charts/bitnami/mlflow

Bitnami package for MLflow

MLflow is an open-source platform designed to manage the end-to-end machine learning lifecycle. It allows you to track experiments, package code into reproducible runs, and share and deploy models.

Overview of MLflow

Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

TL;DR

helm install my-release oci://registry-1.docker.io/bitnamicharts/mlflow

Looking to use MLflow in production? Try VMware Tanzu Application Catalog, the commercial edition of the Bitnami catalog.

⚠️ Important Notice: Upcoming changes to the Bitnami Catalog

Beginning August 28th, 2025, Bitnami will evolve its public catalog to offer a curated set of hardened, security-focused images under the new Bitnami Secure Images initiative. As part of this transition:

• Granting community users access for the first time to security-optimized versions of popular container images.
• Bitnami will begin deprecating support for non-hardened, Debian-based software images in its free tier and will gradually remove non-latest tags from the public catalog. As a result, community users will have access to a reduced number of hardened images. These images are published only under the “latest” tag and are intended for development purposes
• Starting August 28th, over two weeks, all existing container images, including older or versioned tags (e.g., 2.50.0, 10.6), will be migrated from the public catalog (docker.io/bitnami) to the “Bitnami Legacy” repository (docker.io/bitnamilegacy), where they will no longer receive updates.
• For production workloads and long-term support, users are encouraged to adopt Bitnami Secure Images, which include hardened containers, smaller attack surfaces, CVE transparency (via VEX/KEV), SBOMs, and enterprise support.

These changes aim to improve the security posture of all Bitnami users by promoting best practices for software supply chain integrity and up-to-date deployments. For more details, visit the Bitnami Secure Images announcement.

Introduction

This chart bootstraps a MLflow deployment on a Kubernetes cluster using the Helm package manager.

Python is built for full integration into Python that enables you to use it with its libraries and main packages.

Prerequisites

• Kubernetes 1.19+
• Helm 3.2.0+
• PV provisioner support in the underlying infrastructure
• ReadWriteMany volumes for deployment scaling

Installing the Chart

To install the chart with the release name my-release:

helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/mlflow

Note: You need to substitute the placeholders REGISTRY_NAME and REPOSITORY_NAME with a reference to your Helm chart registry and repository. For example, in the case of Bitnami, you need to use REGISTRY_NAME=registry-1.docker.io and REPOSITORY_NAME=bitnamicharts.

The command deploys mlflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation.

Tip

: List all releases using helm list

Configuration and installation details

Resource requests and limits

Bitnami charts allow setting resource requests and limits for all containers inside the chart deployment. These are inside the resources value (check parameter table). Setting requests is essential for production workloads and these should be adapted to your specific use case.

To make this process easier, the chart contains the resourcesPreset values, which automatically sets the resources section according to different presets. Check these presets in the bitnami/common chart. However, in production workloads using resourcesPreset is discouraged as it may not fully adapt to your specific needs. Find more information on container resource management in the official Kubernetes documentation.

Prometheus metrics

This chart can be integrated with Prometheus by setting tracking.metrics.enabled to true. This will expose MLFlow native Prometheus endpoint in the service. It will have the necessary annotations to be automatically scraped by Prometheus.

Prometheus requirements

It is necessary to have a working installation of Prometheus or Prometheus Operator for the integration to work. Install the Bitnami Prometheus helm chart or the Bitnami Kube Prometheus helm chart to easily have a working Prometheus in your cluster.

Integration with Prometheus Operator

The chart can deploy ServiceMonitor objects for integration with Prometheus Operator installations. To do so, set the value tracking.metrics.serviceMonitor.enabled=true. Ensure that the Prometheus Operator CustomResourceDefinitions are installed in the cluster or it will fail with the following error:

no matches for kind "ServiceMonitor" in version "monitoring.coreos.com/v1"

Install the Bitnami Kube Prometheus helm chart for having the necessary CRDs and the Prometheus Operator.

Securing traffic using TLS

MLflow can encrypt communications by setting tracking.tls.enabled=true. The chart allows two configuration options:

• Provide your own secret using the tracking.tls.certificatesSecret value. Also set the correct name of the certificate files using the tracking.tls.certFilename, tracking.tls.certKeyFilename and tracking.tls.certCAFilename values.
• Have the chart auto-generate the certificates using tracking.tls.autoGenerated=true.

Backup and restore

To back up and restore Helm chart deployments on Kubernetes, you need to back up the persistent volumes from the source deployment and attach them to a new deployment using Velero, a Kubernetes backup/restore tool. Find the instructions for using Velero in this guide.

