```

Create a new folder named `vmdk_to_ec2` and within that folder, create the `vmdk_to_ec2_stack.py` file.

Paste the following code into `vmdk_to_ec2_stack.py`:

```python
from aws_cdk import (
    core,
    aws_ec2 as ec2,
    aws_s3 as s3
)

class VmdkToEc2Stack(core.Stack):

    def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        my_bucket = s3.Bucket(self, "VMDKUploadBucket", versioned=True, removal_policy=core.RemovalPolicy.DESTROY)

        # Create a security group
        security_group = ec2.SecurityGroup(self, "SG",
                                           vpc=ec2.Vpc.from_lookup(self, "default", is_default=True))

        # Add an ingress rule to allow SSH
        security_group.add_ingress_rule(peer=ec2.Peer.any_ipv4(), connection=ec2.Port.tcp(22), description="Allow SSH")

        # Create an EC2 instance using Amazon Linux 2 and attach the security group
        instance = ec2.Instance(self, "EC2Instance",
                                instance_type=ec2.InstanceType("t2.micro"),
                                machine_image=ec2.MachineImage.latest_amazon_linux(),
                                vpc=ec2.Vpc.from_lookup(self, "default", is_default=True),
                                security_group=security_group)

        # Output the S3 bucket name
        output_bucket = core.CfnOutput(self, "VMDKUploadBucketOutput",
                                       value=my_bucket.bucket_name,
                                       description="Bucket to upload VMDK")

```

Now, deploy the stack using the command:

```
cdk deploy --require-approval never
```

Once the stack has been deployed, you'll get the S3 bucket name. Upload your VMDK to this S3 bucket using the AWS CLI tool. Replace `BUCKET_NAME` and `PATH_TO_VMDK` with the appropriate values.

```
aws s3 cp PATH_TO_VMDK s3://BUCKET_NAME/
```

Next, run the following command to initiate the import process. Replace `BUCKET_NAME`, `VMDK_FILENAME`, and `ROLE_NAME` with the appropriate values.

```
aws ec2 import-image --disk-containers "file://<(
  cat << EOT
   {
     "Description": "My server",
     "Format": "VMDK",
     "Url": "https://s3.amazonaws.com/BUCKET_NAME/VMDK_FILENAME",
     "UserBucket": {
         "S3Bucket": "BUCKET_NAME",
         "S3Key": "VMDK_FILENAME"
     }
   }
EOT
)" --role-name ROLE_NAME
```

Once the import process completes, you should find the snapshot in the EC2 console. Now, modify the `vmdk_to_ec2_stack.py` to create an EBS volume from the snapshot and attach it to the EC2 instance. Replace `YOUR_SNAPSHOT_ID_HERE` with your snapshot ID.

```python
        # Create an EBS volume from the snapshot
        ebs_volume = ec2.Volume(self, "EBSVolume",
                                 availability_zone=instance.instance_availability_zone,
                                 snapshot_id="YOUR_SNAPSHOT_ID_HERE",
                                 removal_policy=core.RemovalPolicy.DESTROY)

        # Attach the EBS volume to the EC2 instance
        ec2.CfnVolumeAttachment(self, "VolumeAttachment",
                                 instance_id=instance.instance_id,
                                 volume_id=ebs_volume.volume_id,
                                 device="/dev/xvdb")
```

Deploy the stack again using the `cdk deploy` command as seen before.

This will create an EC2 instance with an EBS volume created from the imported snapshot. Please note that the import process usually takes time depending on the size of the VMDK file. Keep in mind that you
assistant
Sure, I can help you with this. AWS CDK is an infrastructure as code tool that allows you to write code to build and update your cloud infrastructure. Here is an example of a Python script that uses AWS CDK to upload a VMDK file to S3, create a snapshot using the EC2 import-image API, and launch an EC2 instance with an EBS volume.
```makefile
from aws_cdk import (
    App,
    Duration as D,
    ExportValue = JsonExport,
    ParentTaggingService = ResourceTag
)
from aws_cdk.aws_ec2 import (
    HelpfulCommunityTags,
    Instance,
    InstanceProps,
    NetworkInterfaceProps,
    Volume
)
from aws_cdk.aws_s3 import Bucket, BucketPolicy
from aws_cdk.aws_s3_import_default import (
    AwsS3ImportFormat,
    S3Import,
)
from aws_cdk.aws_ec2 import (
    Ami,
    BlockDeviceTemplateProps,
    SecurityGroup,
)
from aws_cdk.aws_ec2_dependencies import (
    addressing_types,
    addressing_types as A,
    addressing_types,
    network_interface_specs
)

class MyStack(App):
    def __init__(self, scope: Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        # Define the S3 bucket for uploading the VMDK file
        self.bucket = Bucket(
            self, "UploadBucket",
            bucket_name = "my-upload-bucket"
        )

