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Update CREATE-NEW-SCALER.md #5253

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2 changes: 1 addition & 1 deletion CREATE-NEW-SCALER.md
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ This is the key function of a scaler; it returns:
- `Value`: A numerical value that represents the state of the metric. It could be the length of a queue, or it can be the amount of lag in a stream, but it can also be a simple representation of the state.
2. A value that represents an activity of the scaler. The return type is `bool`.

KEDA polls ScaledObject object according to the `pollingInterval` configured in the ScaledObject; it checks the last time it was polled, it checks if the number of replicas is greater than 0, and if the scaler itself is active. So if the scaler returns false for `IsActive`, and if current number of replicas is greater than 0, and there is no configured minimum pods, then KEDA scales down to 0.
KEDA will check each trigger source on every ScaledObject every `pollingInterval` configured in the ScaledObject; it checks the last time it was polled, it checks if the number of replicas is greater than 0, and if the scaler itself is active. So if the scaler returns false for `IsActive`, and if current number of replicas is greater than 0, and there is no configured minimum pods, then KEDA scales down to 0.

Kubernetes HPA (Horizontal Pod Autoscaler) will poll `GetMetricsAndActivity` regularly through KEDA's metric server (as long as there is at least one pod), and compare the returned value to a configured value in the ScaledObject configuration. Kubernetes will use the following formula to decide whether to scale the pods up and down:

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