Parameters

Global parameters

Name	Description	Value
global.imageRegistry	Global Docker image registry	""
global.imagePullSecrets	Global Docker registry secret names as an array	[]
global.defaultStorageClass	Global default StorageClass for Persistent Volume(s)	""
global.security.allowInsecureImages	Allows skipping image verification	false
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)	auto

Common parameters

Name	Description	Value
kubeVersion	Override Kubernetes version	""
apiVersions	Override Kubernetes API versions reported by .Capabilities	[]
nameOverride	String to partially override common.names.name	""
fullnameOverride	String to fully override common.names.fullname	""
namespaceOverride	String to fully override common.names.namespace	""
commonLabels	Labels to add to all deployed objects	{}
commonAnnotations	Annotations to add to all deployed objects	{}
clusterDomain	Kubernetes cluster domain name	cluster.local
extraDeploy	Array of extra objects to deploy with the release	[]
diagnosticMode.enabled	Enable diagnostic mode (all probes will be disabled and the command will be overridden)	false
diagnosticMode.command	Command to override all containers in the deployment	["sleep"]
diagnosticMode.args	Args to override all containers in the deployment	["infinity"]

MLflow common Parameters

Name	Description	Value
image.registry	mlflow image registry	REGISTRY_NAME
image.repository	mlflow image repository	REPOSITORY_NAME/mlflow
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)	""
image.pullPolicy	mlflow image pull policy	IfNotPresent
image.pullSecrets	mlflow image pull secrets	[]
image.debug	Enable mlflow image debug mode	false
gitImage.registry	Git image registry	REGISTRY_NAME
gitImage.repository	Git image repository	REPOSITORY_NAME/git
gitImage.digest	Git image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag	""
gitImage.pullPolicy	Git image pull policy	IfNotPresent
gitImage.pullSecrets	Specify docker-registry secret names as an array	[]

