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.
{% 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 %}
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.
