VISUAL BASIC

Detailed explanation-1: -In a predictive scaling policy, you can use predefined or custom metrics.

Detailed explanation-2: -Autoscaling based on Cloud Monitoring metrics lets you adjust the capacity needed according to measurements from your app.

Detailed explanation-3: -When you create a step scaling policy, you specify one or more step adjustments that automatically scale the number of instances dynamically based on the size of the alarm breach. Each step adjustment specifies the following: A lower bound for the metric value. An upper bound for the metric value.

Detailed explanation-4: -Dynamic scaling scales the capacity of your Auto Scaling group as traffic changes occur. Amazon EC2 Auto Scaling supports the following types of dynamic scaling policies: Target tracking scaling-Increase and decrease the current capacity of the group based on a Amazon CloudWatch metric and a target value.

Detailed explanation-5: -With step scaling, the policy can continue to respond to additional alarms even in the middle of the scaling event. In this example, the Auto Scaling group maintains its size when the CPU utilization is between 40% and 60%.

Detailed explanation-6: -How many metrics are supported by CloudWatch for Auto Scaling? AWS Auto Scaling supports both detailed as well as basic monitoring of the CloudWatch metrics. Basic monitoring happens every 5 minutes, while detailed monitoring happens every minute. It supports 8 metrics and 1 dimension.