Auto Scaling policies should not rely solely on CPU utilization for all workloads because different applications may experience bottlenecks in areas other than CPU usage, such as memory, disk I/O, or network throughput. Depending on the specific workload, it may be necessary to configure Auto Scaling to respond to other performance metrics or a combination of metrics to efficiently handle load variations. For instance, a memory-intensive application might require scaling actions based on memory usage rather than CPU utilization. A well-designed scaling strategy takes into account the unique characteristics of the application workload.
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What are Auto Scaling policies?
What are some alternative metrics to CPU utilization for scaling?
Why is it important to consider workload characteristics when designing a scaling strategy?