agent: |
ftprxh1hQkCCSd4vzUGAFind AWS ELBs with No Targets or Instances
Find AWS ELBs with No Targets or Instances
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.
This task identifies AWS Elastic Load Balancers (ELBs) that have no associated targets or instances. Such ELBs may indicate unused resources, leading to unnecessary costs. Checking and managing these can optimize AWS expenses.
inputs
outputs
import boto3
from botocore.exceptions import ClientError
creds = _get_creds(cred_label)['creds']
access_key = creds['username']
secret_key = creds['password']
def aws_find_elbs_with_no_targets_or_instances(regions):
"""
Returns details of Elastic Load Balancers (ELBs) across specified AWS regions
that are not associated with any target groups or instances.
Args:
regions (list): List of AWS regions to check.
Returns:
tuple: Tuple of status, and details of ELBs with no targets or instances.
"""
result = [] # List to store ELBs with no targets or instances
all_load_balancers = [] # List to store all fetched ELBs
# Iterate over each specified AWS region
for reg in regions:
try:
# Create clients for ELBv2 (Application, Network, Gateway) and Classic ELB
elbv2Client = boto3.client('elbv2', aws_access_key_id = access_key,aws_secret_access_key=secret_key,region_name=reg)
elbClient = boto3.client('elb', aws_access_key_id = access_key,aws_secret_access_key=secret_key,region_name=reg)
# Fetch ELBv2 Load Balancers using pagination
elbv2_paginator = elbv2Client.get_paginator('describe_load_balancers')
for page in elbv2_paginator.paginate():
for lb in page['LoadBalancers']:
elb_dict = {
"elb_name": lb['LoadBalancerName'],
"elb_arn": lb['LoadBalancerArn'],
"type": lb['Type'],
"region": reg
}
all_load_balancers.append(elb_dict)
# Fetch Classic Load Balancers
elb_response = elbClient.describe_load_balancers()
for lb in elb_response['LoadBalancerDescriptions']:
elb_dict = {
"elb_name": lb['LoadBalancerName'],
"type": 'classic',
"region": reg
}
all_load_balancers.append(elb_dict)
# Handle potential client errors (e.g., permission issues)
except ClientError as ce:
print(f"Client error in region {reg}: {ce}")
# Handle other exceptions
except Exception as e:
print(f"Error in region {reg}: {e}")
# Identify ELBs with no associated targets or instances
for load_balancer in all_load_balancers:
if load_balancer['type'] in ['network', 'application']:
elbv2Client = boto3.client('elbv2',aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=load_balancer['region'])
target_groups = elbv2Client.describe_target_groups(LoadBalancerArn=load_balancer['elb_arn'])
if not target_groups['TargetGroups']:
result.append(load_balancer)
elif load_balancer['type'] == 'classic':
elbClient = boto3.client('elb', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=load_balancer['region'])
instance_health = elbClient.describe_instance_health(LoadBalancerName=load_balancer['elb_name'])
if not instance_health['InstanceStates']:
result.append(load_balancer)
elif load_balancer['type'] == 'gateway':
elbv2Client = boto3.client('elbv2', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=load_balancer['region'])
listeners = elbv2Client.describe_listeners(LoadBalancerArn=load_balancer['elb_arn'])
if not listeners['Listeners']:
result.append(load_balancer)
# Return identified ELBs
return (False, result) if result else (True, None)
# Specify the AWS regions to check
#regions_to_check = ['us-west-1', 'us-east-1'] # Modify this list as needed
# Find ELBs with no targets or instances
output_status, output_data = aws_find_elbs_with_no_targets_or_instances(regions)
# Print and Delete the identified ELBs
if output_status:
print("No load balancers found with no targets or instances.")
else:
for elb in output_data:
print(f"ELB Name: {elb['elb_name']}")
if 'elb_arn' in elb:
print(f"ELB ARN: {elb['elb_arn']}")
print(f"Type: {elb['type']}")
print(f"Region: {elb['region']}")
print("-" * 40)
context.skip_sub_tasks=True
copied
- 1wgbSFWw8JJ8gk64Bc0yDDelete AWS ELBs
1
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This task deletes Amazon Elastic Load Balancers (ELBs) that are not associated with any targets or instances. These unattached ELBs could be remnants of previously deployed applications or services. By identifying and removing them, organizations can not only free up unused resources but also optimize their AWS infrastructure costs. This task helps maintain a clean and efficient cloud environment while ensuring cost-effectiveness.
inputsoutputsimport boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def delete_elbs(load_balancers): """ Deletes the specified Elastic Load Balancers. Args: load_balancers (list): List of dictionaries containing ELB details. Returns: None. """ # Iterate over each ELB to delete for elb in load_balancers: region = elb['region'] elb_type = elb['type'] try: # Handle ELBv2 (Application, Network, Gateway) deletion if elb_type in ['application', 'network', 'gateway']: client = boto3.client('elbv2', aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=region) client.delete_load_balancer(LoadBalancerArn=elb['elb_arn']) # Handle Classic ELB deletion elif elb_type == 'classic': client = boto3.client('elb',aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=region) client.delete_load_balancer(LoadBalancerName=elb['elb_name']) print(f"Deleted {elb_type} load balancer {elb['elb_name']} in region {region}") # Handle potential client errors during deletion except ClientError as ce: print(f"Client error while deleting {elb_type} load balancer {elb['elb_name']} in region {region}: {ce}") # Handle other exceptions during deletion except Exception as e: print(f"Error while deleting {elb_type} load balancer {elb['elb_name']} in region {region}: {e}") # Specify the AWS regions to check #regions_to_check = ['us-west-1', 'us-east-1'] # Modify this list as needed ''' # Find ELBs with no targets or instances output_status, output_data = aws_find_elbs_with_no_targets_or_instances(regions=regions_to_check) ''' # Print and Delete the identified ELBs if output_status: print("No load balancers found with no targets or instances.") else: for elb in output_data: print(f"ELB Name: {elb['elb_name']}") if 'elb_arn' in elb: print(f"ELB ARN: {elb['elb_arn']}") print(f"Type: {elb['type']}") print(f"Region: {elb['region']}") print("-" * 40) delete_elbs(output_data) print("Load balancers deleted successfully.")copied1