MLflow Tracking parameters

Name	Description	Value
tracking.enabled	Enable Tracking server	true
tracking.replicaCount	Number of mlflow replicas to deploy	1
tracking.host	mlflow tracking listening host. Set to "[::]" to use ipv6.	0.0.0.0
tracking.containerPorts.http	mlflow HTTP container port	5000
tracking.livenessProbe.enabled	Enable livenessProbe on mlflow containers	true
tracking.livenessProbe.initialDelaySeconds	Initial delay seconds for livenessProbe	5
tracking.livenessProbe.periodSeconds	Period seconds for livenessProbe	10
tracking.livenessProbe.timeoutSeconds	Timeout seconds for livenessProbe	5
tracking.livenessProbe.failureThreshold	Failure threshold for livenessProbe	5
tracking.livenessProbe.successThreshold	Success threshold for livenessProbe	1
tracking.readinessProbe.enabled	Enable readinessProbe on mlflow containers	true
tracking.readinessProbe.initialDelaySeconds	Initial delay seconds for readinessProbe	5
tracking.readinessProbe.periodSeconds	Period seconds for readinessProbe	10
tracking.readinessProbe.timeoutSeconds	Timeout seconds for readinessProbe	5
tracking.readinessProbe.failureThreshold	Failure threshold for readinessProbe	5
tracking.readinessProbe.successThreshold	Success threshold for readinessProbe	1
tracking.startupProbe.enabled	Enable startupProbe on mlflow containers	false
tracking.startupProbe.initialDelaySeconds	Initial delay seconds for startupProbe	5
tracking.startupProbe.periodSeconds	Period seconds for startupProbe	10
tracking.startupProbe.timeoutSeconds	Timeout seconds for startupProbe	5
tracking.startupProbe.failureThreshold	Failure threshold for startupProbe	5
tracking.startupProbe.successThreshold	Success threshold for startupProbe	1
tracking.customLivenessProbe	Custom livenessProbe that overrides the default one	{}
tracking.customReadinessProbe	Custom readinessProbe that overrides the default one	{}
tracking.customStartupProbe	Custom startupProbe that overrides the default one	{}
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).	medium
tracking.resources	Set container requests and limits for different resources like CPU or memory (essential for production workloads)	{}
tracking.podSecurityContext.enabled	Enabled mlflow pods' Security Context	true
tracking.podSecurityContext.fsGroupChangePolicy	Set filesystem group change policy	Always
tracking.podSecurityContext.sysctls	Set kernel settings using the sysctl interface	[]
tracking.podSecurityContext.supplementalGroups	Set filesystem extra groups	[]
tracking.podSecurityContext.fsGroup	Set mlflow pod's Security Context fsGroup	1001
tracking.containerSecurityContext.enabled	Enabled containers' Security Context	true
tracking.containerSecurityContext.seLinuxOptions	Set SELinux options in container	{}
tracking.containerSecurityContext.runAsUser	Set containers' Security Context runAsUser	1001
tracking.containerSecurityContext.runAsGroup	Set containers' Security Context runAsGroup	1001
tracking.containerSecurityContext.privileged	Set containers' Security Context privileged	false
tracking.containerSecurityContext.runAsNonRoot	Set containers' Security Context runAsNonRoot	true
tracking.containerSecurityContext.readOnlyRootFilesystem	Set containers' Security Context readOnlyRootFilesystem	true
tracking.containerSecurityContext.allowPrivilegeEscalation	Set container's privilege escalation	false
tracking.containerSecurityContext.capabilities.drop	Set container's Security Context runAsNonRoot	["ALL"]
tracking.containerSecurityContext.seccompProfile.type	Set container's Security Context seccomp profile	RuntimeDefault
tracking.auth.enabled	Enable basic authentication	true
tracking.auth.username	Admin username	user
tracking.auth.password	Admin password	""
tracking.auth.flaskServerSecretKey	Flask server secret key (required for enabling CSRF protection)	""
tracking.auth.existingSecret	Name of a secret containing the admin password	""
tracking.auth.existingSecretUserKey	Key inside the secret containing the admin password	""
tracking.auth.existingSecretPasswordKey	Key inside the secret containing the admin password	""
tracking.auth.existingSecretFlaskServerSecretKey	Key inside the secret containing the flask server secret key	""
tracking.auth.extraOverrides	Add extra settings to the basic_auth.ini file	{}
tracking.auth.overridesConfigMap	Name of a ConfigMap containing overrides to the basic_auth.ini file	""
tracking.tls.enabled	Enable TLS traffic support	false
tracking.tls.autoGenerated	Generate automatically self-signed TLS certificates	false
tracking.tls.certificatesSecret	Name of an existing secret that contains the certificates	""
tracking.tls.certFilename	Certificate filename	""
tracking.tls.certKeyFilename	Certificate key filename	""
tracking.tls.certCAFilename	CA Certificate filename	""
tracking.command	Override default container command (useful when using custom images)	[]
tracking.args	Override default container args (useful when using custom images)	[]
tracking.extraArgs	Add extra arguments together with the default ones	[]
tracking.runUpgradeDB	Add an init container to run mlflow db upgrade	false
tracking.automountServiceAccountToken	Mount Service Account token in pod	false
tracking.hostAliases	mlflow pods host aliases	[]
tracking.podLabels	Extra labels for mlflow pods	{}
tracking.podAnnotations	Annotations for mlflow pods	{}
tracking.podAffinityPreset	Pod affinity preset. Ignored if .affinity is set. Allowed values: soft or hard	""
tracking.podAntiAffinityPreset	Pod anti-affinity preset. Ignored if .affinity is set. Allowed values: soft or hard	soft
tracking.pdb.create	Enable/disable a Pod Disruption Budget creation	true
tracking.pdb.minAvailable	Minimum number/percentage of pods that should remain scheduled	""
tracking.pdb.maxUnavailable	Maximum number/percentage of pods that may be made unavailable	""
tracking.autoscaling.hpa.enabled	Enable HPA	false
tracking.autoscaling.hpa.minReplicas	Minimum number of replicas	""
tracking.autoscaling.hpa.maxReplicas	Maximum number of replicas	""
tracking.autoscaling.hpa.targetCPU	Target CPU utilization percentage	""
tracking.autoscaling.hpa.targetMemory	Target Memory utilization percentage	""
tracking.autoscaling.vpa.enabled	Enable VPA	false
tracking.autoscaling.vpa.annotations	Annotations for VPA resource	{}
tracking.autoscaling.vpa.controlledResources	VPA List of resources that the vertical pod autoscaler can control. Defaults to cpu and memory	[]
tracking.autoscaling.vpa.maxAllowed	VPA Max allowed resources for the pod	{}
tracking.autoscaling.vpa.minAllowed	VPA Min allowed resources for the pod	{}
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	Auto
tracking.nodeAffinityPreset.type	Node affinity preset type. Ignored if .affinity is set. Allowed values: soft or hard	""
tracking.nodeAffinityPreset.key	Node label key to match. Ignored if .affinity is set	""
tracking.nodeAffinityPreset.values	Node label values to match. Ignored if .affinity is set	[]
tracking.affinity	Affinity for mlflow pods assignment	{}
tracking.nodeSelector	Node labels for mlflow pods assignment	{}
tracking.tolerations	Tolerations for mlflow pods assignment	[]
tracking.updateStrategy.type	mlflow statefulset strategy type	RollingUpdate
tracking.priorityClassName	mlflow pods' priorityClassName	""
tracking.topologySpreadConstraints	Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template	[]
tracking.schedulerName	Name of the k8s scheduler (other than default) for mlflow pods	""
tracking.terminationGracePeriodSeconds	Seconds Redmine pod needs to terminate gracefully	""
tracking.lifecycleHooks	for the mlflow container(s) to automate configuration before or after startup	{}
tracking.extraEnvVars	Array with extra environment variables to add to mlflow nodes	[]
tracking.extraEnvVarsCM	Name of existing ConfigMap containing extra env vars for mlflow nodes	""
tracking.extraEnvVarsSecret	Name of existing Secret containing extra env vars for mlflow nodes	""
tracking.extraVolumes	Optionally specify extra list of additional volumes for the mlflow pod(s)	[]
tracking.extraVolumeMounts	Optionally specify extra list of additional volumeMounts for the mlflow container(s)	[]
tracking.sidecars	Add additional sidecar containers to the mlflow pod(s)	[]
tracking.enableDefaultInitContainers	Add default init containers to the deployment	true
tracking.initContainers	Add additional init containers to the mlflow pod(s)	[]