        # Define the policy for uploading files to the bucket
        self.bucket_policy = BucketPolicy()
        self.bucket_policy.add_statement(
            Effect = "Allow",
            Principal = "*",
            Action = "s3:GetObject",
            Resource = *format("arn:aws:s3:::{}/{}", self.bucket.physical_resource_id, __FILE__)
        )

        # Define the S3 upload job
        self.upload_job = S3Upload(
            bucket = self.bucket,
        )

        # Define the class that will be used to format the VMDK file
        class VMDKFormat(AwsS3ImportFormat):
            pass

        # Define the instance that will be launched from the imported VMDK file
        instance = Instance(
            self, "Instance",
            instance_class = "t2.micro",
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_interface_specs.SubnetInterfaceSpec()
            ),
            vpc_subnet_id = "subnet-12345678",
            ami = Ami.from_import(
                import_image,
                format = VMDKFormat()
            ),
        )

        # Define the EBS volume for the instance
        self.ebs_volume = Volume(
            self, "Volume",
            size = 8,
            instance = instance
        )
        # Define the instance with the  volume
        self.instance = instance

        # Define the security group
        self.security_group = SecurityGroup(
            self, "SecurityGroup",
            template = SecurityGroupTemplate(
                description = "Open up the ports to the instance"
            ),
            security_group_name = "my-security-group",
            vpc_id = "vpc-12345678",
        )

        # Add the instance to the security group
        self.ec2_instance = ec2.Instance(
            self, "Instance",
            vpc = vpc.Ref(self),
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_inter.subnet_interface,
                network_interface_id = "eni-aaaa",
                security_group = sg.Ref("InstanceSG"),
            ),
            #security_group_name = "sg-aaaa",
            vpc_subnet_id = "subnet-12345678",
            instance_type = ec2.InstanceType(ref_instance.instance_class),
            tags = [Ref(resources.my_instance_tags)],
        )
assistant
Sure, I can help you with this. AWS CDK is an infrastructure as code tool that allows you to write code to build and update your cloud infrastructure. Here is an example of a Python script that uses AWS CDK to upload a VMDK file to S3, create a snapshot using the EC2 import-image API, and launch an EC2 instance with an EBS volume.
```makefile
from aws_cdk import (
    App,
    Duration as D,
    ExportValue = JsonExport,
    ParentTaggingService = ResourceTag
)
from aws_cdk.aws_ec2 import (
    HelpfulCommunityTags,
    Instance,
    InstanceProps,
    NetworkInterfaceProps,
    Volume
)
from aws_cdk.aws_s3 import Bucket, BucketPolicy
from aws_cdk.aws_s3_import_default import (
    AwsS3ImportFormat,
    S3Import,
)
from aws_cdk.aws_ec2 import (
    Ami,
    BlockDeviceTemplateProps,
    SecurityGroup,
)
from aws_cdk.aws_ec2_dependencies import (
    addressing_types,
    addressing_types as A,
    addressing_types,
    network_interface_specs
)

class MyStack(App):
    def __init__(self, scope: Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        # Define the S3 bucket for uploading the VMDK file
        self.bucket = Bucket(
            self, "UploadBucket",
            bucket_name = "my-upload-bucket"
        )

        # Define the policy for uploading files to the bucket
        self.bucket_policy = BucketPolicy()
        self.bucket_policy.add_statement(
            Effect = "Allow",
            Principal = "*",
            Action = "s3:GetObject",
            Resource = *format("arn:aws:s3:::{}/{}", self.bucket.physical_resource_id, __FILE__)
        )

        # Define the S3 upload job
        self.upload_job = S3Upload(
            bucket = self.bucket,
        )

        # Define the class that will be used to format the VMDK file
        class VMDKFormat(AwsS3ImportFormat):
            pass

        # Define the instance that will be launched from the imported VMDK file
        instance = Instance(
            self, "Instance",
            instance_class = "t2.micro",
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_interface_specs.SubnetInterfaceSpec()
            ),
            vpc_subnet_id = "subnet-12345678",
            ami = Ami.from_import(
                import_image,
                format = VMDKFormat()
            ),
        )

        # Define the EBS volume for the instance
        self.ebs_volume = Volume(
            self, "Volume",
            size = 8,
            instance = instance
        )
        # Define the instance with the  volume
        self.instance = instance

        # Define the security group
        self.security_group = SecurityGroup(
            self, "SecurityGroup",
            template = SecurityGroupTemplate(
                description = "Open up the ports to the instance"
            ),
            security_group_name = "my-security-group",
            vpc_id = "vpc-12345678",
        )

        # Add the instance to the security group
        self.ec2_instance = ec2.Instance(
            self, "Instance",
            vpc = vpc.Ref(self),
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_inter.subnet_interface,
                network_interface_id = "eni-aaaa",
                security_group = sg.Ref("InstanceSG"),
            ),
            #security_group_name = "sg-aaaa",
            vpc_subnet_id = "subnet-12345678",
            instance_type = ec2.InstanceType(ref_instance.instance_class),
            tags = [Ref(resources.my_instance_tags)],
        )
user
Sure, I can help you with this. AWS CDK is an infrastructure as code tool that allows you to write code to build and update your cloud infrastructure. Here is an example of a Python script that uses AWS CDK to upload a VMDK file to S3, create a snapshot using the EC2 import-image API, and launch an EC2 instance with an EBS volume.
```makefile
from aws_cdk import (
    App,
    Duration as D,
    ExportValue = JsonExport,
    ParentTaggingService = ResourceTag
)
from aws_cdk.aws_ec2 import (
    HelpfulCommunityTags,
    Instance,
    InstanceProps,
    NetworkInterfaceProps,
    Volume
)
from aws_cdk.aws_s3 import Bucket, BucketPolicy
from aws_cdk.aws_s3_import_default import (
    AwsS3ImportFormat,
    S3Import,
)
from aws_cdk.aws_ec2 import (
    Ami,
    BlockDeviceTemplateProps,
    SecurityGroup,
)
from aws_cdk.aws_ec2_dependencies import (
    addressing_types,
    addressing_types as A,
    addressing_types,
    network_interface_specs
)

