...
| Parameter | Description | Default value |
|---|---|---|
| autoscaling: | ||
| enabled: | Parameter to enable HPA by setting its value to true. | true |
| minReplicas: | Minimum number of pods for a microservice. | 1 |
| maxReplicas: | The maximum number of pods a microservice can scale up to. | 1 |
| targetCPUUtilizationPercentage: | Value in percentage of CPU requests set in the global values.yaml for runtimethe pods at which the autoscaler HPA spins up a new pod. | 400 |
| targetMemoryUtilizationPercentage: | Value in percentage of memory requests set in the global values.yaml for runtimethe podsat which the autoscaler HPA spins up a new pod. | 400 |
| behavior: | ||
| scaleUp: | ||
| stabilizationWindowSeconds: | The duration (in seconds) for which the application keeps a watch on the spikes in the resource utilization by the currently running pods. This helps in determining whether scaling up is required or not. | 300 |
| maxPodToScaleUp: | The maximum number of pods a microservice can scale up to at a time. | 1 |
| periodSeconds: | The time duration (in seconds) that sets the frequency of tracking the spikes in the resource utilization by the currently running pods. | 60 |
| scaleDown: | ||
| stabilizationWindowSeconds: | The duration (in seconds) for which the application keeps a watch for drop in resource utilization by the currently running pods. This helps in determining whether scaling down is required or not. | 300 |
| maxPodToScaleDown: | The maximum number of pods a microservice can scale down to at a time. | 1 |
| periodSeconds: | The time duration (in seconds) that sets the frequency of tracking the drop in the resource utilization by the currently running pods. | 60 |
...
| Parameter | Description | Default value |
|---|---|---|
| RUNTIME_AUTOSCALING_ENABLED: | Parameter to enable HPA by setting its value to true. | true |
| RUNTIME_MIN_POD: | Minimum number of pods. | 1 |
| RUNTIME_MAX_POD: | The maximum number of pods the runtime microservice can scale up to. | 1 |
| RUNTIME_AUTOSCALING_TARGETCPUUTILIZATIONPERCENTAGE: | The value Value in percentage of CPU utilization (in percentage) requests set in the global values.yaml for the runtime pods at which the autoscaler HPA spins up a new pod. | 400 |
| RUNTIME_AUTOSCALING_TARGETMEMORYUTILIZATIONPERCENTAGE: | The value Value in percentage of memory utilization (in percentage) requests set in the global values.yaml for the runtime podsat which the autoscaler HPA spins up a new pod. | 400 |
| RUNTIME_SCALE_UP_STABILIZATION_WINDOW_SECONDS: | The duration (in seconds) for which the application keeps a watch on the spikes in the resource utilization by the currently running pods. This helps in determining whether scaling up is required or not. | 300 |
| RUNTIME_MAX_POD_TO_SCALE_UP: | The maximum number of pods the runtime microservice can scale up to at a time. | 1 |
| RUNTIME_SCALE_UP_PERIOD_SECONDS: | The time duration (in seconds) that sets the frequency of tracking the spikes in the resource utilization by the currently running pods. | 60 |
| RUNTIME_SCALE_DOWN_STABILIZATION_WINDOW_SECONDS: | The duration (in seconds) for which the application keeps a watch for drop in resource utilization by the currently running pods. This helps in determining whether scaling down is required or not. | 300 |
| RUNTIME_MAX_POD_TO_SCALE_DOWN: | The maximum number of pods the runtime microservice can scale down to at a time. | 1 |
| RUNTIME_SCALE_DOWN_PERIOD_SECONDS: | The time duration (in seconds) that sets the frequency of tracking the drop in the resource utilization by the currently running pods. | 60 |
...