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import boto3

ec2 = boto3.resource('ec2')

def lambda_handler(event, context):
    # create filter for instances in running state
    filters = [
        {
            'Name': 'instance-state-name', 
            'Values': ['running']

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def getParameter(param_name):
    """
    This function reads a secure parameter from AWS' SSM service.

    The request must be passed a valid parameter name, as well as 
    temporary credentials which can be used to access the parameter.

    The parameter's value is returned.
    """
    # Create the SSM Client

mda590

import boto3
from datetime import datetime, timedelta

def lambda_handler(event, context):
    try:
        # Create connection to the EC2 using Boto3 resources interface
        ec2 = boto3.resource('ec2', region_name='us-east-1')

        # Get the current time
        timeOffset = datetime.utcnow() + timedelta(hours=defaultTimeZone)

mda590

sudo yum-config-manager --enable "Red Hat Enterprise Linux Server 7 Extra(RPMs)"
sudo yum install docker -y

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aws --region=us-east-2 ssm put-parameter --name "<string-name>" --value '<secure data>' --type SecureString --key-id alias/<kms-key-name>

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aws --region=us-east-2 ssm put-parameter --name "secret-password" --value 'password1234' --type SecureString --key-id alias/secret-strings

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{ "AccessKey": "ABCDE43235132D", "SecretKey": "ACBDEFGHIJKL123456789ABCDEF" }

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aws --region=us-east-2 ssm get-parameters --names "<string-name>" --with-decryption

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aws --region=us-east-2 ssm get-parameters --names "secret-password" --with-decryption

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#
# Print all S3 buckets and objects
# Warning: If you have a lot of S3 objects, this could potentially incur a large cost.
#

import boto3

client = boto3.client('s3')

buckets = client.list_buckets()