diff --git a/stable/xray/Chart.yaml b/stable/xray/Chart.yaml index e54688bf1..9c98420f7 100644 --- a/stable/xray/Chart.yaml +++ b/stable/xray/Chart.yaml @@ -24,4 +24,4 @@ name: xray sources: - https://github.com/jfrog/charts type: application -version: 103.104.8 +version: 103.104.9 diff --git a/stable/xray/values.yaml b/stable/xray/values.yaml index 1932e2f25..d0b0bd400 100644 --- a/stable/xray/values.yaml +++ b/stable/xray/values.yaml @@ -1609,78 +1609,78 @@ quota: ## Separate Xray into distinct pods ## (Enabling this setting will divide the Xray pod into two deployments: xray-server and xray-ipa) splitXraytoSeparateDeployments: - enabled: false - ## To prevent downtime (both the statefulset pod and deployment pod are kept together, with gradual upgrade set to false, which can turn off statefulsets in subsequent upgrades) - gradualUpgrade: false + enabled: false + ## To prevent downtime (both the statefulset pod and deployment pod are kept together, with gradual upgrade set to false, which can turn off statefulsets in subsequent upgrades) + gradualUpgrade: false replicaCountServer: 2 ## Apply horizontal pod auto scaling on Xray server pods ## Only applicable when (splitXraytoSeparateDeployments.enabled) is set to true ## Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ autoscalingServer: - enabled: false - minReplicas: 2 - maxReplicas: 3 - targetCPUUtilizationPercentage: 70 - targetMemoryUtilizationPercentage: 90 - ## Specify if using the keda hpa or regular basic hpa - ## Note: keda should be installed on the target cluster - ## Ref: https://keda.sh/docs/2.10/deploy/ - keda: - enabled: false - scaleUp: - stabilizationWindowSeconds: 90 - policies: - - type: Pods - value: 3 - periodSeconds: 30 - scaleDown: - stabilizationWindowSeconds: 90 - policies: - - type: Pods - value: 1 - periodSeconds: 30 - pollingInterval: 10 - cooldownPeriod: 10 - queues: - - name: policyEnforcer - value: "100" -## Apply horizontal pod auto scaling on Xray ipa pods -## Only applicable when (splitXraytoSeparateDeployments.enabled) is set to true -## Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ -autoscalingIpa: - enabled: false - minReplicas: 1 - maxReplicas: 3 - targetCPUUtilizationPercentage: 70 - targetMemoryUtilizationPercentage: 90 - ## Specify if using the keda hpa or regular basic hpa - ## Note: keda should be installed on the target cluster - ## Ref: https://keda.sh/docs/2.10/deploy/ - keda: - enabled: false - scaleUp: - stabilizationWindowSeconds: 90 - policies: - - type: Pods - value: 3 - periodSeconds: 30 - scaleDown: - stabilizationWindowSeconds: 90 - policies: - - type: Pods - value: 1 - periodSeconds: 30 - pollingInterval: 10 - cooldownPeriod: 10 - queues: - - name: analysis - value: "100" - - name: index - value: "100" - - name: persist - value: "100" - - name: impactAnalysis - value: "100" - - name: policyEnforcer - value: "100" + enabled: false + minReplicas: 2 + maxReplicas: 3 + targetCPUUtilizationPercentage: 70 + targetMemoryUtilizationPercentage: 90 + ## Specify if using the keda hpa or regular basic hpa + ## Note: keda should be installed on the target cluster + ## Ref: https://keda.sh/docs/2.10/deploy/ + keda: + enabled: false + scaleUp: + stabilizationWindowSeconds: 90 + policies: + - type: Pods + value: 3 + periodSeconds: 30 + scaleDown: + stabilizationWindowSeconds: 90 + policies: + - type: Pods + value: 1 + periodSeconds: 30 + pollingInterval: 10 + cooldownPeriod: 10 + queues: + - name: policyEnforcer + value: "100" + ## Apply horizontal pod auto scaling on Xray ipa pods + ## Only applicable when (splitXraytoSeparateDeployments.enabled) is set to true + ## Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ + autoscalingIpa: + enabled: false + minReplicas: 1 + maxReplicas: 3 + targetCPUUtilizationPercentage: 70 + targetMemoryUtilizationPercentage: 90 + ## Specify if using the keda hpa or regular basic hpa + ## Note: keda should be installed on the target cluster + ## Ref: https://keda.sh/docs/2.10/deploy/ + keda: + enabled: false + scaleUp: + stabilizationWindowSeconds: 90 + policies: + - type: Pods + value: 3 + periodSeconds: 30 + scaleDown: + stabilizationWindowSeconds: 90 + policies: + - type: Pods + value: 1 + periodSeconds: 30 + pollingInterval: 10 + cooldownPeriod: 10 + queues: + - name: analysis + value: "100" + - name: index + value: "100" + - name: persist + value: "100" + - name: impactAnalysis + value: "100" + - name: policyEnforcer + value: "100" ###################################################################################