# Copyright Broadcom, Inc. All Rights Reserved. # SPDX-License-Identifier: APACHE-2.0 ## @section Global parameters ## Global Docker image parameters ## Please, note that this will override the image parameters, including dependencies, configured to use the global value ## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass ## ## @param global.imageRegistry Global Docker image registry ## @param global.imagePullSecrets Global Docker registry secret names as an array ## @param global.defaultStorageClass Global default StorageClass for Persistent Volume(s) ## @param global.storageClass DEPRECATED: use global.defaultStorageClass instead ## global: imageRegistry: "" ## E.g. ## imagePullSecrets: ## - myRegistryKeySecretName ## imagePullSecrets: [] defaultStorageClass: "" storageClass: "" ## Compatibility adaptations for Kubernetes platforms ## compatibility: ## Compatibility adaptations for Openshift ## openshift: ## @param global.compatibility.openshift.adaptSecurityContext Adapt the securityContext sections of the deployment to make them compatible with Openshift restricted-v2 SCC: remove runAsUser, runAsGroup and fsGroup and let the platform use their allowed default IDs. Possible values: auto (apply if the detected running cluster is Openshift), force (perform the adaptation always), disabled (do not perform adaptation) ## adaptSecurityContext: auto ## @section Common parameters ## ## @param kubeVersion Override Kubernetes version ## kubeVersion: "" ## @param nameOverride String to partially override common.names.name ## nameOverride: "" ## @param fullnameOverride String to fully override common.names.fullname ## fullnameOverride: "" ## @param namespaceOverride String to fully override common.names.namespace ## namespaceOverride: "" ## @param commonLabels Labels to add to all deployed objects ## commonLabels: {} ## @param commonAnnotations Annotations to add to all deployed objects ## commonAnnotations: {} ## @param clusterDomain Kubernetes cluster domain name ## clusterDomain: cluster.local ## @param extraDeploy Array of extra objects to deploy with the release ## extraDeploy: [] ## Enable diagnostic mode in the deployment ## diagnosticMode: ## @param diagnosticMode.enabled Enable diagnostic mode (all probes will be disabled and the command will be overridden) ## enabled: false ## @param diagnosticMode.command Command to override all containers in the deployment ## command: - sleep ## @param diagnosticMode.args Args to override all containers in the deployment ## args: - infinity ## @section MLflow common Parameters ## ## Bitnami mlflow image ## ref: https://hub.docker.com/r/bitnami/mlflow/tags/ ## @param image.registry [default: REGISTRY_NAME] mlflow image registry ## @param image.repository [default: REPOSITORY_NAME/mlflow] mlflow image repository ## @skip image.tag mlflow image tag (immutable tags are recommended) ## @param image.digest mlflow image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag image tag (immutable tags are recommended) ## @param image.pullPolicy mlflow image pull policy ## @param image.pullSecrets mlflow image pull secrets ## @param image.debug Enable mlflow image debug mode ## image: registry: docker.io repository: bitnamilegacy/mlflow tag: 2.17.2-debian-12-r0 digest: "" ## Specify a imagePullPolicy ## ref: https://kubernetes.io/docs/concepts/containers/images/#pre-pulled-images ## pullPolicy: IfNotPresent ## Optionally specify an array of imagePullSecrets. ## Secrets must be manually created in the namespace. ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## e.g: ## pullSecrets: ## - myRegistryKeySecretName ## pullSecrets: [] ## Enable debug mode ## debug: false ## Bitnami git image version ## ref: https://hub.docker.com/r/bitnami/git/tags/ ## @param gitImage.registry [default: REGISTRY_NAME] Git image registry ## @param gitImage.repository [default: REPOSITORY_NAME/git] Git image repository ## @skip gitImage.tag Git image tag (immutable tags are recommended) ## @param gitImage.digest Git image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag ## @param gitImage.pullPolicy Git image pull policy ## @param gitImage.pullSecrets Specify docker-registry secret names as an array ## gitImage: registry: docker.io repository: bitnamilegacy/git tag: 2.47.0-debian-12-r1 digest: "" pullPolicy: IfNotPresent ## Optionally specify an array of imagePullSecrets. ## Secrets must be manually created in the namespace. ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## Example: ## pullSecrets: ## - myRegistryKeySecretName ## pullSecrets: [] ## @section MLflow Tracking parameters ## tracking: ## @param tracking.enabled Enable Tracking server ## enabled: true ## @param tracking.replicaCount Number of mlflow replicas to deploy ## replicaCount: 1 ## @param tracking.host mlflow tracking listening host. Set to "[::]" to use ipv6. ## host: "0.0.0.0" ## @param tracking.containerPorts.http mlflow HTTP container port ## containerPorts: http: 5000 ## Configure extra options for mlflow containers' liveness and readiness probes ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes ## @param tracking.livenessProbe.enabled Enable livenessProbe on mlflow containers ## @param tracking.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe ## @param tracking.livenessProbe.periodSeconds Period seconds for livenessProbe ## @param tracking.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe ## @param tracking.livenessProbe.failureThreshold Failure threshold for livenessProbe ## @param tracking.livenessProbe.successThreshold Success threshold for livenessProbe ## livenessProbe: enabled: true initialDelaySeconds: 5 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 5 successThreshold: 1 ## @param tracking.readinessProbe.enabled Enable readinessProbe on mlflow containers ## @param tracking.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe ## @param tracking.readinessProbe.periodSeconds Period seconds for readinessProbe ## @param tracking.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe ## @param tracking.readinessProbe.failureThreshold Failure threshold for readinessProbe ## @param tracking.readinessProbe.successThreshold Success threshold for readinessProbe ## readinessProbe: enabled: true initialDelaySeconds: 5 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 5 successThreshold: 1 ## @param tracking.startupProbe.enabled Enable startupProbe on mlflow containers ## @param tracking.