class MyStack(App):
    def __init__(self, scope: Construct, id: str, **kwargs) -> None:
        super().__init__(scope, id, **kwargs)

        # Define the S3 bucket for uploading the VMDK file
        self.bucket = Bucket(
            self, "UploadBucket",
            bucket_name = "my-upload-bucket"
        )

        # Define the policy for uploading files to the bucket
        self.bucket_policy = BucketPolicy()
        self.bucket_policy.add_statement(
            Effect = "Allow",
            Principal = "*",
            Action = "s3:GetObject",
            Resource = *format("arn:aws:s3:::{}/{}", self.bucket.physical_resource_id, __FILE__)
        )

        # Define the S3 upload job
        self.upload_job = S3Upload(
            bucket = self.bucket,
        )

        # Define the class that will be used to format the VMDK file
        class VMDKFormat(AwsS3ImportFormat):
            pass

        # Define the instance that will be launched from the imported VMDK file
        instance = Instance(
            self, "Instance",
            instance_class = "t2.micro",
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_interface_specs.SubnetInterfaceSpec()
            ),
            vpc_subnet_id = "subnet-12345678",
            ami = Ami.from_import(
                import_image,
                format = VMDKFormat()
            ),
        )

        # Define the EBS volume for the instance
        self.ebs_volume = Volume(
            self, "Volume",
            size = 8,
            instance = instance
        )
        # Define the instance with the  volume
        self.instance = instance

        # Define the security group
        self.security_group = SecurityGroup(
            self, "SecurityGroup",
            template = SecurityGroupTemplate(
                description = "Open up the ports to the instance"
            ),
            security_group_name = "my-security-group",
            vpc_id = "vpc-12345678",
        )

        # Add the instance to the security group
        self.ec2_instance = ec2.Instance(
            self, "Instance",
            vpc = vpc.Ref(self),
            network_interface = NetworkInterfaceProps(
                subnet_interface = network_inter.subnet_interface,
                network_interface_id = "eni-aaaa",
                security_group = sg.Ref("InstanceSG"),
            ),
            #security_group_name = "sg-aaaa",
            vpc_subnet_id = "subnet-12345678",
            instance_type = ec2.InstanceType(ref_instance.instance_class),
            tags = [Ref(resources.my_instance_tags)],
        )
assistant