autoscaling
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@ -264,76 +264,46 @@ def create_auto_scaling_group(autoscaling_client, launch_template_id, target_gro
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print(f"Auto Scaling Group created with ARN: {asg_arn}")
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return asg_arn
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def put_scaling_policies(autoscaling_client, asg_arn):
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# Put Scaling Policy Up
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up = autoscaling_client.put_scaling_policy(
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def put_scaling_policy(autoscaling_client, asg_arn):
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# Put Scaling Policy based on CPU Utilization
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policy = autoscaling_client.put_scaling_policy(
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AutoScalingGroupName=f"{PREFIX}-asg",
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PolicyName=f"{PREFIX}-scale-policy-up",
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PolicyType='SimpleScaling',
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AdjustmentType='ChangeInCapacity',
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ScalingAdjustment=2, # Scale up faster by adding 2 instances at a time
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Cooldown=30 # Short cooldown for rapid scaling up
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PolicyName=f"{PREFIX}-scale-policy-cpu",
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PolicyType='TargetTrackingScaling',
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TargetTrackingConfiguration={
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'PredefinedMetricSpecification': {
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'PredefinedMetricType': 'ASGAverageCPUUtilization'
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},
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'TargetValue': 20.0, # Target CPU utilization percentage
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'DisableScaleIn': False # Allow scale in
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}
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)
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print(f"Scale-up policy created with ARN: {up['PolicyARN']}")
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print(f"Scaling policy created with ARN: {policy['PolicyARN']}")
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return policy['PolicyARN']
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# Put Scaling Policy Down
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down = autoscaling_client.put_scaling_policy(
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AutoScalingGroupName=f"{PREFIX}-asg",
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PolicyName=f"{PREFIX}-scale-policy-down",
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PolicyType='SimpleScaling',
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AdjustmentType='ChangeInCapacity',
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ScalingAdjustment=-1, # Scale down slower by removing 1 instance at a time
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Cooldown=120 # Longer cooldown for scaling down
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)
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print(f"Scale-down policy created with ARN: {down['PolicyARN']}")
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return up['PolicyARN'], down['PolicyARN']
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def create_cloudwatch_alarms(cloudwatch_client, sp_up, sp_down):
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# Create CloudWatch Alarms for scaling up
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def create_cloudwatch_alarm(cloudwatch_client, sp_arn):
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# Create a CloudWatch Alarm for CPU Utilization
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cloudwatch_client.put_metric_alarm(
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AlarmName=f"{PREFIX}-scale-up-alarm",
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ComparisonOperator='GreaterThanThreshold',
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AlarmName=f"{PREFIX}-cpu-utilization-alarm",
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ComparisonOperator='GreaterThanOrEqualToThreshold',
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EvaluationPeriods=1,
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MetricName='RequestCountPerTarget',
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Namespace='AWS/ApplicationELB',
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Period=30, # Short evaluation period for quick scaling up
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MetricName='CPUUtilization',
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Namespace='AWS/EC2',
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Period=60,
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Statistic='Average',
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Threshold=50, # Lower threshold for scaling up faster
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Threshold=20.0,
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ActionsEnabled=True,
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AlarmActions=[sp_up],
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AlarmDescription='Scale-up alarm',
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AlarmActions=[sp_arn],
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AlarmDescription='Alarm to scale out/in based on CPU utilization',
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Dimensions=[{
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'Name': 'AutoScalingGroupName',
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'Value': f"{PREFIX}-asg"
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}],
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Unit='Count'
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Unit='Percent'
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)
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print(f"Scale-up alarm created")
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# Create CloudWatch Alarms for scaling down
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cloudwatch_client.put_metric_alarm(
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AlarmName=f"{PREFIX}-scale-down-alarm",
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ComparisonOperator='LessThanThreshold',
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EvaluationPeriods=2, # Longer evaluation period for slower scaling down
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MetricName='RequestCountPerTarget',
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Namespace='AWS/ApplicationELB',
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Period=120, # Longer period to prevent frequent scale-down actions
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Statistic='Average',
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Threshold=10, # Higher threshold to delay scaling down
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ActionsEnabled=True,
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AlarmActions=[sp_down],
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AlarmDescription='Scale-down alarm',
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Dimensions=[{
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'Name': 'AutoScalingGroupName',
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'Value': f"{PREFIX}-asg"
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}],
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Unit='Count'
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)
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print(f"Scale-down alarm created")
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print(f"CPU Utilization alarm created")
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# Main function
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def main():
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@ -411,11 +381,11 @@ def main():
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# Scaling Policies
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print("Creating Scaling Policies...")
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sp_up, sp_down = put_scaling_policies(autoscaling_client, asg_arn)
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sp = put_scaling_policy(autoscaling_client, asg_arn)
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# CloudWatch Alarms
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print("Creating CloudWatch Alarms...")
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create_cloudwatch_alarms(cloudwatch_client, sp_up, sp_down)
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create_cloudwatch_alarm(cloudwatch_client, sp)
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# Load Balancer DNS name
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response = elbv2_client.describe_load_balancers(
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