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe ## @param tracking.startupProbe.periodSeconds Period seconds for startupProbe ## @param tracking.startupProbe.timeoutSeconds Timeout seconds for startupProbe ## @param tracking.startupProbe.failureThreshold Failure threshold for startupProbe ## @param tracking.startupProbe.successThreshold Success threshold for startupProbe ## startupProbe: enabled: false initialDelaySeconds: 5 periodSeconds: 10 timeoutSeconds: 5 failureThreshold: 5 successThreshold: 1 ## @param tracking.customLivenessProbe Custom livenessProbe that overrides the default one ## customLivenessProbe: {} ## @param tracking.customReadinessProbe Custom readinessProbe that overrides the default one ## customReadinessProbe: {} ## @param tracking.customStartupProbe Custom startupProbe that overrides the default one ## customStartupProbe: {} ## mlflow resource requests and limits ## ref: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/ ## @param tracking.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if tracking.resources is set (tracking.resources is recommended for production). ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15 ## resourcesPreset: "medium" ## @param tracking.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads) ## Example: ## resources: ## requests: ## cpu: 2 ## memory: 512Mi ## limits: ## cpu: 3 ## memory: 1024Mi ## resources: {} ## Configure Pods Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod ## @param tracking.podSecurityContext.enabled Enabled mlflow pods' Security Context ## @param tracking.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy ## @param tracking.podSecurityContext.sysctls Set kernel settings using the sysctl interface ## @param tracking.podSecurityContext.supplementalGroups Set filesystem extra groups ## @param tracking.podSecurityContext.fsGroup Set mlflow pod's Security Context fsGroup ## podSecurityContext: enabled: true fsGroupChangePolicy: Always sysctls: [] supplementalGroups: [] fsGroup: 1001 ## Configure Container Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container ## @param tracking.containerSecurityContext.enabled Enabled containers' Security Context ## @param tracking.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container ## @param tracking.containerSecurityContext.runAsUser Set containers' Security Context runAsUser ## @param tracking.containerSecurityContext.runAsGroup Set containers' Security Context runAsGroup ## @param tracking.containerSecurityContext.privileged Set containers' Security Context privileged ## @param tracking.containerSecurityContext.runAsNonRoot Set containers' Security Context runAsNonRoot ## @param tracking.containerSecurityContext.readOnlyRootFilesystem Set containers' Security Context readOnlyRootFilesystem ## @param tracking.containerSecurityContext.allowPrivilegeEscalation Set container's privilege escalation ## @param tracking.containerSecurityContext.capabilities.drop Set container's Security Context runAsNonRoot ## @param tracking.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile ## containerSecurityContext: enabled: true seLinuxOptions: {} runAsUser: 1001 runAsGroup: 1001 runAsNonRoot: true privileged: false readOnlyRootFilesystem: true allowPrivilegeEscalation: false capabilities: drop: ["ALL"] seccompProfile: type: "RuntimeDefault" ## Basic authentication ## @param tracking.auth.enabled Enable basic authentication ## @param tracking.auth.username Admin username ## @param tracking.auth.password Admin password ## @param tracking.auth.existingSecret Name of a secret containing the admin password ## @param tracking.auth.existingSecretUserKey Key inside the secret containing the admin password ## @param tracking.auth.existingSecretPasswordKey Key inside the secret containing the admin password ## @param tracking.auth.extraOverrides Add extra settings to the basic_auth.ini file ## @param tracking.auth.overridesConfigMap Name of a ConfigMap containing overrides to the basic_auth.ini file auth: enabled: true username: user password: "" existingSecret: "" existingSecretUserKey: "" existingSecretPasswordKey: "" extraOverrides: {} overridesConfigMap: "" ## TLS configuration ## tls: ## @param tracking.tls.enabled Enable TLS traffic support ## enabled: false ## @param tracking.tls.autoGenerated Generate automatically self-signed TLS certificates ## autoGenerated: false ## @param tracking.tls.certificatesSecret Name of an existing secret that contains the certificates ## certificatesSecret: "" ## @param tracking.tls.certFilename Certificate filename ## certFilename: "" ## @param tracking.tls.certKeyFilename Certificate key filename ## certKeyFilename: "" ## @param tracking.tls.certCAFilename CA Certificate filename ## If provided, PostgreSQL will authenticate TLS/SSL clients by requesting them a certificate ## ref: https://www.postgresql.org/docs/9.6/auth-methods.html ## certCAFilename: "" ## @param tracking.command Override default container command (useful when using custom images) ## command: [] ## @param tracking.args Override default container args (useful when using custom images) ## args: [] ## @param tracking.extraArgs Add extra arguments together with the default ones ## extraArgs: [] ## @param tracking.runUpgradeDB Add an init container to run mlflow db upgrade ## runUpgradeDB: false ## @param tracking.automountServiceAccountToken Mount Service Account token in pod ## automountServiceAccountToken: false ## @param tracking.hostAliases mlflow pods host aliases ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/ ## hostAliases: [] ## @param tracking.podLabels Extra labels for mlflow pods ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/ ## podLabels: {} ## @param tracking.podAnnotations Annotations for mlflow pods ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/ ## podAnnotations: {} ## @param tracking.podAffinityPreset Pod affinity preset. Ignored if `.affinity` is set. Allowed values: `soft` or `hard` ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity ## podAffinityPreset: "" ## @param tracking.