[Solved] Why does AWS Auto Scaling treat cooldown periods differently for scale-in and scale-out events? — Ans: To allow faster recovery from high load by ignoring cooldown on scale-out | AWS

AWS - Auto Scaling

Why does AWS Auto Scaling treat cooldown periods differently for scale-in and scale-out events?

ABecause scale-in events are more expensive

BTo allow faster recovery from high load by ignoring cooldown on scale-out

CTo reduce costs by blocking all scale-out events during cooldown

DBecause scale-out events require manual approval

Step-by-Step Solution

Solution:

Step 1: Understand scaling goals
Scale-out adds capacity to handle load; scale-in removes capacity to save costs.
Step 2: Reason cooldown difference
Ignoring cooldown on scale-out allows faster response to increased demand, improving performance.
Step 3: Confirm AWS behavior
AWS allows scale-out during cooldown but blocks scale-in to avoid rapid capacity loss.
Final Answer:
To allow faster recovery from high load by ignoring cooldown on scale-out -> Option B
Quick Check:
Cooldown difference reason = Faster scale-out response [OK]

Quick Trick: Scale-out cooldown ignored to quickly handle load spikes [OK]

Common Mistakes:

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Why does AWS Auto Scaling treat cooldown periods differently for scale-in and scale-out events?