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Filter out all unused/unattached AWS Elastic IP addresses

There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

This step involves searching through regions to identify Elastic IPs that are not currently associated with any instances. By iteratively querying each region's EC2 service, the script collects details about unattached Elastic IPs, including their public IP addresses, allocation IDs, and regions.

import boto3 import botocore.exceptions creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def find_unattached_elastic_ips(regions): unattached_ips = [] # Loop through each region for region in regions: try: # Fetch the list of Elastic IPs for the region ec2_client = boto3.client('ec2', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) response = ec2_client.describe_addresses() except botocore.exceptions.BotoCoreError as e: print(f"Error fetching addresses in region {region}: {e}") continue # Check each Elastic IP for an association for eip in response.get('Addresses', []): if 'AssociationId' not in eip: # Add unattached Elastic IPs to the list unattached_ips.append({'public_ip': eip.get('PublicIp', ''), 'allocation_id': eip.get('AllocationId', ''), 'region': region}) return unattached_ips # List of regions to search for unattached Elastic IPs #regions = ['us-east-1'] # Add your desired regions here # Find unattached Elastic IPs unattached_ips = find_unattached_elastic_ips(regions) if len(unattached_ips) == 0: print("No unattached Elastic IPs found.") else: print("Unattached Elastic IPs:") # Print details for each unattached Elastic IP for ip_info in unattached_ips: print(f"Public IP: {ip_info['public_ip']}, Allocation ID: {ip_info['allocation_id']}, Region: {ip_info['region']}") context.skip_sub_tasks = True
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    Release unused/unattached AWS Elastic IP addresses

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

    Once the unattached Elastic IPs are identified, this task releases them from the AWS environment. By using the collected allocation IDs and regions, the script communicates with the EC2 service to release each unattached Elastic IP. This process ensures that these IPs are no longer reserved, contributing to cost savings and resource optimization.

    import boto3 import botocore.exceptions creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] # Function to release an Elastic IP def release_elastic_ip(ec2_client, allocation_id, region): ec2 = boto3.client('ec2', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) try: # Attempt to release the Elastic IP response = ec2.release_address(AllocationId=allocation_id) return f"Released Elastic IP {allocation_id} in region {region}" except botocore.exceptions.BotoCoreError as e: return f"Error releasing Elastic IP {allocation_id} in region {region}: {e}" # List of regions to search for unattached Elastic IPs #regions = ["us-east-1"] # Add your desired regions here if len(unattached_ips) == 0: print("No unattached Elastic IPs found.") else: print("Unattached Elastic IPs:") # Print details for each unattached Elastic IP for ip_info in unattached_ips: print(f"Public IP: {ip_info['public_ip']}, Allocation ID: {ip_info['allocation_id']}, Region: {ip_info['region']}") # Release unattached Elastic IPs for ip_info in unattached_ips: response = release_elastic_ip(boto3.client('ec2'), ip_info['allocation_id'], ip_info['region']) print(response) context.proceed = False
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    List and release all Elastic IPs in all regions

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

    This task is a combination of listing all Elastic IPs and releasing them if they are not associated with any instance all the while looping through all the regions.

    Note:- Even though the script is a one time stop for finding unattached Elastic IPs in all regions it takes relatively higher time to complete the process than the script focused on specified regions as it loops through all the regions.

    import boto3 creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] # Create an EC2 client instance ec2 = boto3.client("ec2",aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name='us-east-1') # Dictionary to store unused Elastic IPs with their allocation IDs and regions unused_ips = {} #Loop through all regions for region in ec2.describe_regions()["Regions"]: region_name = region["RegionName"] try: # Create an EC2 client for the specific region ec2conn = boto3.client("ec2",aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=region_name) # Retrieve all addresses (Elastic IPs) addresses = ec2conn.describe_addresses( Filters=[{"Name": "domain", "Values": ["vpc"]}] )["Addresses"] # Iterate through each address for address in addresses: # Check if the address is not associated with any instance if ( "AssociationId" not in address and address["AllocationId"] not in unused_ips ): # Store the unused Elastic IP's allocation ID and region unused_ips[address["AllocationId"]] = region_name # Release the unused Elastic IP ec2conn.release_address(AllocationId=address["AllocationId"]) print( f"Deleted unused Elastic IP {address['PublicIp']} in region {region_name}" ) except Exception as e: # Handle cases where there's no access to a specific region print(f"No access to region {region_name}: {e}") # Print the summary of deleted unused Elastic IPs print(f"Found and deleted {len(unused_ips)} unused Elastic IPs across all regions:") print(unused_ips)
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