MLflow Tracking Traffic Exposure Parameters

Name	Description	Value
tracking.service.type	mlflow service type	LoadBalancer
tracking.service.ports.http	mlflow service HTTP port	80
tracking.service.ports.https	mlflow service HTTPS port	443
tracking.service.nodePorts.http	Node port for HTTP	""
tracking.service.nodePorts.https	Node port for HTTPS	""
tracking.service.clusterIP	mlflow service Cluster IP	""
tracking.service.loadBalancerIP	mlflow service Load Balancer IP	""
tracking.service.loadBalancerSourceRanges	mlflow service Load Balancer sources	[]
tracking.service.labels	Add labels to the service object	{}
tracking.service.externalTrafficPolicy	mlflow service external traffic policy	Cluster
tracking.service.annotations	Additional custom annotations for mlflow service	{}
tracking.service.extraPorts	Extra ports to expose in mlflow service (normally used with the sidecars value)	[]
tracking.service.sessionAffinity	Control where client requests go, to the same pod or round-robin	None
tracking.service.sessionAffinityConfig	Additional settings for the sessionAffinity	{}
tracking.ingress.enabled	Enable ingress record generation for mlflow	false
tracking.ingress.pathType	Ingress path type	ImplementationSpecific
tracking.ingress.hostname	Default host for the ingress record	mlflow.local
tracking.ingress.ingressClassName	IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+)	""
tracking.ingress.path	Default path for the ingress record	/
tracking.ingress.annotations	Additional annotations for the Ingress resource. To enable certificate autogeneration, place here your cert-manager annotations.	{}
tracking.ingress.tls	Enable TLS configuration for the host defined at ingress.hostname parameter	false
tracking.ingress.selfSigned	Create a TLS secret for this ingress record using self-signed certificates generated by Helm	false
tracking.ingress.extraHosts	An array with additional hostname(s) to be covered with the ingress record	[]
tracking.ingress.extraPaths	An array with additional arbitrary paths that may need to be added to the ingress under the main host	[]
tracking.ingress.extraTls	TLS configuration for additional hostname(s) to be covered with this ingress record	[]
tracking.ingress.secrets	Custom TLS certificates as secrets	[]
tracking.ingress.extraRules	Additional rules to be covered with this ingress record	[]
tracking.networkPolicy.enabled	Enable creation of NetworkPolicy resources	true
tracking.networkPolicy.allowExternal	The Policy model to apply	true
tracking.networkPolicy.allowExternalEgress	Allow the pod to access any range of port and all destinations.	true
tracking.networkPolicy.extraIngress	Add extra ingress rules to the NetworkPolicy	[]
tracking.networkPolicy.extraEgress	Add extra ingress rules to the NetworkPolicy	[]
tracking.networkPolicy.ingressNSMatchLabels	Labels to match to allow traffic from other namespaces	{}
tracking.networkPolicy.ingressNSPodMatchLabels	Pod labels to match to allow traffic from other namespaces	{}

MLflow Tracking Persistence Parameters

Name	Description	Value
tracking.persistence.enabled	Enable persistence using Persistent Volume Claims	true
tracking.persistence.mountPath	Path to mount the volume at.	/bitnami/mlflow
tracking.persistence.subPath	The subdirectory of the volume to mount to, useful in dev environments and one PV for multiple services	""
tracking.persistence.storageClass	Storage class of backing PVC	""
tracking.persistence.labels	Persistent Volume labels	{}
tracking.persistence.annotations	Persistent Volume Claim annotations	{}
tracking.persistence.accessModes	Persistent Volume Access Modes	["ReadWriteOnce"]
tracking.persistence.size	Size of data volume	8Gi
tracking.persistence.existingClaim	The name of an existing PVC to use for persistence	""
tracking.persistence.selector	Selector to match an existing Persistent Volume for MLflow data PVC	{}
tracking.persistence.dataSource	Custom PVC data source	{}

