Get unhealthy resources attached to AWS ELBs(Elastic Load Balancers)

import boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def get_unhealthy_instances(regions,elb_name=None): """ Fetch instances that are in "OutOfService" state for AWS Elastic Load Balancers (ELBs). Parameters: - elb_name (str, optional): Specific name of the Elastic Load Balancer to check. Default is None, which checks all ELBs. - regions (list): List of AWS regions to check. Returns: - list: A list of dictionaries containing details of unhealthy instances. """ result = [] # Loop through each specified region to check the health of instances under ELBs for reg in regions: try: # Initialize ELB client for the specified region elb_client = boto3.client('elb', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=reg) # Get a list of all load balancers in the current region elbs = elb_client.describe_load_balancers()["LoadBalancerDescriptions"] # Loop through each ELB to check the health of its instances for elb in elbs: # If a specific elb_name is provided, then skip the ELBs that don't match the name if elb_name and elb["LoadBalancerName"] != elb_name: continue # Fetch the health status of instances attached to the current ELB res = elb_client.describe_instance_health(LoadBalancerName=elb["LoadBalancerName"]) # Check each instance's health status for instance in res['InstanceStates']: # If the instance is "OutOfService", add its details to the result list if instance['State'] == "OutOfService": data_dict = { "instance_id": instance["InstanceId"], "region": reg, "load_balancer_name": elb["LoadBalancerName"] } result.append(data_dict) # Handle specific ClientError exceptions (e.g. permission issues, request limits) except ClientError as e: print(f"ClientError in region {reg}: {e}") # Handle general exceptions except Exception as e: print(f"An error occurred in region {reg}: {e}") return result # Specify the AWS regions to check for unhealthy instances #regions_to_check = ['us-east-1', 'us-west-2'] # Fetch the list of unhealthy instances unhealthy_instances = get_unhealthy_instances(regions) # Print the details of unhealthy instances, if any if unhealthy_instances: print("Unhealthy instances detected:") for instance in unhealthy_instances: print(f"Region: {instance['region']}, LoadBalancer: {instance['load_balancer_name']}, InstanceID: {instance['instance_id']}") else: print("No unhealthy instances found.")

import boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def get_unhealthy_targets(regions, elb_arn=None): """ Fetch targets (instances) that are in "unhealthy" state for AWS Application Load Balancers (ALBs) and Network Load Balancers (NLBs). Parameters: - elb_arn (str, optional): Specific ARN of the Elastic Load Balancer to check. Default is None, which checks all ELBs. - regions (list): List of AWS regions to check. Returns: - list: A list of dictionaries containing details of unhealthy targets. """ # Initialize an empty list to store results result = [] # Loop through each specified region to check for unhealthy targets for reg in regions: try: # Create a new client for the ELBv2 service in the specified region elbv2_client = boto3.client('elbv2', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=reg) # Retrieve the list of all ALBs and NLBs in the current region elbs = elbv2_client.describe_load_balancers()["LoadBalancers"] # Loop through each Load Balancer and inspect its targets for elb in elbs: # If a specific ELB ARN is provided, skip all other load balancers if elb_arn and elb["LoadBalancerArn"] != elb_arn: continue # Get all target groups associated with the current load balancer target_groups = elbv2_client.describe_target_groups(LoadBalancerArn=elb["LoadBalancerArn"])["TargetGroups"] # Check the health status of each target within the target group for tg in target_groups: health_descriptions = elbv2_client.describe_target_health(TargetGroupArn=tg["TargetGroupArn"])["TargetHealthDescriptions"] # If a target is found to be "unhealthy", store its details in the result list for desc in health_descriptions: if desc["TargetHealth"]["State"] == "unhealthy": data_dict = { "target_id": desc["Target"]["Id"], "region": reg, "load_balancer_arn": elb["LoadBalancerArn"], "target_group_arn": tg["TargetGroupArn"] } result.append(data_dict) # Catch any AWS-related exceptions and print an error message except ClientError as e: print(f"ClientError in region {reg}: {e}") # Catch any other general exceptions and print an error message except Exception as e: print(f"An error occurred in region {reg}: {e}") return result # Specify the AWS regions to check for unhealthy targets #regions_to_check = ['us-east-1', 'us-west-2'] # Retrieve and print the details of any found unhealthy targets unhealthy_targets = get_unhealthy_targets(regions) if unhealthy_targets: print("Unhealthy targets detected:") for target in unhealthy_targets: print(f"Region: {target['region']}\nLoadBalancer ARN: {target['load_balancer_arn']}\nTargetGroup ARN: {target['target_group_arn']}\nTarget ID: {target['target_id']}\n") else: print("No unhealthy targets found.")