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milvus

bitnamicharts/milvus

bitnamicharts

Bitnami为Milvus提供的Helm chart是一款用于在Kubernetes环境中简化开源向量数据库Milvus部署、配置与管理的工具,它集成预配置资源参数、依赖组件及最佳实践,支持快速搭建高可用Milvus服务,满足AI应用中向量搜索、相似度匹配等场景需求,助力用户轻松实现Milvus在容器化环境中的高效运维与扩展。

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Bitnami Secure Images Helm chart for Milvus

Milvus is a cloud-native, open-source vector database solution for AI applications and similarity search. Features high scalability, hybrid search and unified lambda structure.

Overview of Milvus

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

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

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

Introduction

Bitnami charts for Helm are carefully engineered, actively maintained and are the quickest and easiest way to deploy containers on a Kubernetes cluster that are ready to handle production workloads.

This chart bootstraps a https://github.com/grafana/loki Deployment in a https://kubernetes.io cluster using the https://helm.sh 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/milvus

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 milvus 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 https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/.

Prometheus metrics

This chart can be integrated with Prometheus by setting *.metrics.enabled (under the coordinator, dataNode, queryNode, streamingNode and proxy sections) to true. This will expose the Milvus native Prometheus port in both the containers and services. The services will also 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 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 (under the coordinator, dataNode, queryNode, streamingNode and proxy sections). 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.

https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-doc/apps-tutorials-understand-rolling-tags-containers-index.html

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.

Milvus configuration

The Milvus configuration file milvus.yaml is shared across the different components: coordinator, dataNode, queryNode and streamingNode. This is set in the milvus.defaultConfig value. This configuration can be extended with extra settings using the milvus.extraConfig value. For specific component configuration edit the extraConfig section inside each of the previously mentioned components. Check the official Milvus documentation for the list of possible configurations.

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 https://velero.io/, a Kubernetes backup/restore tool. Find the instructions for using Velero in https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-doc/apps-tutorials-backup-restore-deployments-velero-index.html.

Additional 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 inside each of the subsections: rootCoord, dataCoord, indexCoord, dataNode, streamingNode, attu and queryNode.

yaml
dataCoord:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

rootCoord:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

indexCoord:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

dataNode:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

streamingNode:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

queryNode:
  extraEnvVars:
    - name: LOG_LEVEL
      value: error

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

Sidecars

If additional containers are needed in the same pod as milvus (such as additional metrics or logging exporters), they can be defined using the sidecars parameter inside each of the subsections: rootCoord, dataCoord, indexCoord, dataNode, streamingNode, attu and queryNode .

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

If these sidecars export extra ports, extra port definitions can be added using the service.extraPorts parameter (where available), as shown in the example below:

yaml
service:
  extraPorts:
  - name: extraPort
    port: 11311
    targetPort: 11311

NOTE: This Helm chart already includes sidecar containers for the Prometheus exporters (where applicable). These can be activated by adding the --enable-metrics=true parameter at deployment time. The sidecars parameter should therefore only be used for any extra sidecar containers.

If additional init containers are needed in the same pod, they can be defined using the initContainers parameter. Here is an example:

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

Learn more about https://kubernetes.io/docs/concepts/workloads/pods/ and https://kubernetes.io/docs/concepts/workloads/pods/init-containers/.

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, PASSWORD and ROOT_PASSWORD placeholders)
shell
kubectl create secret generic SECRET_NAME --from-literal=password=PASSWORD --from-literal=root-password=ROOT_PASSWORD --dry-run -o yaml | kubectl apply -f -

Pod affinity

This chart allows you to set your custom affinity using the affinity parameter. Find more information about Pod affinity in the https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity.

As an alternative, use one 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 inside each of the subsections: rootCoord, dataCoord, indexCoord, dataNode, streamingNode, attu and queryNode.

External kafka support

You may want to have Milvus connect to an external kafka rather than installing one inside your cluster. Typical reasons for this are to use a managed database service, or to share a common database server for all your applications. To achieve this, the chart allows you to specify credentials for an external database with the externalKafka parameter. You should also disable the etcd installation with the etcd.enabled option. Here is an example:

yaml
kafka:
  enabled: false
externalKafka:
  hosts:
    - externalhost

External etcd support

You may want to have Milvus connect to an external etcd rather than installing one inside your cluster. Typical reasons for this are to use a managed database service, or to share a common database server for all your applications. To achieve this, the chart allows you to specify credentials for an external database with the externalEtcd parameter. You should also disable the etcd installation with the etcd.enabled option. Here is an example:

yaml
etcd:
  enabled: false
externalEtcd:
  hosts:
    - externalhost

External S3 support

You may want to have Milvus connect to an external storage streaming rather than installing MiniIO(TM) inside your cluster. To achieve this, the chart allows you to specify credentials for an external storage streaming with the externalS3 parameter. You should also disable the MinIO(TM) installation with the minio.enabled option. Here is an example:

console
minio.enabled=false
externalS3.host=myexternalhost
externalS3.accessKeyID=accesskey
externalS3.accessKeySecret=secret

Gateway API

This chart provides support for exposing Milvus Attu using the https://gateway-api.sigs.k8s.io/ 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 attu.httpRoute.enabled to true. The Gateway to be used can be customized by setting the attu.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 attu.httpRoute.hostnames parameter. Additionally, you can customize the rules used to route the traffic to the service by modifying the attu.httpRoute.matches and attu.httpRoute.filters parameters or adding new rules using the attu.httpRoute.extraRules parameter.

