bitnamicharts/minio

Bitnami Object Storage based on MinIO®

MinIO® is an object storage server, compatible with Amazon S3 cloud storage service, mainly used for storing unstructured data (such as photos, videos, log files, etc.).

Overview of Bitnami Object Storage based on MinIO®

Disclaimer: All software products, projects and company names are trademark™ or registered® trademarks of their respective holders, and use of them does not imply any affiliation or endorsement. This software is licensed to you subject to one or more open source licenses and VMware provides the software on an AS-IS basis. MinIO® is a registered trademark of the MinIO Inc. in the US and other countries. Bitnami is not affiliated, associated, authorized, endorsed by, or in any way officially connected with MinIO Inc. MinIO® is licensed under GNU AGPL v3.0.

TL;DR

console
helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/minio

Note: You need to substitute the placeholders REGISTRY_NAME and REPOSITORY_NAME with a reference to your Helm chart registry and repository.

Introduction

This chart bootstraps a https://github.com/bitnami/containers/tree/main/bitnami/minio deployment on a Kubernetes cluster using the Helm package manager.

Before you begin

• Kubernetes 1.23+
• Helm 3.8.0+
• PV provisioner support in the underlying infrastructure

Installing the Chart

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

console
helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/minio

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.

These commands deploy MinIO® 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

This section describes credentials, configuration, and other installation options.

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 https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15. 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.

Update credentials

Bitnami charts configure credentials at first boot. Any further change in the secrets or credentials require manual intervention. Follow these instructions:

• Update the user password following the upstream documentation
• Update the password secret with the new values (replace the SECRET_NAME, USER and PASSWORD placeholders)

shell
kubectl create secret generic SECRET_NAME --from-literal=root-user=USER --from-literal=root-password=PASSWORD --dry-run -o yaml | kubectl apply -f -

Prometheus metrics

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

Prometheus exporter

MinIO® exports Prometheus metrics at /minio/v2/metrics/cluster. To allow Prometheus collecting your MinIO® metrics, modify the values.yaml adding the corresponding annotations:

diff
- podAnnotations: {}
+ podAnnotations:
+   prometheus.io/scrape: "true"
+   prometheus.io/path: "/minio/v2/metrics/cluster"
+   prometheus.io/port: "9000"

Find more information about MinIO® metrics at <[***]>

Prometheus requirements

It is necessary to have a working installation of Prometheus or Prometheus Operator for the integration to work. Install the https://github.com/bitnami/charts/tree/main/bitnami/prometheus or the https://github.com/bitnami/charts/tree/main/bitnami/kube-prometheus 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 metrics.serviceMonitor.enabled=true. Ensure that the Prometheus Operator CustomResourceDefinitions are installed in the cluster or it will fail with the following error:

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

Install the https://github.com/bitnami/charts/tree/main/bitnami/kube-prometheus for having the necessary CRDs and the Prometheus Operator.

Rolling VS Immutable tags

It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.

Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.

Distributed mode

By default, this chart provisions a MinIO® server in standalone mode. You can start MinIO® server in distributed mode with the following parameter: mode=distributed

This chart bootstrap MinIO® server in distributed mode with 4 nodes by default. You can change the number of nodes using the statefulset.replicaCount parameter. For instance, you can deploy the chart with 8 nodes using the following parameters:

console
mode=distributed
statefulset.replicaCount=8

You can also bootstrap MinIO® server in distributed mode in several zones, and using multiple drives per node. For instance, you can deploy the chart with 2 nodes per zone on 2 zones, using 2 drives per node:

console
mode=distributed
statefulset.replicaCount=2
statefulset.zones=2
statefulset.drivesPerNode=2

Note: The total number of drives should be greater than 4 to guarantee erasure coding. Please set a combination of nodes, and drives per node that match this condition.

Gateway API

This chart provides support for exposing MinIO® using the Gateway API and its HTTPRoute resource. If you have a Gateway controller installed on your cluster, such as APISIX, Contour, Envoy Gateway, NGINX Gateway Fabric or Kong Ingress Controller you can utilize the Gateway controller to serve your application. To enable Gateway API integration, set httpRoute.enabled to true. The Gateway to be used can be customized by setting the httpRoute.parentRefs parameter. By default, it will reference a Gateway named gateway in the same namespace as the release.

You can specify the list of hostnames to be mapped to the deployment using the httpRoute.hostnames parameter. Additionally, you can customize the rules used to route the traffic to the service by modifying the httpRoute.matches and httpRoute.filters parameters or adding new rules using the httpRoute.extraRules parameter.

This chart also supports creating a BackendTLSPolicy to define the SNI the Gateway should use to connect to the %%CHART_NAME%% backend pods and how the certificate served by these pods should be verified. To do so, set the backendTLSPolicy.enabled parameter to true. Please note it's required to secure traffic using TLS as explained in the Securing traffic using TLS section to be able to use this feature.

Ingress

This chart provides support for Ingress resources. If you have an ingress controller installed on your cluster, such as https://github.com/bitnami/charts/tree/main/bitnami/nginx-ingress-controller or https://github.com/bitnami/charts/tree/main/bitnami/contour you can utilize the ingress controller to serve your application.

To enable Ingress integration, set ingress.enabled to true.

