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Core 2.9.1 release (#75)
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‎helm-charts/seldon-core-v2-crds/Chart.yaml‎

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apiVersion: v1
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appVersion: 2.9.0
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appVersion: 2.9.1
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description: Seldon Core V2 CRDs
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keywords:
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- kubernetes
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- machine-learning
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- mlops
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name: seldon-core-v2-crds
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version: 2.9.0
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version: 2.9.1

‎helm-charts/seldon-core-v2-crds/templates/seldon-v2-crds.yaml‎

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‎helm-charts/seldon-core-v2-runtime/Chart.yaml‎

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apiVersion: v1
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appVersion: 2.9.0
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appVersion: 2.9.1
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description: Seldon Core V2 Runtime
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keywords:
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- kubernetes
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- machine-learning
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- mlops
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name: seldon-core-v2-runtime
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version: 2.9.0
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version: 2.9.1

‎helm-charts/seldon-core-v2-servers/Chart.yaml‎

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apiVersion: v1
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appVersion: 2.9.0
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appVersion: 2.9.1
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description: Seldon Core V2 Servers
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keywords:
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- kubernetes
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- machine-learning
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- mlops
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name: seldon-core-v2-servers
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version: 2.9.0
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version: 2.9.1

‎helm-charts/seldon-core-v2-setup/Chart.yaml‎

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apiVersion: v1
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appVersion: 2.9.0
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appVersion: 2.9.1
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description: Seldon Core V2 Setup
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keywords:
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- kubernetes
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- machine-learning
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- mlops
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name: seldon-core-v2-setup
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version: 2.9.0
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version: 2.9.1

‎helm-charts/seldon-core-v2-setup/templates/seldon-v2-components.yaml‎

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@@ -183,7 +183,7 @@ rules:
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- list
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- watch
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---
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{{- if .Values.controller.clusterwide -}}
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{{- if and (not .Values.controller.skipClusterRoleCreation) (or .Values.controller.clusterwide .Values.controller.watchNamespaces) -}}
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apiVersion: rbac.authorization.k8s.io/v1
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kind: ClusterRole
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metadata:
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name: seldon-v2-controller-manager
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namespace: '{{ .Release.Namespace }}'
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---
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{{- if .Values.controller.clusterwide -}}
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{{- if or .Values.controller.clusterwide .Values.controller.watchNamespaces -}}
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apiVersion: rbac.authorization.k8s.io/v1
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kind: ClusterRoleBinding
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metadata:
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name: seldon-v2-manager-rolebinding
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name: seldon-v2-manager-rolebinding-{{ .Release.Namespace }}
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roleRef:
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apiGroup: rbac.authorization.k8s.io
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kind: ClusterRole
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- args:
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- --health-probe-bind-address=:8081
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- --leader-elect
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- --watch-namespaces=$(WATCH_NAMESPACES)
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- --namespace=$(POD_NAMESPACE)
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- --clusterwide=$(CLUSTERWIDE)
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- --log-level=$(LOG_LEVEL)
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- name: LOG_LEVEL
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value: '{{ hasKey .Values.controller "logLevel" | ternary .Values.controller.logLevel
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.Values.logging.logLevel }}'
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- name: WATCH_NAMESPACES
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value: '{{ join "," .Values.controller.watchNamespaces }}'
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- name: POD_NAMESPACE
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valueFrom:
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fieldRef:
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value: "9006"
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- name: SELDON_DRAINER_PORT
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value: "9007"
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- name: SELDON_READINESS_PORT
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value: "9008"
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- name: AGENT_TLS_SECRET_NAME
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value: ""
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- name: AGENT_TLS_FOLDER_PATH
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- containerPort: 9006
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name: metrics
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protocol: TCP
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- containerPort: 9008
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name: readiness-port
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readinessProbe:
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failureThreshold: 1
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httpGet:
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path: /ready
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port: 9008
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periodSeconds: 5
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resources:
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limits:
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memory: '{{ .Values.serverConfig.agent.resources.memory }}'
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requests:
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cpu: '{{ .Values.serverConfig.agent.resources.cpu }}'
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memory: '{{ .Values.serverConfig.agent.resources.memory }}'
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startupProbe:
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failureThreshold: 60
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httpGet:
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path: /ready
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port: 9008
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periodSeconds: 15
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volumeMounts:
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- mountPath: /mnt/agent
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name: mlserver-models
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value: "9006"
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- name: SELDON_DRAINER_PORT
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value: "9007"
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- name: SELDON_READINESS_PORT
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value: "9008"
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- name: SELDON_SERVER_TYPE
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value: triton
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- name: POD_NAME
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- containerPort: 9006
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name: metrics
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protocol: TCP
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- containerPort: 9008
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name: readiness-port
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readinessProbe:
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failureThreshold: 1
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httpGet:
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path: /ready
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port: 9008
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periodSeconds: 5
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resources:
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limits:
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memory: '{{ .Values.serverConfig.agent.resources.memory }}'
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requests:
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cpu: '{{ .Values.serverConfig.agent.resources.cpu }}'
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memory: '{{ .Values.serverConfig.agent.resources.memory }}'
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startupProbe:
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failureThreshold: 60
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httpGet:
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path: /ready
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port: 9008
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periodSeconds: 15
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volumeMounts:
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- mountPath: /mnt/agent
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name: triton-models

‎helm-charts/seldon-core-v2-setup/values.yaml‎

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@@ -93,7 +93,7 @@ hodometer:
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-hodometer
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tag: 2.9.0
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tag: 2.9.1
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logLevel: info
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metricsLevel: feature
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extraPublishUrls: ""
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-modelgateway
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tag: 2.9.0
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tag: 2.9.1
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workers: 8
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resources:
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cpu: 100m
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-pipelinegateway
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tag: 2.9.0
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tag: 2.9.1
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resources:
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cpu: 100m
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memory: 1G
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-dataflow-engine
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tag: 2.9.0
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tag: 2.9.1
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cores: 4
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resources:
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cpu: 100m
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controller:
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clusterwide: false
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skipOperatorClusterRoleCreation: false
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image:
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldonv2-controller
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tag: 2.9.0
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tag: 2.9.1
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resources:
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cpu: 10m
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memory: 64Mi
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-envoy
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tag: 2.9.0
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tag: 2.9.1
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resources:
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cpu: 100m
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memory: 128Mi
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-scheduler
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tag: 2.9.0
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tag: 2.9.1
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resources:
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cpu: 100m
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memory: 1Gi
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-rclone
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tag: 2.9.0
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tag: 2.9.1
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resources:
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cpu: 50m
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memory: 128Mi
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/seldon-agent
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tag: 2.9.0
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tag: 2.9.1
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overcommitPercentage: "10"
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scalingStatsPeriodSeconds: "20"
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modelInferenceLagThreshold: "30"
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pullPolicy: IfNotPresent
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registry: docker.io
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repository: seldonio/mlserver
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tag: 1.6.1
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tag: 1.7.1
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serverCapabilities: "mlserver,alibi-detect,alibi-explain,huggingface,lightgbm,mlflow,python,sklearn,spark-mlib,xgboost"
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modelVolumeStorage: 1Gi
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resources:

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