How to create an ec2 instance using boto3
You can run the code I used from the boto3 docs. You can add or remove parameters as per your requirements, but this is what you would normally require:
import boto3
client = boto3.client('ec2', region_name='us-west-2')
response = client.run_instances(
BlockDeviceMappings=[
{
'DeviceName': '/dev/xvda',
'Ebs': {
'DeleteOnTermination': True,
'VolumeSize': 8,
'VolumeType': 'gp2'
},
},
],
ImageId='ami-6cd6f714',
InstanceType='t3.micro',
MaxCount=1,
MinCount=1,
Monitoring={
'Enabled': False
},
SecurityGroupIds=[
'sg-1f39854x',
],
)
The API has changed but it's right there in the documentation
# Boto 3
ec2.create_instances(ImageId='<ami-image-id>', MinCount=1, MaxCount=5)
Link to the documentation: http://boto3.readthedocs.org/en/latest/guide/migrationec2.html#launching-new-instances
The link you're really looking for in the documentation is the create_instances()
method of the ServiceResource object. This is the type of object you are calling if you create an EC2 resource like this:
s = boto3.Session(region_name="us-west-1")
ec2 = s.resource('ec2')
...
instance = ec2.create_instances(**y_kwargs)
This contains a more detailed example and a longer list of available parameters.
You can also get parameter values for AWS instances that are already running using the AWS command line interface:
$ aws ec2 describe-instances
This prints out a JSON file from which relevant parameters can be extracted and passed to the create_instances()
method. (Or, you can use a boto client and call the describe_instances()
method.)
(Note: If you're wondering what the difference is between the Client and the Resource, they serve different purposes for the same end - the client is a lower-level interface while the Resource is a higher-level interface.)
Refer to API docs has all available options to create instance
http://boto3.readthedocs.org/en/latest/reference/services/ec2.html#EC2.Subnet.create_instances