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `.affinity` is set. Allowed values: `soft` or `hard` ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity ## podAntiAffinityPreset: soft ## Pod Disruption Budget configuration ## ref: https://kubernetes.io/docs/tasks/run-application/configure-pdb ## @param tracking.pdb.create Enable/disable a Pod Disruption Budget creation ## @param tracking.pdb.minAvailable Minimum number/percentage of pods that should remain scheduled ## @param tracking.pdb.maxUnavailable Maximum number/percentage of pods that may be made unavailable ## pdb: create: true minAvailable: "" maxUnavailable: "" ## Autoscaling configuration ## ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ ## autoscaling: hpa: ## @param tracking.autoscaling.hpa.enabled Enable HPA ## enabled: false ## @param tracking.autoscaling.hpa.minReplicas Minimum number of replicas ## minReplicas: "" ## @param tracking.autoscaling.hpa.maxReplicas Maximum number of replicas ## maxReplicas: "" ## @param tracking.autoscaling.hpa.targetCPU Target CPU utilization percentage ## targetCPU: "" ## @param tracking.autoscaling.hpa.targetMemory Target Memory utilization percentage ## targetMemory: "" vpa: ## @param tracking.autoscaling.vpa.enabled Enable VPA ## enabled: false ## @param tracking.autoscaling.vpa.annotations Annotations for VPA resource ## annotations: {} ## @param tracking.autoscaling.vpa.controlledResources VPA List of resources that the vertical pod autoscaler can control. Defaults to cpu and memory ## controlledResources: [] ## @param tracking.autoscaling.vpa.maxAllowed VPA Max allowed resources for the pod ## cpu: 200m ## memory: 100Mi maxAllowed: {} ## @param tracking.autoscaling.vpa.minAllowed VPA Min allowed resources for the pod ## cpu: 200m ## memory: 100Mi minAllowed: {} updatePolicy: ## @param tracking.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod ## Possible values are "Off", "Initial", "Recreate", and "Auto". ## updateMode: Auto ## Node .affinity preset ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity ## nodeAffinityPreset: ## @param tracking.nodeAffinityPreset.type Node affinity preset type. Ignored if `.affinity` is set. Allowed values: `soft` or `hard` ## type: "" ## @param tracking.nodeAffinityPreset.key Node label key to match. Ignored if `.affinity` is set ## key: "" ## @param tracking.nodeAffinityPreset.values Node label values to match. Ignored if `.affinity` is set ## E.g. ## values: ## - e2e-az1 ## - e2e-az2 ## values: [] ## @param tracking.affinity Affinity for mlflow pods assignment ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity ## NOTE: `.podAffinityPreset`, `.podAntiAffinityPreset`, and `.nodeAffinityPreset` will be ignored when it's set ## affinity: {} ## @param tracking.nodeSelector Node labels for mlflow pods assignment ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/assign-pods-nodes/ ## nodeSelector: {} ## @param tracking.tolerations Tolerations for mlflow pods assignment ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/ ## tolerations: [] ## @param tracking.updateStrategy.type mlflow statefulset strategy type ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies ## updateStrategy: ## StrategyType ## Can be set to RollingUpdate or OnDelete ## type: RollingUpdate ## @param tracking.priorityClassName mlflow pods' priorityClassName ## priorityClassName: "" ## @param tracking.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods ## topologySpreadConstraints: [] ## @param tracking.schedulerName Name of the k8s scheduler (other than default) for mlflow pods ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/ ## schedulerName: "" ## @param tracking.terminationGracePeriodSeconds Seconds Redmine pod needs to terminate gracefully ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods ## terminationGracePeriodSeconds: "" ## @param tracking.lifecycleHooks for the mlflow container(s) to automate configuration before or after startup ## lifecycleHooks: {} ## @param tracking.extraEnvVars Array with extra environment variables to add to mlflow nodes ## e.g: ## extraEnvVars: ## - name: FOO ## value: "bar" ## extraEnvVars: [] ## @param tracking.extraEnvVarsCM Name of existing ConfigMap containing extra env vars for mlflow nodes ## extraEnvVarsCM: "" ## @param tracking.extraEnvVarsSecret Name of existing Secret containing extra env vars for mlflow nodes ## extraEnvVarsSecret: "" ## @param tracking.extraVolumes Optionally specify extra list of additional volumes for the mlflow pod(s) ## extraVolumes: [] ## @param tracking.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the mlflow container(s) ## extraVolumeMounts: [] ## @param tracking.sidecars Add additional sidecar containers to the mlflow pod(s) ## e.g: ## sidecars: ## - name: your-image-name ## image: your-image ## imagePullPolicy: Always ## ports: ## - name: portname ## containerPort: 1234 ## sidecars: [] ## @param tracking.enableDefaultInitContainers Add default init containers to the deployment ## enableDefaultInitContainers: true ## @param tracking.initContainers Add additional init containers to the mlflow pod(s) ## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/ ## e.g: ## initContainers: ## - name: your-image-name ## image: your-image ## imagePullPolicy: Always ## command: ['sh', '-c', 'echo "hello world"'] ## initContainers: [] ## @section MLflow Tracking Traffic Exposure Parameters ## ## mlflow service parameters ## service: ## @param tracking.service.type mlflow service type ## type: LoadBalancer ## @param tracking.service.ports.http mlflow service HTTP port ## @param tracking.service.ports.https mlflow service HTTPS port ## ports: http: 80 https: 443 ## Node ports to expose ## @param tracking.service.nodePorts.http Node port for HTTP ## @param tracking.service.nodePorts.https Node port for HTTPS ## NOTE: choose port between <30000-32767> ## nodePorts: http: "" https: "" ## @param tracking.service.clusterIP mlflow service Cluster IP ## e.g.: ## clusterIP: None ## clusterIP: "" ## @param tracking.service.loadBalancerIP mlflow service Load Balancer IP ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-loadbalancer ## loadBalancerIP: "" ## @param tracking.service.loadBalancerSourceRanges mlflow service Load Balancer sources ## ref: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service ## e.g: ## loadBalancerSourceRanges: ## - 10.10.10.0/24 ## loadBalancerSourceRanges: [] ## @param tracking.service.labels Add labels to the service object ## labels: {} ## @param tracking.service.externalTrafficPolicy mlflow service external traffic policy ## ref http://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip ## externalTrafficPolicy: Cluster ## @param tracking.service.annotations Additional custom annotations for mlflow service ## annotations: {} ## @param tracking.service.extraPorts Extra ports to expose in mlflow service (normally used with the `sidecars` value) ## extraPorts: [] ## @param tracking.service.sessionAffinity Control where client requests go, to the same pod or round-robin ## Values: ClientIP or None ## ref: https://kubernetes.io/docs/concepts/services-networking/service/ ## sessionAffinity: None ## @param tracking.service.sessionAffinityConfig Additional settings for the sessionAffinity ## sessionAffinityConfig: ## clientIP: ## timeoutSeconds: 300 ## sessionAffinityConfig: {} ## mlflow ingress parameters ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/ ## ingress: ## @param tracking.ingress.enabled Enable ingress record generation for mlflow ## enabled: false ## @param tracking.ingress.pathType Ingress path type ## pathType: ImplementationSpecific ## @param tracking.ingress.hostname Default host for the ingress record ## hostname: mlflow.local ## @param tracking.ingress.ingressClassName IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+) ## This is supported in Kubernetes 1.18+ and required if you have more than one IngressClass marked as the default for your cluster . ## ref: https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/ ## ingressClassName: "" ## @param tracking.ingress.path Default path for the ingress record ## NOTE: You may need to set this to '/*' in order to use this with ALB ingress controllers ## path: / ## @param tracking.ingress.annotations Additional annotations for the Ingress resource. To enable certificate autogeneration, place here your cert-manager annotations. ## Use this parameter to set the required annotations for cert-manager, see ## ref: https://cert-manager.io/docs/usage/ingress/#supported-annotations ## e.g: ## annotations: ## kubernetes.io/ingress.class: nginx ## cert-manager.io/cluster-issuer: cluster-issuer-name ## annotations: {} ## @param tracking.ingress.tls Enable TLS configuration for the host defined at `ingress.hostname` parameter ## TLS certificates will be retrieved from a TLS secret with name: `{{- printf "%s-tls" .Values.ingress.hostname }}` ## You can: ## - Use the `ingress.secrets` parameter to create this TLS secret ## - Rely on cert-manager to create it by setting the corresponding annotations ## - Rely on Helm to create self-signed certificates by setting `ingress.selfSigned=true` ## tls: false ## @param tracking.ingress.selfSigned Create a TLS secret for this ingress record using self-signed certificates generated by Helm ## selfSigned: false ## @param tracking.ingress.extraHosts An array with additional hostname(s) to be covered with the ingress record ## e.g: ## extraHosts: ## - name: mlflow.local ## path: / ## extraHosts: [] ## @param tracking.ingress.extraPaths An array with additional arbitrary paths that may need to be added to the ingress under the main host ## e.g: ## extraPaths: ## - path: /* ## backend: ## serviceName: ssl-redirect ## servicePort: use-annotation ## extraPaths: [] ## @param tracking.ingress.extraTls TLS configuration for additional hostname(s) to be covered with this ingress record ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#tls ## e.g: ## extraTls: ## - hosts: ## - mlflow.local ## secretName: mlflow.local-tls ## extraTls: [] ## @param tracking.ingress.secrets Custom TLS certificates as secrets ## NOTE: 'key' and 'certificate' are expected in PEM format ## NOTE: 'name' should line up with a 'secretName' set further up ## If it is not set and you're using cert-manager, this is unneeded, as it will create a secret for you with valid certificates ## If it is not set and you're NOT using cert-manager either, self-signed certificates will be created valid for 365 days ## It is also possible to create and manage the certificates outside of this helm chart ## Please see README.md for more information ## e.g: ## secrets: ## - name: mlflow.local-tls ## key: |- ## -----BEGIN RSA PRIVATE KEY----- ## ... ## -----END RSA PRIVATE KEY----- ## certificate: |- ## -----BEGIN CERTIFICATE----- ## ... ## -----END CERTIFICATE----- ## secrets: [] ## @param tracking.ingress.extraRules Additional rules to be covered with this ingress record ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#ingress-rules ## e.g: ## extraRules: ## - host: example.local ## http: ## path: / ## backend: ## service: ## name: example-svc ## port: ## name: http ## extraRules: [] ## Network Policy configuration ## ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/ ## networkPolicy: ## @param tracking.networkPolicy.enabled Enable creation of NetworkPolicy resources ## enabled: true ## @param tracking.networkPolicy.allowExternal The Policy model to apply ## When set to false, only pods with the correct client label will have network access to the ports MLFlow is ## listening on. When true, MLFlow will accept connections from any source (with the correct destination port). ## allowExternal: true ## @param tracking.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations. ## allowExternalEgress: true ## @param tracking.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy ## e.g: ## extraIngress: ## - ports: ## - port: 1234 ## from: ## - podSelector: ## - matchLabels: ## - role: frontend ## - podSelector: ## - matchExpressions: ## - key: role ## operator: In ## values: ## - frontend ## extraIngress: [] ## @param tracking.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy ## e.g: ## extraEgress: ## - ports: ## - port: 1234 ## to: ## - podSelector: ## - matchLabels: ## - role: frontend ## - podSelector: ## - matchExpressions: ## - key: role ## operator: In ## values: ## - frontend ## extraEgress: [] ## @param tracking.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces ## @param tracking.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces ## ingressNSMatchLabels: {} ingressNSPodMatchLabels: {} ## @section MLflow Tracking Persistence Parameters ## ## Enable persistence using Persistent Volume Claims ## ref: https://kubernetes.io/docs/concepts/storage/persistent-volumes/ ## persistence: ## @param tracking.persistence.enabled Enable persistence using Persistent Volume Claims ## enabled: true ## @param tracking.persistence.mountPath Path to mount the volume at. ## mountPath: /bitnami/mlflow ## @param tracking.persistence.subPath The subdirectory of the volume to mount to, useful in dev environments and one PV for multiple services ## subPath: "" ## @param tracking.persistence.storageClass Storage class of backing PVC ## If defined, storageClassName: ## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## storageClass: "" ## @param tracking.persistence.labels Persistent Volume labels ## labels: {} ## @param tracking.persistence.annotations Persistent Volume Claim annotations ## annotations: {} ## @param tracking.persistence.accessModes Persistent Volume Access Modes ## accessModes: - ReadWriteOnce ## @param tracking.persistence.size Size of data volume ## size: 8Gi ## @param tracking.persistence.existingClaim The name of an existing PVC to use for persistence ## existingClaim: "" ## @param tracking.persistence.selector Selector to match an existing Persistent Volume for MLflow data PVC ## If set, the PVC can't have a PV dynamically provisioned for it ## E.g. ## selector: ## matchLabels: ## app: