hetul99

import boto3
import json

def lambda_handler(event, context):
    print("Received event: " + json.dumps(event))
    if event['detail']['eventName'] == 'ModifyInstanceAttribute' and 'instanceType' in event['detail']['requestParameters']:
        instance_id = event['detail']['requestParameters']['instanceId']
        instance_type = event['detail']['requestParameters']['instanceType']['value']
        cw = boto3.client('cloudwatch')
        alarms = cw.describe_alarms()

hetul99

#!/bin/bash

# Prompt the user to enter the instance ID to check for
read -p "Enter the instance ID to check for: " INSTANCE_ID

# Get a list of all load balancer ARNs in the current AWS account
LB_ARNS=$(aws elbv2 describe-load-balancers --query "LoadBalancers[].LoadBalancerArn" --output text)

# Loop through each load balancer ARN and check if the instance is registered with any target groups
for LB_ARN in $LB_ARNS

hetul99

import boto3
import json
import time

ssm = boto3.client('ssm')

def lambda_handler(event, context):
    # Check if the event is a ModifyInstanceAttribute event and has an instance-type change
    if event['detail']['eventName'] == 'ModifyInstanceAttribute' and \
       event['detail']['requestParameters'].get('instanceType') is not None:

hetul99

{
  "source": ["aws.ec2"],
  "detail-type": ["AWS API Call via CloudTrail"],
  "detail": {
    "eventSource": ["ec2.amazonaws.com"],
    "eventName": ["ModifyInstanceAttribute"]
  }
}

hetul99

{
	"metrics": {
		"append_dimensions": {
			"AutoScalingGroupName": "${aws:AutoScalingGroupName}",
			"ImageId": "${aws:ImageId}",
			"InstanceId": "${aws:InstanceId}",
			"InstanceType": "${aws:InstanceType}"
		},
		"metrics_collected": {
			"LogicalDisk": {

hetul99

import json
import urllib.parse
import boto3

print('Loading function')

s3 = boto3.client('s3')
mt = boto3.client('mediatailor')

hetul99

Course url: https://linuxacademy.com/containers/training/course/name/docker-deep-dive-part-1

==================== All Docker Command While Learning Docker =========================
Get a list of all of the Docker commands:

docker -h

====== Attaching to Container , run in background , name it ==========

Create a container and attach to it:

hetul99

from datetime import datetime
import boto3

def lambda_handler(event, context):
    account_id = boto3.client('sts').get_caller_identity().get('Account')
    ec2 = boto3.client('ec2')
    regions = [region['RegionName']
               for region in ec2.describe_regions()['Regions']]
                
    #Iterate over each Region

hetul99

from datetime import datetime
import boto3

def lambda_handler(event, context):

    ec2_client = boto3.client('ec2')
    regions = [region['RegionName']
               for region in ec2_client.describe_regions()['Regions']]

    for region in regions:

hetul99

import boto3

def lambda_handler(event, context):
    #Get list of Regions
    ec2_client = boto3.client('ec2')
    regions = [region['RegionName']
                for region in ec2_client.describe_regions()['Regions']]
                    
    #Iterate over each Region
    for region in regions: