AutoScaling / Client / attach_load_balancers

attach_load_balancers#

AutoScaling.Client.attach_load_balancers(**kwargs)#

Note

This API operation is superseded by AttachTrafficSources, which can attach multiple traffic sources types. We recommend using AttachTrafficSources to simplify how you manage traffic sources. However, we continue to support AttachLoadBalancers. You can use both the original AttachLoadBalancers API operation and AttachTrafficSources on the same Auto Scaling group.

Attaches one or more Classic Load Balancers to the specified Auto Scaling group. Amazon EC2 Auto Scaling registers the running instances with these Classic Load Balancers.

To describe the load balancers for an Auto Scaling group, call the DescribeLoadBalancers API. To detach a load balancer from the Auto Scaling group, call the DetachLoadBalancers API.

This operation is additive and does not detach existing Classic Load Balancers or target groups from the Auto Scaling group.

For more information, see Use Elastic Load Balancing to distribute traffic across the instances in your Auto Scaling group in the Amazon EC2 Auto Scaling User Guide.

See also: AWS API Documentation

Request Syntax

response = client.attach_load_balancers(
    AutoScalingGroupName='string',
    LoadBalancerNames=[
        'string',
    ]
)
Parameters:

  • AutoScalingGroupName (string) –

    [REQUIRED]

    The name of the Auto Scaling group.

  • LoadBalancerNames (list) –

    [REQUIRED]

    The names of the load balancers. You can specify up to 10 load balancers.

    • (string) –

Return type:

dict

Returns:

Response Syntax

{}

Response Structure

  • (dict) –

Exceptions

  • AutoScaling.Client.exceptions.ResourceContentionFault

  • AutoScaling.Client.exceptions.ServiceLinkedRoleFailure

Examples

This example attaches the specified load balancer to the specified Auto Scaling group.

response = client.attach_load_balancers(
    AutoScalingGroupName='my-auto-scaling-group',
    LoadBalancerNames=[
        'my-load-balancer',
    ],
)

print(response)

Expected Output:

{
    'ResponseMetadata': {
        '...': '...',
    },
}