Ec2 instance counts remediation

Using Console

Using CLI

To remediate the misconfiguration of EC2 Instance Count Should Not Exceed the Limit in AWS using AWS CLI, you can follow the below steps:

First, check the current EC2 instance count using the AWS CLI command:

aws ec2 describe-instances --query 'Reservations[].Instances[].InstanceId' --output text | wc -w

If the instance count is exceeding the limit, you need to stop or terminate some of the instances to bring the count below the limit.
To stop an instance, use the AWS CLI command:

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

Here, replace <instance-id> with the actual ID of the instance that you want to stop.

To terminate an instance, use the AWS CLI command:

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

Here, replace <instance-id> with the actual ID of the instance that you want to terminate.

Repeat step 3 and 4 until the instance count is below the limit.
Once the instance count is below the limit, you can monitor it using CloudWatch alarms and set up notifications to alert you if the count exceeds the limit again in the future.

Note: It is important to regularly monitor your AWS resources and set up alerts to avoid exceeding the limits and incurring unexpected charges.

Using Python

To remediate the misconfiguration of EC2 instance count exceeding the limit in AWS using Python, follow the below steps:

Import the necessary libraries:

import boto3

Set up an AWS session with the required credentials:

session = boto3.Session(
    aws_access_key_id='YOUR_ACCESS_KEY_ID',
    aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
    region_name='YOUR_REGION_NAME'
)

Create an EC2 client using the session:

ec2_client = session.client('ec2')

Get the current instance count and the instance limit using the describe_account_attributes() method:

response = ec2_client.describe_account_attributes(
    AttributeNames=['max-instances']
)

Check if the current instance count exceeds the instance limit:

max_instances = int(response['AccountAttributes'][0]['AttributeValues'][0]['AttributeValue'])
current_instances = ec2_client.describe_instances()['Reservations']
if len(current_instances) > max_instances:
    print("Current instance count exceeds the instance limit.")

If the current instance count exceeds the instance limit, terminate the excess instances:

excess_instances = len(current_instances) - max_instances
for i in range(excess_instances):
    instance_id = current_instances[i]['Instances'][0]['InstanceId']
    ec2_client.terminate_instances(InstanceIds=[instance_id])
    print("Instance {} terminated.".format(instance_id))

The final code should look like this:

import boto3

session = boto3.Session(
    aws_access_key_id='YOUR_ACCESS_KEY_ID',
    aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
    region_name='YOUR_REGION_NAME'
)

ec2_client = session.client('ec2')

response = ec2_client.describe_account_attributes(
    AttributeNames=['max-instances']
)

max_instances = int(response['AccountAttributes'][0]['AttributeValues'][0]['AttributeValue'])
current_instances = ec2_client.describe_instances()['Reservations']

if len(current_instances) > max_instances:
    excess_instances = len(current_instances) - max_instances
    for i in range(excess_instances):
        instance_id = current_instances[i]['Instances'][0]['InstanceId']
        ec2_client.terminate_instances(InstanceIds=[instance_id])
        print("Instance {} terminated.".format(instance_id))
else:
    print("Current instance count does not exceed the instance limit.")

Note: Make sure to replace the placeholders ‘YOUR_ACCESS_KEY_ID’, ‘YOUR_SECRET_ACCESS_KEY’, and ‘YOUR_REGION_NAME’ with the actual values.

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Ec2 instance counts remediation

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