AWS Service: Amazon EC2 Auto Scaling
Question: What are the different types of scaling triggers available in Amazon EC2 Auto Scaling and how can they be used to initiate scaling activities?
Answer:
Amazon EC2 Auto Scaling provides several types of scaling triggers that can be used to initiate scaling activities:
Manual scaling: This allows users to manually increase or decrease the desired capacity of an Auto Scaling group.
Time-based scaling: This allows users to schedule scaling activities based on a specific time or recurring schedule. This can be useful for handling predictable spikes in demand, such as during certain times of the day or week.
Dynamic scaling: This uses metrics to automatically adjust the size of the Auto Scaling group based on changes in demand. Dynamic scaling can be further divided into two sub-types:
a. Target tracking scaling: This uses a target value for a specified metric, such as CPU utilization or network traffic, and adjusts the group size to maintain the target value.
b. Step scaling: This defines scaling adjustments based on a set of scaling policies that increase or decrease the group size by a specified number of instances or a percentage of the current group size.
Overall, these scaling triggers allow Amazon EC2 Auto Scaling to adapt to changes in demand and maintain the desired level of capacity and performance while minimizing cost.
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