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Stop an AWS EC2 Instance

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In AWS, an EC2 instance can be in various states, including running, stopped, or terminated. Stopping an EC2 instance essentially means shutting it down, similar to turning off a computer. When an instance is stopped, it is not running, and therefore, you are not billed for instance usage. However, you are still billed for any EBS storage associated with the instance. The advantage of stopping, instead of terminating, is that you can start the instance again at any time. This capability is useful for scenarios where you want to temporarily halt operations without losing the instance configuration or data. It's essential to understand that stopping an instance will lead to the loss of the ephemeral storage content (Instance Store), but data on EBS volumes will remain intact.

import boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] if locals().get('filtered_instances') is None: filtered_instances = [] def stop_ec2_instances(instances_to_stop): # To keep track of instances successfully stopped stopped_instances = [] # To keep track of instances that failed to stop failed_instances = [] # To keep track of instances that were already stopped or in the process of stopping already_stopped_instances = [] # Iterate over each instance in the list for instance_info in instances_to_stop: instance_id = instance_info['InstanceId'] region = instance_info['Region'] # Initialize the EC2 client for the specific region ec2_client = boto3.client('ec2', aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=region) # Fetch the current state of the instance try: response = ec2_client.describe_instances(InstanceIds=[instance_id]) instance_state = response['Reservations'][0]['Instances'][0]['State']['Name'] if instance_state in ["stopped", "stopping"]: already_stopped_instances.append(instance_id) print(f"Instance {instance_id} in region {region} is already in '{instance_state}' state.") continue # If the instance is not already stopped or stopping, then attempt to stop it ec2_client.stop_instances(InstanceIds=[instance_id]) stopped_instances.append(instance_id) print(f"Instance {instance_id} in region {region} has been stopped.") except ClientError as e: failed_instances.append(instance_id) print(f"Error with instance {instance_id} in region {region}: {e}") # Print a summary of the actions print("\nSummary:\n") if stopped_instances: print(f"Successfully stopped {len(stopped_instances)} instances: {', '.join(stopped_instances)}") if already_stopped_instances: print(f"{len(already_stopped_instances)} instances were already stopped or stopping: {', '.join(already_stopped_instances)}") if failed_instances: print(f"Failed to stop {len(failed_instances)} instances: {', '.join(failed_instances)}") ''' # Sample list of instances to stop taken from previous task or provide these instances to use the task in a standalone manner instances_to_stop = [ {'InstanceId': 'i-01615251421b8b5da', 'Region': 'us-east-1'}, {'InstanceId': 'i-057155192c87ea310', 'Region': 'us-east-1'} # ... (other instances) ] ''' stop_ec2_instances(filtered_instances) # passed down from previous task otherwise pass instances_to_stop to function to use the task in a standalone manner.
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