Files
charts/bitnami/mlflow/values.yaml
Bitnami Bot cd67157cf8 [bitnami/mlflow] Release 1.3.2 (#26571)
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---------

Signed-off-by: Bitnami Containers <bitnami-bot@vmware.com>
Signed-off-by: Fran Mulero <fmulero@vmware.com>
Co-authored-by: Fran Mulero <fmulero@vmware.com>
2024-06-04 18:47:17 +02:00

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YAML

# 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.storageClass Global StorageClass for Persistent Volume(s)
##
global:
imageRegistry: ""
## E.g.
## imagePullSecrets:
## - myRegistryKeySecretName
##
imagePullSecrets: []
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: bitnami/mlflow
tag: 2.13.1-debian-12-r0
digest: ""
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## 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: bitnami/git
tag: 2.45.1-debian-12-r0
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.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: "small"
## @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 runAsNonRoot
## @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: false
minAvailable: "1"
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: <storageClass>
## 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: <storageClass>
## 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-r22
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: bitnami/os-shell
tag: 12-debian-12-r22
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&reg; chart parameters
## @extra minio For full list of MinIO&reg; values configurations please refere [here](https://github.com/bitnami/charts/tree/main/bitnami/minio)
##
minio:
## @param minio.enabled Enable/disable MinIO&reg; chart installation
## to be used as an objstore for Mlflow
##
enabled: true
## MinIO&reg; authentication parameters
##
auth:
## @param minio.auth.rootUser MinIO&reg; root username
##
rootUser: admin
## @param minio.auth.rootPassword Password for MinIO&reg; root user
##
rootPassword: ""
## @param minio.auth.existingSecret Name of an existing secret containing the MinIO&reg; credentials
##
existingSecret: ""
## @param minio.defaultBuckets Comma, semi-colon or space separated list of MinIO&reg; buckets to create
##
defaultBuckets: "mlflow"
## @param minio.provisioning.enabled Enable/disable MinIO&reg; provisioning job
## @param minio.provisioning.extraCommands Extra commands to run on MinIO&reg; 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&reg; TLS support
##
tls:
enabled: false
## @param minio.service.type MinIO&reg; service type
## @param minio.service.loadBalancerIP MinIO&reg; service LoadBalancer IP
## @param minio.service.ports.api MinIO&reg; 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
## @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