MLflow Tracking Other Parameters

Name	Description	Value
tracking.serviceAccount.create	Specifies whether a ServiceAccount should be created	true
tracking.serviceAccount.name	The name of the ServiceAccount to use.	""
tracking.serviceAccount.annotations	Additional Service Account annotations (evaluated as a template)	{}
tracking.serviceAccount.automountServiceAccountToken	Automount service account token for the server service account	false

MLflow Tracking Metrics Parameters

Name	Description	Value
tracking.metrics.enabled	Enable the export of Prometheus metrics	false
tracking.metrics.annotations	Annotations for the tracking service in order to scrape metrics	{}
tracking.metrics.serviceMonitor.enabled	if true, creates a Prometheus Operator ServiceMonitor (also requires metrics.enabled to be true)	false
tracking.metrics.serviceMonitor.namespace	Namespace in which Prometheus is running	""
tracking.metrics.serviceMonitor.annotations	Additional custom annotations for the ServiceMonitor	{}
tracking.metrics.serviceMonitor.labels	Extra labels for the ServiceMonitor	{}
tracking.metrics.serviceMonitor.jobLabel	The name of the label on the target service to use as the job name in Prometheus	""
tracking.metrics.serviceMonitor.honorLabels	honorLabels chooses the metric's labels on collisions with target labels	false
tracking.metrics.serviceMonitor.interval	Interval at which metrics should be scraped.	""
tracking.metrics.serviceMonitor.scrapeTimeout	Timeout after which the scrape is ended	""
tracking.metrics.serviceMonitor.metricRelabelings	Specify additional relabeling of metrics	[]
tracking.metrics.serviceMonitor.relabelings	Specify general relabeling	[]
tracking.metrics.serviceMonitor.selector	Prometheus instance selector labels	{}

