Autoscaling Metrics and Configuration Parameters
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Prisma AIRS

Autoscaling Metrics and Configuration Parameters

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Autoscaling Metrics and Configuration Parameters

Configure one or more firewall metrics as autoscaling triggers for non-mesh Prisma AIRS firewalls. You set the scale-out threshold; the platform auto-computes the scale-in threshold.
Where Can I Use This?What Do I Need?
  • Prisma AIRS
  • AWS
  • Azure
  • GCP
  • Prisma AIRS license
  • Access to Strata Cloud Manager
Configure one or more of the following firewall metrics as autoscaling triggers. You set the scale-out threshold; the platform auto-computes the scale-in threshold.
MetricsDescription
CPU UtilizationDataplane CPU utilization percentage
Session UtilizationSession table utilization percentage
Session ThroughputTotal session throughput in kilobits per second
Active SessionsTotal number of active sessions
Connections Per SecondNew connections established per second
Packet Buffer UtilizationDataplane packet buffer utilization percentage
SSL Proxy UtilizationSSL decryption session utilization percentage
GlobalProtect Active TunnelsGlobalProtect gateway active tunnel count
GlobalProtect Tunnel UtilizationGlobalProtect gateway tunnel utilization percentage
By default, above metrics are emitted by each firewall instance to the cloud monitoring service at the configured Update Interval. Only the metrics you explicitly configure in Strata Cloud Manager are used to trigger scaling actions.

Configuration Parameters

ParameterDescription
Min InstancesMinimum number of firewall instances to maintain at all times (scale-in floor).
Max InstancesMaximum number of instances the autoscaler may launch (scale-out ceiling).
Update IntervalHow often (in minutes) each firewall publishes metrics to the cloud monitoring service.
Metric ThresholdThe scale-out trigger value per metric. The scale-in threshold is auto-computed by the platform — you do not need to configure it.
For more information on parameters, see Step 10 in Deploy Prisma AIRS AI Runtime Security in AWS.