# Configure autoscaling

You can also configure the amount of resources (CPU/Memory) allocated for each replica of your router as well as lower and upper limits for the autoscaling.

![](/files/DPPOEfu6Nuq6i7gcoD7m)

{% hint style="warning" %}
In most situations, 500m CPU and 0.5Gi memory should suffice, however, you can fine tune this configuration based on the data from Turing monitoring dashboard.
{% endhint %}

## Autoscaling Policy

By default, Turing uses request concurrency as a measure to monitor performance. For situations that require more fine-grained control, you can also choose a different autoscaling metric and adjust the target value according to prior load tests.

Currently, 4 metrics are supported - Concurrency, RPS, CPU and Memory.

![](/files/oaEbXzOSvoA4ZvL1EDL9)


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