my-app ## selector: {} ## @param tracking.persistence.dataSource Custom PVC data source ## dataSource: {} ## @section MLflow Tracking Other Parameters ## serviceAccount: ## @param tracking.serviceAccount.create Specifies whether a ServiceAccount should be created ## create: true ## @param tracking.serviceAccount.name The name of the ServiceAccount to use. ## If not set and create is true, a name is generated using the common.names.fullname template ## name: "" ## @param tracking.serviceAccount.annotations Additional Service Account annotations (evaluated as a template) ## annotations: {} ## @param tracking.serviceAccount.automountServiceAccountToken Automount service account token for the server service account ## automountServiceAccountToken: false ## @section MLflow Tracking Metrics Parameters ## metrics: ## @param tracking.metrics.enabled Enable the export of Prometheus metrics ## enabled: false ## @param tracking.metrics.annotations [object] Annotations for the tracking service in order to scrape metrics annotations: prometheus.io/scrape: "true" prometheus.io/port: "{{ .Values.tracking.service.ports.http }}" ## Prometheus Operator ServiceMonitor configuration ## serviceMonitor: ## @param tracking.metrics.serviceMonitor.enabled if `true`, creates a Prometheus Operator ServiceMonitor (also requires `metrics.enabled` to be `true`) ## enabled: false ## @param tracking.metrics.serviceMonitor.namespace Namespace in which Prometheus is running ## namespace: "" ## @param tracking.metrics.serviceMonitor.annotations Additional custom annotations for the ServiceMonitor ## annotations: {} ## @param tracking.metrics.serviceMonitor.labels Extra labels for the ServiceMonitor ## labels: {} ## @param tracking.metrics.serviceMonitor.jobLabel The name of the label on the target service to use as the job name in Prometheus ## jobLabel: "" ## @param tracking.metrics.serviceMonitor.honorLabels honorLabels chooses the metric's labels on collisions with target labels ## honorLabels: false ## @param tracking.metrics.serviceMonitor.interval Interval at which metrics should be scraped. ## ref: https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#endpoint ## e.g: ## interval: 10s ## interval: "" ## @param tracking.metrics.serviceMonitor.scrapeTimeout Timeout after which the scrape is ended ## ref: https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#endpoint ## e.g: ## scrapeTimeout: 10s ## scrapeTimeout: "" ## @param tracking.metrics.serviceMonitor.metricRelabelings Specify additional relabeling of metrics ## metricRelabelings: [] ## @param tracking.metrics.serviceMonitor.relabelings Specify general relabeling ## relabelings: [] ## @param tracking.metrics.serviceMonitor.selector Prometheus instance selector labels ## ref: https://github.com/bitnami/charts/tree/main/bitnami/prometheus-operator#prometheus-configuration ## selector: ## prometheus: my-prometheus ## selector: {} ## @section MLflow Run Parameters ## run: ## @param run.enabled Enable Run deployment ## enabled: true ## @param run.useJob Deploy as job ## useJob: false ## @param run.backoffLimit set backoff limit of the job ## backoffLimit: 10 ## @param run.restartPolicy set restart policy of the job ## restartPolicy: OnFailure ## @param run.extraEnvVars Array with extra environment variables to add to run nodes ## e.g: ## extraEnvVars: ## - name: FOO ## value: "bar" ## extraEnvVars: [] ## @param run.extraEnvVarsCM Name of existing ConfigMap containing extra env vars for run nodes ## extraEnvVarsCM: "" ## @param run.extraEnvVarsSecret Name of existing Secret containing extra env vars for run nodes ## extraEnvVarsSecret: "" ## @param run.annotations Annotations for the run deployment ## annotations: {} ## @param run.command Override default container command (useful when using custom images) ## command: [] ## @param run.args Override default container args (useful when using custom images) ## args: [] ## @param run.terminationGracePeriodSeconds Run termination grace period (in seconds) ## terminationGracePeriodSeconds: "" ## @param run.customLivenessProbe Custom livenessProbe that overrides the default one ## customLivenessProbe: {} ## @param run.customReadinessProbe Custom readinessProbe that overrides the default one ## customReadinessProbe: {} ## @param run.customStartupProbe Custom startupProbe that overrides the default one ## customStartupProbe: {} ## run resource requests and limits ## ref: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/ ## @param run.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if run.resources is set (run.resources is recommended for production). ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15 ## resourcesPreset: "small" ## @param run.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads) ## Example: ## resources: ## requests: ## cpu: 2 ## memory: 512Mi ## limits: ## cpu: 3 ## memory: 1024Mi ## resources: {} ## Configure Pods Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod ## @param run.podSecurityContext.enabled Enabled Run pods' Security Context ## @param run.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy ## @param run.podSecurityContext.sysctls Set kernel settings using the sysctl interface ## @param run.podSecurityContext.supplementalGroups Set filesystem extra groups ## @param run.podSecurityContext.fsGroup Set Run pod's Security Context fsGroup ## podSecurityContext: enabled: true fsGroupChangePolicy: Always sysctls: [] supplementalGroups: [] fsGroup: 1001 ## Configure Container Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod ## @param run.containerSecurityContext.enabled Enabled Run containers' Security Context ## @param run.