AutoScalingPolicies
AutoScalingPolicies are a set of rules used by an autoscaling system to automatically adjust the number of running instances in response to changing demand. They define when to scale out (add capacity) or scale in (remove capacity), and by how much, based on monitored metrics such as CPU usage, request latency, queue length, or custom application metrics. Policies are evaluated at regular intervals and are constrained by configured minimum and maximum instance counts. A cooldown period may be used to prevent rapid successive changes and to stabilize fluctuations, allowing the system to observe the impact of a change.
Policy types commonly supported include: target tracking scaling policies, which aim to keep a chosen metric
In practice, AutoScalingPolicies are associated with an autoscaling group or equivalent construct in cloud or container
Key considerations for effective policies include selecting meaningful metrics, avoiding overly aggressive scaling tied to short-term