1. Log in to the AWS Management Console.
2. Click on the EC2 service.
3. Select the instances that are idle.
4. Click on the “Actions” button and select “Instance State” and then click “Stop”.
5. In the confirmation dialog box, click “Yes, Stop”.
6. Wait for the instances to stop.
7. Once the instances have stopped, select them again.
8. Click on the “Actions” button and select “Instance Settings” and then click “Change Shutdown Behavior”.
9. In the “Change Shutdown Behavior” dialog box, select “Terminate” and then click “Save”.
10. Start the instances again when they are required.

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1. Open the AWS CLI on your local machine.
2. Run the following command to list all the running instances in your AWS account:
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   Ask AI

   aws ec2 describe-instances --filters Name=instance-state-name,Values=running
   

3. Identify the idle instances that have been running for a long time and need to be remediated.
4. To stop the idle instances, run the following command:
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   Ask AI

   aws ec2 stop-instances --instance-ids <instance-id>
   

   Replace <instance-id> with the ID of the idle instance that you want to stop.
5. Confirm the action by entering y when prompted.
6. After the instance has been stopped, you can start it again using the following command:
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   Ask AI

   aws ec2 start-instances --instance-ids <instance-id>
   

   Replace <instance-id> with the ID of the stopped instance that you want to start.
7. Confirm the action by entering y when prompted.
8. Repeat steps 4-7 for any other idle instances that need to be remediated.
9. To prevent this misconfiguration from occurring in the future, you can set up CloudWatch alarms to monitor the CPU utilization of your instances and take action if it falls below a certain threshold.

1. Create a Lambda function in Python that will identify and terminate idle EC2 instances.
2. Use the AWS SDK for Python (Boto3) to access the AWS EC2 service and retrieve the list of instances.
3. For each instance, check its CPU utilization using CloudWatch metrics. If the CPU utilization is below a certain threshold (e.g., 10%), then terminate the instance using the terminate_instances() method.
4. Schedule the Lambda function to run periodically using AWS CloudWatch Events.

import boto3

def lambda_handler(event, context):
    ec2 = boto3.client('ec2')
    cw = boto3.client('cloudwatch')
    idle_threshold = 10 # Set the idle threshold to 10%
    
    # Get a list of all running instances
    instances = ec2.describe_instances(
        Filters=[
            {'Name': 'instance-state-name', 'Values': ['running']}
        ]
    )
    
    # Check CPU utilization for each instance
    for reservation in instances['Reservations']:
        for instance in reservation['Instances']:
            instance_id = instance['InstanceId']
            cpu_utilization = cw.get_metric_statistics(
                Namespace='AWS/EC2',
                MetricName='CPUUtilization',
                Dimensions=[
                    {'Name': 'InstanceId', 'Value': instance_id}
                ],
                StartTime='2022-02-01T00:00:00Z',
                EndTime='2022-02-01T23:59:59Z',
                Period=3600,
                Statistics=['Average']
            )['Datapoints'][0]['Average']
            
            # Terminate idle instances
            if cpu_utilization < idle_threshold:
                ec2.terminate_instances(InstanceIds=[instance_id])
                print(f"Terminated instance {instance_id}")