What are the different types of scaling policies available in AWS Auto Scaling, and how do you configure them for different workloads?

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AWS Service: AWS Auto Scaling

Question: What are the different types of scaling policies available in AWS Auto Scaling, and how do you configure them for different workloads?

Answer:

There are two types of scaling policies available in AWS Auto Scaling:

Target Tracking scaling policy – This policy is used to maintain a specific metric value, such as CPU utilization or request count per instance. It adjusts the desired capacity of the Auto Scaling group to maintain the target value. This policy is useful when you have a specific target value in mind and want to maintain it as closely as possible.

Step Scaling policy – This policy is used to increase or decrease capacity based on specific thresholds of a metric, such as CPU utilization or request count per instance. It adds or removes instances based on the defined thresholds. This policy is useful when you want to add or remove capacity in predefined steps based on thresholds.

In addition to these policies, AWS Auto Scaling also allows you to use a combination of them, known as Mixed Scaling policy. This policy allows you to define a target tracking policy for a specific metric and a step scaling policy for another metric. This way, you can have more control over your scaling decisions and adjust your capacity based on different metrics.

You can configure these policies using the AWS Management Console, AWS CLI, or AWS SDKs.

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