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What is an Auto Scaling Group in AWS and what problem does it solve? What is a launch template and how is it used by an Auto Scaling Group? How do health checks work within an Auto Scaling Group to maintain a healthy fleet of instances? How can Auto Scaling Groups span multiple Availability Zones to improve application availability? How do lifecycle hooks in Auto Scaling Groups let you customize instance launch and termination behavior? How can predictive scaling in Auto Scaling Groups improve upon reactive scaling policies?
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What scaling policies are available in Auto Scaling Groups, such as target tracking and step scaling?

Intermediate

Answer

Target tracking scaling automatically adjusts capacity to keep a specific metric, such as average CPU utilization, at a target value you define, simplifying scaling configuration significantly, while step scaling lets you define specific scaling actions that trigger at different thresholds of a CloudWatch alarm, giving you finer grained control over exactly how much capacity to add or remove at each level of demand.
aws autoscaling put-scaling-policy --auto-scaling-group-name my-asg --policy-name cpu-target-tracking --policy-type TargetTrackingScaling --target-tracking-configuration '{"PredefinedMetricSpecification":{"PredefinedMetricType":"ASGAverageCPUUtilization"},"TargetValue":50.0}'
Real-world example A web application configures target tracking scaling to maintain an average CPU utilization of fifty percent across its Auto Scaling Group, automatically adding instances as traffic grows and removing them as traffic subsides, without needing manually defined thresholds.

Common follow-ups: How does target tracking scaling compare to step scaling in terms of complexity and precision?;What metrics besides CPU utilization can be used for target tracking?

Monitoring (CloudWatch);EC2 & Compute
All 7 Auto Scaling Groups questions