MLflow Run Parameters

Name	Description	Value
run.enabled	Enable Run deployment	true
run.useJob	Deploy as job	false
run.backoffLimit	set backoff limit of the job	10
run.restartPolicy	set restart policy of the job	OnFailure
run.extraEnvVars	Array with extra environment variables to add to run nodes	[]
run.extraEnvVarsCM	Name of existing ConfigMap containing extra env vars for run nodes	""
run.extraEnvVarsSecret	Name of existing Secret containing extra env vars for run nodes	""
run.annotations	Annotations for the run deployment	{}
run.command	Override default container command (useful when using custom images)	[]
run.args	Override default container args (useful when using custom images)	[]
run.terminationGracePeriodSeconds	Run termination grace period (in seconds)	""
run.customLivenessProbe	Custom livenessProbe that overrides the default one	{}
run.customReadinessProbe	Custom readinessProbe that overrides the default one	{}
run.customStartupProbe	Custom startupProbe that overrides the default one	{}
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).	small
run.resources	Set container requests and limits for different resources like CPU or memory (essential for production workloads)	{}
run.podSecurityContext.enabled	Enabled Run pods' Security Context	true
run.podSecurityContext.fsGroupChangePolicy	Set filesystem group change policy	Always
run.podSecurityContext.sysctls	Set kernel settings using the sysctl interface	[]
run.podSecurityContext.supplementalGroups	Set filesystem extra groups	[]
run.podSecurityContext.fsGroup	Set Run pod's Security Context fsGroup	1001
run.containerSecurityContext.enabled	Enabled Run containers' Security Context	true
run.containerSecurityContext.seLinuxOptions	Set SELinux options in container	{}
run.containerSecurityContext.runAsUser	Set Run containers' Security Context runAsUser	1001
run.containerSecurityContext.runAsGroup	Set Run containers' Security Context runAsGroup	1001
run.containerSecurityContext.runAsNonRoot	Set Run containers' Security Context runAsNonRoot	true
run.containerSecurityContext.privileged	Set Run containers' Security Context privileged	false
run.containerSecurityContext.readOnlyRootFilesystem	Set Run containers' Security Context runAsNonRoot	true
run.containerSecurityContext.allowPrivilegeEscalation	Set Run container's privilege escalation	false
run.containerSecurityContext.capabilities.drop	Set Run container's Security Context runAsNonRoot	["ALL"]
run.containerSecurityContext.seccompProfile.type	Set Run container's Security Context seccomp profile	RuntimeDefault
run.lifecycleHooks	for the run container(s) to automate configuration before or after startup	{}
run.runtimeClassName	Name of the runtime class to be used by pod(s)	""
run.automountServiceAccountToken	Mount Service Account token in pod	false
run.hostAliases	run pods host aliases	[]
run.labels	Extra labels for the run deployment	{}
run.podLabels	Extra labels for run pods	{}
run.podAnnotations	Annotations for run pods	{}
run.podAffinityPreset	Pod affinity preset. Ignored if run.affinity is set. Allowed values: soft or hard	""
run.podAntiAffinityPreset	Pod anti-affinity preset. Ignored if run.affinity is set. Allowed values: soft or hard	soft
run.nodeAffinityPreset.type	Node affinity preset type. Ignored if run.affinity is set. Allowed values: soft or hard	""
run.nodeAffinityPreset.key	Node label key to match. Ignored if run.affinity is set	""
run.nodeAffinityPreset.values	Node label values to match. Ignored if run.affinity is set	[]
run.affinity	Affinity for Run pods assignment	{}
run.nodeSelector	Node labels for Run pods assignment	{}
run.tolerations	Tolerations for Run pods assignment	[]
run.topologySpreadConstraints	Topology Spread Constraints for pod assignment spread across your cluster among failure-domains	[]
run.priorityClassName	Run pods' priorityClassName	""
run.schedulerName	Kubernetes pod scheduler registry	""
run.updateStrategy.type	Run statefulset strategy type	RollingUpdate
run.updateStrategy.rollingUpdate	Run statefulset rolling update configuration parameters	{}
run.extraVolumes	Optionally specify extra list of additional volumes for the Run pod(s)	[]
run.extraVolumeMounts	Optionally specify extra list of additional volumeMounts for the Run container(s)	[]
run.sidecars	Add additional sidecar containers to the Run pod(s)	[]
run.enableDefaultInitContainers	Deploy default init containers	true
run.initContainers	Add additional init containers to the Run pod(s)	[]
run.networkPolicy.enabled	Enable creation of NetworkPolicy resources	true
run.networkPolicy.allowExternal	The Policy model to apply	true
run.networkPolicy.allowExternalEgress	Allow the pod to access any range of port and all destinations.	true
run.networkPolicy.extraIngress	Add extra ingress rules to the NetworkPolicy	[]
run.networkPolicy.extraEgress	Add extra ingress rules to the NetworkPolicy	[]
run.networkPolicy.ingressNSMatchLabels	Labels to match to allow traffic from other namespaces	{}
run.networkPolicy.ingressNSPodMatchLabels	Pod labels to match to allow traffic from other namespaces	{}
run.source.type	Where the source comes from: Possible values: configmap, git, custom	configmap
run.source.launchCommand	deepspeed command to run over the project	""
run.source.configMap	List of files of the project	{}
run.source.existingConfigMap	Name of a configmap containing the files of the project	""
run.source.git.repository	Repository that holds the files	""
run.source.git.revision	Revision from the repository to checkout	""
run.source.git.extraVolumeMounts	Add extra volume mounts for the Git container	[]
run.serviceAccount.create	Enable creation of ServiceAccount for Run pods	true
run.serviceAccount.name	The name of the ServiceAccount to use	""
run.serviceAccount.automountServiceAccountToken	Allows auto mount of ServiceAccountToken on the serviceAccount created	false
run.serviceAccount.annotations	Additional custom annotations for the ServiceAccount	{}

Mlflow Run persistence paramaters

Name	Description	Value
run.persistence.enabled	Use a PVC to persist data	false
run.persistence.storageClass	discourse & sidekiq data Persistent Volume Storage Class	""
run.persistence.existingClaim	Use a existing PVC which must be created manually before bound	""
run.persistence.mountPath	Path to mount the volume at	/bitnami/mlflow/data
run.persistence.subPath	subPath to use for mounting the volume	""
run.persistence.accessModes	Persistent Volume Access Mode	["ReadWriteOnce"]
run.persistence.dataSource	Custom PVC data source	{}
run.persistence.selector	Selector to match an existing Persistent Volume for the run data PVC	{}
run.persistence.size	Size of data volume	8Gi
run.persistence.labels	Persistent Volume labels	{}
run.persistence.annotations	Persistent Volume annotations	{}