The most common scenario is to have one host name mapped to the deployment. In this case, the ingress.hostname property can be used to set the host name. The ingress.tls parameter can be used to add the TLS configuration for this host.

However, it is also possible to have more than one host. To facilitate this, the ingress.extraHosts parameter (if available) can be set with the host names specified as an array. The ingress.extraTLS parameter (if available) can also be used to add the TLS configuration for extra hosts.

NOTE: For each host specified in the ingress.extraHosts parameter, it is necessary to set a name, path, and any annotations that the Ingress controller should know about. Not all annotations are supported by all Ingress controllers, but https://github.com/kubernetes/ingress-nginx/blob/master/docs/user-guide/nginx-configuration/annotations.md lists the annotations supported by many popular Ingress controllers.

Adding the TLS parameter (where available) will cause the chart to generate HTTPS URLs, and the application will be available on port 443. The actual TLS secrets do not have to be generated by this chart. However, if TLS is enabled, the Ingress record will not work until the TLS secret exists.

Learn more about Ingress controllers.

Securing traffic using TLS

By default, this chart assumes TLS is managed by the Ingress Controller and terminates the TLS connection in the Ingress Controller. This can be done by setting ingress.enabled and ingress.tls parameters to true as explained in the section above. However, it is possible to configure TLS encryption for MinIO® server directly by setting tls.enabled parameter to true.

It is necessary to create a secret containing the TLS certificates and pass it to the chart via the tls.existingCASecret and tls.server.existingSecret parameters. Every secret should contain a tls.crt and tls.key keys including the certificate and key files respectively. For example: create the CA secret with the certificates files:

console
kubectl create secret generic ca-tls-secret --from-file=./tls.crt --from-file=./tls.key

You can manually create the required TLS certificates or relying on the chart auto-generation capabilities. The chart supports two different ways to auto-generate the required certificates:

• Using Helm capabilities. Enable this feature by setting tls.autoGenerated.enabled to true and tls.autoGenerated.engine to helm.
• Relying on CertManager (please note it's required to have CertManager installed in your K8s cluster). Enable this feature by setting tls.autoGenerated.enabled to true and tls.autoGenerated.engine to cert-manager. Please note it's supported to use an existing Issuer/ClusterIssuer for issuing the TLS certificates by setting the tls.autoGenerated.certManager.existingIssuer and tls.autoGenerated.certManager.existingIssuerKind parameters.

Adding extra environment variables

In case you want to add extra environment variables (useful for advanced operations like custom init scripts), you can use the extraEnvVars property.

yaml
extraEnvVars:
  - name: MINIO_LOG_LEVEL
    value: DEBUG

Alternatively, you can use a ConfigMap or a Secret with the environment variables. To do so, use the extraEnvVarsCM or the extraEnvVarsSecret values.

Sidecars and Init Containers

If you have a need for additional containers to run within the same pod as the MinIO® app (e.g. an additional metrics or logging exporter), you can do so via the sidecars config parameter. Simply define your container according to the Kubernetes container spec.

yaml
sidecars:
  - name: your-image-name
    image: your-image
    imagePullPolicy: Always
    ports:
      - name: portname
       containerPort: 1234

Similarly, you can add extra init containers using the initContainers parameter.

yaml
initContainers:
  - name: your-image-name
    image: your-image
    imagePullPolicy: Always
    ports:
      - name: portname
        containerPort: 1234

Deploying extra resources

There are cases where you may want to deploy extra objects, such a ConfigMap containing your app's configuration or some extra deployment with a micro service used by your app. For covering this case, the chart allows adding the full specification of other objects using the extraDeploy parameter.

Setting Pod's affinity

This chart allows you to set your custom affinity using the affinity parameter. Find more information about Pod's affinity in the kubernetes documentation.

As an alternative, you can use of the preset configurations for pod affinity, pod anti-affinity, and node affinity available at the https://github.com/bitnami/charts/tree/main/bitnami/common#affinities chart. To do so, set the podAffinityPreset, podAntiAffinityPreset, or nodeAffinityPreset parameters.

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.

FIPS parameters

The FIPS parameters only have effect if you are using images from the Bitnami Secure Images catalog.

For more information on this new support, please refer to the FIPS Compliance section.

Persistence

The https://github.com/bitnami/containers/tree/main/bitnami/minio image stores data at the /bitnami/minio/data path of the container by default. This can be modified with the persistence.mountPath value which modifies the MINIO_DATA_DIR environment variable of the container.

The chart mounts a Persistent Volume at this location so that data within MinIO is persistent. The volume is created using dynamic volume provisioning.

Adjust permissions of persistent volume mountpoint

As the image run as non-root by default, it is necessary to adjust the ownership of the persistent volume so that the container can write data into it.

By default, the chart is configured to use Kubernetes Security Context to automatically change the ownership of the volume. However, this feature does not work in all Kubernetes distributions. As an alternative, this chart supports using an initContainer to change the ownership of the volume before mounting it in the final destination.

You can enable this initContainer by setting volumePermissions.enabled to true.

Parameters

The following subsections list global, common, and component-specific parameters.

Global parameters

Common parameters

MinIO® parameters

_Note: the README for this chart is longer than the DockerHub length limit of 25000, so it has been trimmed. The full README can be found at [***]