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container ## @param run.containerSecurityContext.runAsUser Set Run containers' Security Context runAsUser ## @param run.containerSecurityContext.runAsGroup Set Run containers' Security Context runAsGroup ## @param run.containerSecurityContext.runAsNonRoot Set Run containers' Security Context runAsNonRoot ## @param run.containerSecurityContext.privileged Set Run containers' Security Context privileged ## @param run.containerSecurityContext.readOnlyRootFilesystem Set Run containers' Security Context runAsNonRoot ## @param run.containerSecurityContext.allowPrivilegeEscalation Set Run container's privilege escalation ## @param run.containerSecurityContext.capabilities.drop Set Run container's Security Context runAsNonRoot ## @param run.containerSecurityContext.seccompProfile.type Set Run container's Security Context seccomp profile ## containerSecurityContext: enabled: true seLinuxOptions: {} runAsUser: 1001 runAsGroup: 1001 runAsNonRoot: true privileged: false readOnlyRootFilesystem: true allowPrivilegeEscalation: false capabilities: drop: ["ALL"] seccompProfile: type: "RuntimeDefault" ## @param run.lifecycleHooks for the run container(s) to automate configuration before or after startup ## lifecycleHooks: {} ## @param run.runtimeClassName Name of the runtime class to be used by pod(s) ## ref: https://kubernetes.io/docs/concepts/containers/runtime-class/ ##https://github.com/microsoft/MlflowExamples runtimeClassName: "" ## @param run.automountServiceAccountToken Mount Service Account token in pod ## automountServiceAccountToken: false ## @param run.hostAliases run pods host aliases ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/ ## hostAliases: [] ## @param run.labels Extra labels for the run deployment ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/ ## labels: {} ## @param run.podLabels Extra labels for run pods ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/ ## podLabels: {} ## @param run.podAnnotations Annotations for run pods ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/ ## podAnnotations: {} ## @param run.podAffinityPreset Pod affinity preset. Ignored if `run.affinity` is set. Allowed values: `soft` or `hard` ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity ## podAffinityPreset: "" ## @param run.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `run.affinity` is set. Allowed values: `soft` or `hard` ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity ## podAntiAffinityPreset: soft ## Node run.affinity preset ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity ## nodeAffinityPreset: ## @param run.nodeAffinityPreset.type Node affinity preset type. Ignored if `run.affinity` is set. Allowed values: `soft` or `hard` ## type: "" ## @param run.nodeAffinityPreset.key Node label key to match. Ignored if `run.affinity` is set ## key: "" ## @param run.nodeAffinityPreset.values Node label values to match. Ignored if `run.affinity` is set ## E.g. ## values: ## - e2e-az1 ## - e2e-az2 ## values: [] ## @param run.affinity Affinity for Run pods assignment ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity ## NOTE: `run.podAffinityPreset`, `run.podAntiAffinityPreset`, and `run.nodeAffinityPreset` will be ignored when it's set ## affinity: {} ## @param run.nodeSelector Node labels for Run pods assignment ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/assign-pods-nodes/ ## nodeSelector: {} ## @param run.tolerations Tolerations for Run pods assignment ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/ ## tolerations: [] ## @param run.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods ## topologySpreadConstraints: [] ## @param run.priorityClassName Run pods' priorityClassName ## priorityClassName: "" ## @param run.schedulerName Kubernetes pod scheduler registry ## https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/ ## schedulerName: "" ## @param run.updateStrategy.type Run statefulset strategy type ## @param run.updateStrategy.rollingUpdate Run statefulset rolling update configuration parameters ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies ## updateStrategy: type: RollingUpdate rollingUpdate: {} ## @param run.extraVolumes Optionally specify extra list of additional volumes for the Run pod(s) ## extraVolumes: [] ## @param run.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Run container(s) ## extraVolumeMounts: [] ## @param run.sidecars Add additional sidecar containers to the Run pod(s) ## e.g: ## sidecars: ## - name: your-image-name ## image: your-image ## imagePullPolicy: Always ## ports: ## - name: portname ## containerPort: 1234 ## sidecars: [] ## @param run.enableDefaultInitContainers Deploy default init containers ## enableDefaultInitContainers: true ## @param run.initContainers Add additional init containers to the Run pod(s) ## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/ ## e.g: ## initContainers: ## - name: your-image-name ## image: your-image ## imagePullPolicy: Always ## command: ['sh', '-c', 'echo "hello world"'] ## initContainers: [] ## Network Policy configuration ## ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/ ## networkPolicy: ## @param run.networkPolicy.enabled Enable creation of NetworkPolicy resources ## enabled: true ## @param run.networkPolicy.allowExternal The Policy model to apply ## When set to false, only pods with the correct client label will have network access to the ports MLFlow is ## listening on. When true, MLFlow will accept connections from any source (with the correct destination port). ## allowExternal: true ## @param run.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations. ## allowExternalEgress: true ## @param run.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy ## e.g: ## extraIngress: ## - ports: ## - port: 1234 ## from: ## - podSelector: ## - matchLabels: ## - role: frontend ## - podSelector: ## - matchExpressions: ## - key: role ## operator: In ## values: ## - frontend ## extraIngress: [] ## @param run.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy ## e.g: ## extraEgress: ## - ports: ## - port: 1234 ## to: ## - podSelector: ## - matchLabels: ## - role: frontend ## - podSelector: ## - matchExpressions: ## - key: role ## operator: In ## values: ## - frontend ## extraEgress: [] ## @param run.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces ## @param run.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces ## ingressNSMatchLabels: {} ingressNSPodMatchLabels: {} ## Source code parameters ## source: ## @param run.source.type Where the source comes from: Possible values: configmap, git, custom ## type: "configmap" ## @param run.source.launchCommand deepspeed command to run over the project ## launchCommand: "" ## @param run.source.configMap List of files of the project ## configMap: {} ## @param run.source.existingConfigMap Name of a configmap containing the files of the project ## existingConfigMap: "" git: ## @param run.source.git.repository Repository that holds the files ## repository: "" ## @param run.source.git.revision Revision from the repository to checkout ## revision: "" ## @param run.source.git.extraVolumeMounts Add extra volume mounts for the Git container ## Useful to mount keys to connect through ssh. (normally used with extraVolumes) ## E.g: ## extraVolumeMounts: ## - name: ssh-dir ## mountPath: /.ssh/ ## extraVolumeMounts: [] ## Service account for Run to use ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/ ## serviceAccount: ## @param run.serviceAccount.create Enable creation of ServiceAccount for Run pods ## create: true ## @param run.serviceAccount.name