Init Container Parameters

Name	Description	Value
volumePermissions.enabled	Enable init container that changes the owner/group of the PV mount point to runAsUser:fsGroup	false
volumePermissions.image.registry	OS Shell + Utility image registry	REGISTRY_NAME
volumePermissions.image.repository	OS Shell + Utility image repository	REPOSITORY_NAME/os-shell
volumePermissions.image.pullPolicy	OS Shell + Utility image pull policy	IfNotPresent
volumePermissions.image.pullSecrets	OS Shell + Utility image pull secrets	[]
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).	nano
volumePermissions.resources	Set container requests and limits for different resources like CPU or memory (essential for production workloads)	{}
volumePermissions.containerSecurityContext.enabled	Set container security context settings	true
volumePermissions.containerSecurityContext.seLinuxOptions	Set SELinux options in container	{}
volumePermissions.containerSecurityContext.runAsUser	Set init container's Security Context runAsUser	0
waitContainer.image.registry	Init container wait-container image registry	REGISTRY_NAME
waitContainer.image.repository	Init container wait-container image name	REPOSITORY_NAME/os-shell
waitContainer.image.digest	Init container wait-container image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag	""
waitContainer.image.pullPolicy	Init container wait-container image pull policy	IfNotPresent
waitContainer.image.pullSecrets	Specify docker-registry secret names as an array	[]
waitContainer.containerSecurityContext.enabled	Enabled containers' Security Context	true
waitContainer.containerSecurityContext.seLinuxOptions	Set SELinux options in container	{}
waitContainer.containerSecurityContext.runAsUser	Set containers' Security Context runAsUser	1001
waitContainer.containerSecurityContext.runAsGroup	Set containers' Security Context runAsGroup	1001
waitContainer.containerSecurityContext.runAsNonRoot	Set containers' Security Context runAsNonRoot	true
waitContainer.containerSecurityContext.privileged	Set containers' Security Context privileged	false
waitContainer.containerSecurityContext.readOnlyRootFilesystem	Set containers' Security Context runAsNonRoot	true
waitContainer.containerSecurityContext.allowPrivilegeEscalation	Set container's privilege escalation	false
waitContainer.containerSecurityContext.capabilities.drop	Set container's Security Context runAsNonRoot	["ALL"]
waitContainer.containerSecurityContext.seccompProfile.type	Set container's Security Context seccomp profile	RuntimeDefault

PostgreSQL chart configuration

Name	Description	Value
postgresql.enabled	Switch to enable or disable the PostgreSQL helm chart	true
postgresql.auth.username	Name for a custom user to create	bn_mlflow
postgresql.auth.password	Password for the custom user to create	""
postgresql.auth.database	Name for a custom database to create	bitnami_mlflow
postgresql.auth.existingSecret	Name of existing secret to use for PostgreSQL credentials	""
postgresql.architecture	PostgreSQL architecture (standalone or replication)	standalone
postgresql.primary.service.ports.postgresql	PostgreSQL service port	5432
postgresql.primary.initdb.scripts	Map with init scripts for the PostgreSQL database	{}

External PostgreSQL configuration

Name	Description	Value
externalDatabase.dialectDriver	Database Dialect(+Driver)	postgresql
externalDatabase.host	Database host	""
externalDatabase.port	Database port number	5432
externalDatabase.user	Non-root username	postgres
externalDatabase.password	Password for the non-root username	""
externalDatabase.database	Database name	mlflow
externalDatabase.authDatabase	Database name for the auth module (only if tracking.auth.enabled=true)	mlflow_auth
externalDatabase.existingSecret	Name of an existing secret resource containing the database credentials	""
externalDatabase.existingSecretPasswordKey	Name of an existing secret key containing the database credentials	db-password

MinIO® chart parameters

Name	Description	Value
minio	For full list of MinIO® values configurations please refere here
minio.enabled	Enable/disable MinIO® chart installation	true
minio.auth.rootUser	MinIO® root username	admin
minio.auth.rootPassword	Password for MinIO® root user	""
minio.auth.existingSecret	Name of an existing secret containing the MinIO® credentials	""
minio.defaultBuckets	Comma, semi-colon or space separated list of MinIO® buckets to create	mlflow
minio.provisioning.enabled	Enable/disable MinIO® provisioning job	true
minio.provisioning.extraCommands	Extra commands to run on MinIO® provisioning job	["mc anonymous set download provisioning/mlflow"]
minio.tls.enabled	Enable/disable MinIO® TLS support	false
minio.service.type	MinIO® service type	ClusterIP
minio.service.loadBalancerIP	MinIO® service LoadBalancer IP	""
minio.service.ports.api	MinIO® service port	80
minio.console.enabled	Enable MinIO® Console	false