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 attu.ingress.enabled to true.

The most common scenario is to have one host name mapped to the deployment. In this case, the attu.ingress.hostname property can be used to set the host name. The attu.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 attu.ingress.extraHosts parameter (if available) can be set with the host names specified as an array. The attu.ingress.extraTLS parameter (if available) can also be used to add the TLS configuration for extra hosts.

NOTE: For each host specified in the attu.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.

https://kubernetes.io/docs/concepts/services-networking/ingress-controllers/.

Securing traffic using TLS

This chart facilitates the creation of TLS secrets for use with the Ingress controller (although this is not mandatory). There are several common use cases:

  • Generate certificate secrets based on chart parameters.
  • Enable externally generated certificates.
  • Manage application certificates via an external service (like https://github.com/jetstack/cert-manager/).
  • Create self-signed certificates within the chart (if supported).

In the first two cases, a certificate and a key are needed. Files are expected in .pem format.

Here is an example of a certificate file:

NOTE: There may be more than one certificate if there is a certificate chain.

text
-----BEGIN CERTIFICATE-----
MIID6TCCAtGgAwIBAgIJAIaCwivkeB5EMA0GCSqGSIb3DQEBCwUAMFYxCzAJBgNV
...
jScrvkiBO65F46KioCL9h5tDvomdU1aqpI/CBzhvZn1c0ZTf87tGQR8NK7v7
-----END CERTIFICATE-----

Here is an example of a certificate key:

text
-----BEGIN RSA PRIVATE KEY-----
MIIEogIBAAKCAQEAvLYcyu8f3skuRyUgeeNpeDvYBCDcgq+LsWap6zbX5f8oLqp4
...
wrj2wDbCDCFmfqnSJ+dKI3vFLlEz44sAV8jX/kd4Y6ZTQhlLbYc=
-----END RSA PRIVATE KEY-----
  • If using Helm to manage the certificates based on the parameters, copy these values into the certificate and key values for a given *.ingress.secrets entry.
  • If managing TLS secrets separately, it is necessary to create a TLS secret with name INGRESS_HOSTNAME-tls (where INGRESS_HOSTNAME is a placeholder to be replaced with the hostname you set using the *.ingress.hostname parameter).
  • If your cluster has a https://github.com/jetstack/cert-manager add-on to automate the management and issuance of TLS certificates, add to *.ingress.annotations the https://cert-manager.io/docs/usage/ingress/#supported-annotations for cert-manager.
  • If using self-signed certificates created by Helm, set both *.ingress.tls and *.ingress.selfSigned to true.

Parameters

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

Global parameters

NameDescriptionValue
global.imageRegistryGlobal Docker image registry""
global.imagePullSecretsGlobal Docker registry secret names as an array[]
global.defaultStorageClassGlobal default StorageClass for Persistent Volume(s)""
global.security.allowInsecureImagesAllows skipping image verificationfalse
global.compatibility.openshift.adaptSecurityContextAdapt 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

NameDescriptionValue
kubeVersionOverride Kubernetes version""
apiVersionsOverride Kubernetes API versions reported by .Capabilities[]
nameOverrideString to partially override common.names.fullname""
fullnameOverrideString to fully override common.names.fullname""
commonLabelsLabels to add to all deployed objects{}
commonAnnotationsAnnotations to add to all deployed objects{}
clusterDomainKubernetes cluster domain namecluster.local
extraDeployArray of extra objects to deploy with the release[]
enableServiceLinksWhether information about services should be injected into all pods' environment variablefalse
usePasswordFilesMount credentials as files instead of using environment variablestrue
diagnosticMode.enabledEnable diagnostic mode (all probes will be disabled and the command will be overridden)false
diagnosticMode.commandCommand to override all containers in the deployments/statefulsets["sleep"]
diagnosticMode.argsArgs to override all containers in the deployments/statefulsets["infinity"]

Common Milvus Parameters

NameDescriptionValue
milvus.image.registryMilvus image registryREGISTRY_NAME
milvus.image.repositoryMilvus image repositoryREPOSITORY_NAME/milvus
milvus.image.digestMilvus image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag""
milvus.image.pullPolicyMilvus image pull policyIfNotPresent
milvus.image.pullSecretsMilvus image pull secrets[]
milvus.image.debugEnable debug modefalse
milvus.auth.enabledenable Milvus authenticationfalse
milvus.auth.usernameMilvus usernameuser
milvus.auth.passwordMilvus username password

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 https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-app-doc/apps-charts-milvus-index.html

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您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。

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以下是 bitnamicharts/milvus 相关的常用 Docker 镜像,适用于 不同场景 等不同场景:

  • milvusdb/milvus Docker 镜像说明
  • bitnami/milvus Docker 镜像说明(Milvus 向量数据库,Bitnami 企业级配置)
  • openeuler/milvus Docker 镜像说明(openEuler 场景下的 Milvus 向量数据库镜像,适合信创环境下的向量检索与 AI 应用)
  • semitechnologies/weaviate Docker 镜像说明(向量数据库,适合 AI 应用)
  • qdrant/qdrant Docker 镜像说明(Qdrant 向量数据库,适合 AI 应用和相似度搜索)