The name of the ServiceAccount to use ## If not set and create is true, a name is generated using the common.names.fullname template ## name: "" ## @param run.serviceAccount.automountServiceAccountToken Allows auto mount of ServiceAccountToken on the serviceAccount created ## Can be set to false if pods using this serviceAccount do not need to use K8s API ## automountServiceAccountToken: false ## @param run.serviceAccount.annotations Additional custom annotations for the ServiceAccount ## annotations: {} ## @section Mlflow Run persistence paramaters ## Enable persistence using Persistent Volume Claims ## ref: https://kubernetes.io/docs/concepts/storage/persistent-volumes/ ## persistence: ## @param run.persistence.enabled Use a PVC to persist data ## enabled: false ## @param run.persistence.storageClass discourse & sidekiq data Persistent Volume Storage Class ## If defined, storageClassName: ## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## storageClass: "" ## @param run.persistence.existingClaim Use a existing PVC which must be created manually before bound ## existingClaim: "" ## @param run.persistence.mountPath Path to mount the volume at ## mountPath: /bitnami/mlflow/data ## @param run.persistence.subPath subPath to use for mounting the volume ## subPath: "" ## @param run.persistence.accessModes Persistent Volume Access Mode ## accessModes: - ReadWriteOnce ## @param run.persistence.dataSource Custom PVC data source ## dataSource: {} ## @param run.persistence.selector Selector to match an existing Persistent Volume for the run data PVC ## If set, the PVC can't have a PV dynamically provisioned for it ## E.g. ## selector: ## matchLabels: ## app: my-app ## selector: {} ## @param run.persistence.size Size of data volume ## size: 8Gi ## @param run.persistence.labels Persistent Volume labels ## labels: {} ## @param run.persistence.annotations Persistent Volume annotations ## annotations: {} ## @section Init Container Parameters ## ## 'volumePermissions' init container parameters ## Changes the owner and group of the persistent volume mount point to runAsUser:fsGroup values ## based on the *podSecurityContext/*containerSecurityContext parameters ## volumePermissions: ## @param volumePermissions.enabled Enable init container that changes the owner/group of the PV mount point to `runAsUser:fsGroup` ## enabled: false ## OS Shell + Utility image ## ref: https://hub.docker.com/r/bitnami/os-shell/tags/ ## @param volumePermissions.image.registry [default: REGISTRY_NAME] OS Shell + Utility image registry ## @param volumePermissions.image.repository [default: REPOSITORY_NAME/os-shell] OS Shell + Utility image repository ## @skip volumePermissions.image.tag OS Shell + Utility image tag (immutable tags are recommended) ## @param volumePermissions.image.pullPolicy OS Shell + Utility image pull policy ## @param volumePermissions.image.pullSecrets OS Shell + Utility image pull secrets ## image: registry: docker.io repository: bitnami/os-shell tag: 12-debian-12-r32 pullPolicy: IfNotPresent ## Optionally specify an array of imagePullSecrets. ## Secrets must be manually created in the namespace. ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## e.g: ## pullSecrets: ## - myRegistryKeySecretName ## pullSecrets: [] ## Init container's resource requests and limits ## ref: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/ ## @param volumePermissions.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if volumePermissions.resources is set (volumePermissions.resources is recommended for production). ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15 ## resourcesPreset: "nano" ## @param volumePermissions.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads) ## Example: ## resources: ## requests: ## cpu: 2 ## memory: 512Mi ## limits: ## cpu: 3 ## memory: 1024Mi ## resources: {} ## Init container Container Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container ## @param volumePermissions.containerSecurityContext.enabled Set container security context settings ## @param volumePermissions.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container ## @param volumePermissions.containerSecurityContext.runAsUser Set init container's Security Context runAsUser ## NOTE: when runAsUser is set to special value "auto", init container will try to chown the ## data folder to auto-determined user&group, using commands: `id -u`:`id -G | cut -d" " -f2` ## "auto" is especially useful for OpenShift which has scc with dynamic user ids (and 0 is not allowed) ## containerSecurityContext: enabled: true seLinuxOptions: {} runAsUser: 0 waitContainer: ## @param waitContainer.image.registry [default: REGISTRY_NAME] Init container wait-container image registry ## @param waitContainer.image.repository [default: REPOSITORY_NAME/os-shell] Init container wait-container image name ## @skip waitContainer.image.tag Init container wait-container image tag ## @param waitContainer.image.digest Init container wait-container image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag ## image: registry: docker.io repository: bitnamilegacy/os-shell tag: 12-debian-12-r32 digest: "" ## @param waitContainer.image.pullPolicy Init container wait-container image pull policy ## pullPolicy: IfNotPresent ## @param waitContainer.image.pullSecrets [array] Specify docker-registry secret names as an array ## Optionally specify an array of imagePullSecrets. ## Secrets must be manually created in the namespace. ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## e.g: ## pullSecrets: ## - myRegistryKeySecretName ## pullSecrets: [] ## Configure Container Security Context ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container ## @param waitContainer.containerSecurityContext.enabled Enabled containers' Security Context ## @param waitContainer.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container ## @param waitContainer.containerSecurityContext.runAsUser Set containers' Security Context runAsUser ## @param waitContainer.containerSecurityContext.runAsGroup Set containers' Security Context runAsGroup ## @param waitContainer.containerSecurityContext.runAsNonRoot Set containers' Security Context runAsNonRoot ## @param waitContainer.containerSecurityContext.privileged Set containers' Security Context privileged ## @param waitContainer.containerSecurityContext.readOnlyRootFilesystem Set containers' Security Context runAsNonRoot ## @param waitContainer.containerSecurityContext.allowPrivilegeEscalation Set container's privilege escalation ## @param waitContainer.containerSecurityContext.capabilities.drop Set container's Security Context runAsNonRoot ## @param waitContainer.