External S3 parameters

Name	Description	Value
externalS3.host	External S3 host. When using AWS S3, include appropriate regional code, e.g. "eu-central-1.amazonaws.com	""
externalS3.port	External S3 port number	443
externalS3.useCredentialsInSecret	Whether to use a secret to store the S3 credentials	true
externalS3.accessKeyID	External S3 access key ID	""
externalS3.accessKeySecret	External S3 access key secret	""
externalS3.existingSecret	Name of an existing secret resource containing the S3 credentials	""
externalS3.existingSecretAccessKeyIDKey	Name of an existing secret key containing the S3 access key ID	root-user
externalS3.existingSecretKeySecretKey	Name of an existing secret key containing the S3 access key secret	root-password
externalS3.protocol	External S3 protocol	https
externalS3.bucket	External S3 bucket	mlflow
externalS3.serveArtifacts	Whether artifact serving is enabled	true

External Google Cloud Storage parameters

Name	Description	Value
externalGCS.bucket	GCS bucket name. Activate gcs artifact storage if set	""
externalGCS.googleCloudProject	Google Cloud Project to use (optional, needed when using "default application credentials")	""
externalGCS.useCredentialsInSecret	Whether to read the GCS application credentials from a secret	false
externalGCS.existingSecret	Name of an existing secret key containing the application credentials file (required when useCredentialsInSecret is true)	""
externalGCS.existingSecretKey	Key in the existing secret containing the application credentials (required when useCredentialsInSecret is true)	""
externalGCS.serveArtifacts	Whether artifact serving is enabled	true

External Azure Blob Storage parameters

Name	Description	Value
externalAzureBlob.storageAccount	Azure Blob Storage account name. Activate azure artifact storage if set,	""
externalAzureBlob.accessKey	Azure Blob Storage access key. Optional if connectionString is set	""
externalAzureBlob.connectionString	Azure Blob Storage connection string. Optional if accessKey is set.	""
externalAzureBlob.containerName	Azure Blob Storage container name	mlflow
externalAzureBlob.clientId	Azure Blob Storage client ID	""
externalAzureBlob.tenantId	Azure Blob Storage tenant ID	""
externalAzureBlob.clientSecret	Azure Blob Storage client secret	""
externalAzureBlob.useCredentialsInSecret	Whether to read the Azure Blob Storage credentials from a secret	false
externalAzureBlob.existingSecret	Name of an existing secret key containing the Azure Blob Storage credentials (required when useCredentialsInSecret is true)	""
externalAzureBlob.existingAccessKeyKey	Key in the existing secret containing the Azure Blob Storage access key (required when useCredentialsInSecret is true)	""
externalAzureBlob.existingConnectionStringKey	Key in the existing secret containing the Azure Blob Storage connection string (required when useCredentialsInSecret is true)	""
externalAzureBlob.clientSecretKey	Key in the existing secret containing the Azure Blob Storage client secret (required when useCredentialsInSecret is true)	""
externalAzureBlob.serveArtifacts	Whether artifact serving is enabled	true

The MLflow chart supports three different ways to load your files in the run deployment. In order of priority, they are:

1. Existing config map
2. Add files in the values.yaml
3. Cloning a git repository

This means that if you specify a config map with your files, it won't check the files defined in values.yaml directory nor the git repository.

In order to use an existing config map, set the run.source.existingConfigMap=my-config-map parameter.

To add your files in the values.yaml file, set the run.source.configmap object with the files.

Finally, if you want to clone a git repository you can use those parameters:

run.source.type=git
run.source.git.repository=https://github.com/my-user/my-project
run.source.git.revision=master

Troubleshooting

Find more information about how to deal with common errors related to Bitnami's Helm charts in this troubleshooting guide.

Upgrading

To 4.0.0

This major updates the minio subchart to its newest major, 17.0.0. For more information on this subchart's major, please refer to minio upgrade notes.

To 3.0.0

This major updates the minio subchart to its newest major, 16.0.0. For more information on this subchart's major, please refer to minio upgrade notes.

To 2.3.0

This version introduces image verification for security purposes. To disable it, set global.security.allowInsecureImages to true. More details at GitHub issue.

To 2.0.0

This major updates the PostgreSQL subchart to its newest major, 16.0.0, which uses PostgreSQL 17.x. Follow the official instructions to upgrade to 17.x.

To 1.0.0

This major bump changes the following security defaults:

• resourcesPreset is changed from none to the minimum size working in our test suites (NOTE: resourcesPreset is not meant for production usage, but resources adapted to your use case).
• global.compatibility.openshift.adaptSecurityContext is changed from disabled to auto.

This could potentially break any customization or init scripts used in your deployment. If this is the case, change the default values to the previous ones.

License

Copyright © 2025 Broadcom. The term "Broadcom" refers to Broadcom Inc. and/or its subsidiaries.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.