What are the different scaling policies available in Amazon EC2 Auto Scaling and how can they be used to scale resources based on demand?

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AWS Service: Amazon EC2 Auto Scaling

Question: What are the different scaling policies available in Amazon EC2 Auto Scaling and how can they be used to scale resources based on demand?

Answer:

Amazon EC2 Auto Scaling provides three scaling policies to scale resources based on demand:

Target tracking scaling policy: This policy adjusts the number of instances in an Auto Scaling group to maintain a specified target metric, such as CPU utilization or network traffic. The policy automatically increases or decreases the number of instances in response to changes in demand to maintain the target metric at a specified value.

Step scaling policy: This policy scales the number of instances based on a set of scaling adjustments, called step adjustments. Step adjustments can be triggered based on a metric, such as CPU utilization or network traffic, and define how many instances to add or remove when the metric exceeds or falls below a specified threshold.

Simple scaling policy: This policy adds or removes a fixed number of instances in response to a CloudWatch alarm. The policy is useful for scaling based on a single metric, such as CPU utilization, and does not require a complex configuration.

Each scaling policy can be customized with various parameters, such as cooldown period, scaling adjustment type, and threshold values, to fine-tune the scaling behavior according to specific requirements.

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