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile ## containerSecurityContext: enabled: true seLinuxOptions: {} runAsUser: 1001 runAsGroup: 1001 runAsNonRoot: true privileged: false readOnlyRootFilesystem: true allowPrivilegeEscalation: false capabilities: drop: ["ALL"] seccompProfile: type: "RuntimeDefault" ## @section PostgreSQL chart configuration ## ref: https://github.com/bitnami/charts/blob/main/bitnami/postgresql/values.yaml ## @param postgresql.enabled Switch to enable or disable the PostgreSQL helm chart ## @param postgresql.auth.username Name for a custom user to create ## @param postgresql.auth.password Password for the custom user to create ## @param postgresql.auth.database Name for a custom database to create ## @param postgresql.auth.existingSecret Name of existing secret to use for PostgreSQL credentials ## @param postgresql.architecture PostgreSQL architecture (`standalone` or `replication`) ## @param postgresql.primary.service.ports.postgresql PostgreSQL service port ## postgresql: enabled: true auth: username: bn_mlflow password: "" database: bitnami_mlflow existingSecret: "" architecture: standalone primary: service: ports: postgresql: 5432 ## @param postgresql.primary.initdb.scripts [object] Map with init scripts for the PostgreSQL database initdb: scripts: # For authentication, Mlflow requires a different database in order to work create_auth_db.sh: | #!/bin/bash PGPASSWORD=$POSTGRES_POSTGRES_PASSWORD psql -U postgres <<< "CREATE DATABASE {{ include "mlflow.v0.database-auth.name" . }}" PGPASSWORD=$POSTGRES_POSTGRES_PASSWORD psql -U postgres <<< "GRANT ALL PRIVILEGES ON DATABASE {{ include "mlflow.v0.database-auth.name" . }} to {{ .Values.auth.username }}" PGPASSWORD=$POSTGRES_POSTGRES_PASSWORD psql -U postgres <<< "ALTER DATABASE {{ include "mlflow.v0.database-auth.name" . }} OWNER TO {{ .Values.auth.username }}" ## @section External PostgreSQL configuration ## All of these values are only used when postgresql.enabled is set to false ## @param externalDatabase.dialectDriver Database Dialect(+Driver) ## @param externalDatabase.host Database host ## @param externalDatabase.port Database port number ## @param externalDatabase.user Non-root username ## @param externalDatabase.password Password for the non-root username ## @param externalDatabase.database Database name ## @param externalDatabase.authDatabase Database name for the auth module (only if tracking.auth.enabled=true) ## @param externalDatabase.existingSecret Name of an existing secret resource containing the database credentials ## @param externalDatabase.existingSecretPasswordKey Name of an existing secret key containing the database credentials ## externalDatabase: dialectDriver: "postgresql" host: "" port: 5432 user: postgres database: mlflow authDatabase: mlflow_auth password: "" existingSecret: "" existingSecretPasswordKey: "db-password" ## @section MinIO® chart parameters ## @extra minio For full list of MinIO® values configurations please refere [here](https://github.com/bitnami/charts/tree/main/bitnami/minio) ## minio: ## @param minio.enabled Enable/disable MinIO® chart installation ## to be used as an objstore for Mlflow ## enabled: true ## MinIO® authentication parameters ## auth: ## @param minio.auth.rootUser MinIO® root username ## rootUser: admin ## @param minio.auth.rootPassword Password for MinIO® root user ## rootPassword: "" ## @param minio.auth.existingSecret Name of an existing secret containing the MinIO® credentials ## existingSecret: "" ## @param minio.defaultBuckets Comma, semi-colon or space separated list of MinIO® buckets to create ## defaultBuckets: "mlflow" ## @param minio.provisioning.enabled Enable/disable MinIO® provisioning job ## @param minio.provisioning.extraCommands Extra commands to run on MinIO® provisioning job ## provisioning: enabled: true # We need to allow downloads in order for the UI to work extraCommands: ["mc anonymous set download provisioning/mlflow"] ## @param minio.tls.enabled Enable/disable MinIO® TLS support ## tls: enabled: false ## @param minio.service.type MinIO® service type ## @param minio.service.loadBalancerIP MinIO® service LoadBalancer IP ## @param minio.service.ports.api MinIO® service port ## service: type: ClusterIP loadBalancerIP: "" ports: api: 80 ## @section External S3 parameters ## All of these values are only used when minio.enabled is set to false ## @param externalS3.host External S3 host. When using AWS S3, include appropriate [regional code](https://docs.aws.amazon.com/general/latest/gr/s3.html#s3_region), e.g. "eu-central-1.amazonaws.com ## @param externalS3.port External S3 port number ## @param externalS3.useCredentialsInSecret Whether to use a secret to store the S3 credentials ## @param externalS3.accessKeyID External S3 access key ID ## @param externalS3.accessKeySecret External S3 access key secret ## @param externalS3.existingSecret Name of an existing secret resource containing the S3 credentials ## @param externalS3.existingSecretAccessKeyIDKey Name of an existing secret key containing the S3 access key ID ## @param externalS3.existingSecretKeySecretKey Name of an existing secret key containing the S3 access key secret ## @param externalS3.protocol External S3 protocol ## @param externalS3.bucket External S3 bucket ## @param externalS3.serveArtifacts Whether artifact serving is enabled ## externalS3: host: "" port: 443 useCredentialsInSecret: true accessKeyID: "" accessKeySecret: "" existingSecret: "" existingSecretAccessKeyIDKey: "root-user" existingSecretKeySecretKey: "root-password" protocol: "https" bucket: "mlflow" serveArtifacts: true ## @section External Google Cloud Storage parameters ## All of these values are only used when minio.enabled is set to false and externalS3 is not configured (host is empty) ## @param externalGCS.bucket GCS bucket name. Activate gcs artifact storage if set ## @param externalGCS.googleCloudProject Google Cloud Project to use (optional, needed when using "default application credentials") ## @param externalGCS.useCredentialsInSecret Whether to read the GCS application credentials from a secret ## @param externalGCS.existingSecret Name of an existing secret key containing the application credentials file (required when useCredentialsInSecret is true) ## @param externalGCS.existingSecretKey Key in the existing secret containing the application credentials (required when useCredentialsInSecret is true) ## @param externalGCS.serveArtifacts Whether artifact serving is enabled ## externalGCS: bucket: "" googleCloudProject: "" useCredentialsInSecret: false existingSecret: "" existingSecretKey: "" serveArtifacts: true