Horizontal Pod Autoscaloing (HPA) governs the spinning up and deletion of additional pods when the existing resources (CPU and Memory) of the microservice are exhausted. In Adeptia Connect, Autoscaling is by default disabled. You can enable HPA in Adeptia Connect by setting the required parameters in the global values.yaml file.
To enable HPA, you need to set the parameters as described below for each of the microservices individually.
The following screenshot illustrates the autoscaling parameters for webrunner microservice.
| Parameter | Descrition |
|---|---|
| enabled | Parameter to enable HPA by setting its value to true. |
| minReplicas | Minimum number of pods for a microservice. |
| maxReplicas | The maximum number of pods to which a microservice can scale up. |
| targetCPUUtilizationPercentage | The percentage value of CPU utilization beyond which the autoscaler spins up a new pod. |
| targetmemoryUtilizationPercentage | The percentage value of memory utilization beyond which the autoscaler spins up a new pod. |
Runtime HPA:
no of pf in queued state - shared/Autoscaling
Run time pod (RabbitMQ_Concurrency :10)
For shared queue - runtime
Autoscaliing: Threshold : 5
12 PF : 10 Running , 2 Queue
16PF : 10 running, 6: queue
For dedicated queue, we have option in UI.
Configuring HPA for runtime microservice before deployment (shared queue)
autoscaler>env:>min pod , and max pod, max queue is Threshold
Configuring HPA for runtime microservice after deployment (shared queue)
go to shared directory
Open AUTOSCALING file in the in the /shared directory in edit mode
2 = min pod
2 = max pod
5 = max queue or Threshold
performance = namespace
runtime = shared queue name
runtime = name of the deployment
Save the file.
Changes are reflected within 30 secs.
Configuring HPA for runtime microservice (dedicated queue) - done only after deployment
can be performed only by admin user.
Refere to creating a queue "Creating a queue - Adeptia Connect Help v4.0 - Adeptia Docs"