Files
charts/bitnami/kibana
Pablo Galego 4c867335c5 [bitnami/several] Fix default values and regenerate README (#7024)
* etcd: remove nil values

* external-dns: remove nil values

* fluentd: remove nil values

* ghost: remove nil values

* grafana: remove nil values

* grafana-operator: remove nil values

* grafana-tempo: remove nil values

* haproxy: remove nil values

* harbor: remove nil values

* influxdb: remove nil values

* jasperreports: remove nil values

* jenkins: remove nil values

* joomla: remove nil values

* jupyterhub: remove nil values

* kafka: remove nil values

* keycloak: remove nil values

* kiam: remove nil values

* kibana: remove nil values

* Replace default values of sidecars and initContainers

* Uncomment remaining parameters

* kiam: change allowedHostPaths to array and regenerate readme

* jupyterhub: change extraIngress and extraEgress to array

* influxdb: bump chart's patch version

* Bump charts' patch versions

* kafka: set liveness and readiness probes missing values

* logstash: set liveness and readiness probes missing values

* logstash: bump chart's patch version

* Regenerate READMEs with latest changes from master

* Regenerate READMEs with latest changes from master

* Bump influxdb and harbor charts patch versions

Co-authored-by: Carlos Rodríguez Hernández <carlosrh@vmware.com>
2021-07-27 15:25:54 +02:00
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Kibana

Kibana is an open source, browser based analytics and search dashboard for Elasticsearch.

TL;DR

$ helm repo add bitnami https://charts.bitnami.com/bitnami
$ helm install my-release bitnami/kibana --set elasticsearch.hosts[0]=<Hostname of your ES instance> --set elasticsearch.port=<port of your ES instance>

Introduction

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

Bitnami charts can be used with Kubeapps for deployment and management of Helm Charts in clusters.

Prerequisites

  • Kubernetes 1.12+
  • Helm 3.1.0
  • PV provisioner support in the underlying infrastructure
  • ReadWriteMany volumes for deployment scaling

Installing the Chart

This chart requires a Elasticsearch instance to work. You can use an already existing Elasticsearch instance.

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

$ helm repo add bitnami https://charts.bitnami.com/bitnami
$ helm install my-release \
  --set elasticsearch.hosts[0]=<Hostname of your ES instance> \
  --set elasticsearch.port=<port of your ES instance> \
  bitnami/kibana

These commands deploy kibana 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

Uninstalling the Chart

To uninstall/delete the my-release statefulset:

$ helm delete my-release

The command removes all the Kubernetes components associated with the chart and deletes the release. Use the option --purge to delete all history too.

Parameters

Global parameters

Name Description Value
global.imageRegistry Global Docker image registry ""
global.imagePullSecrets Global Docker registry secret names as an array []
global.storageClass Global StorageClass for Persistent Volume(s) ""

Common parameters

Name Description Value
kubeVersion Force target Kubernetes version (using Helm capabilities if not set) ""
nameOverride String to partially override common.names.fullname template with a string (will prepend the release name) ""
fullnameOverride String to fully override common.names.fullname template with a string ""

Kibana parameters

Name Description Value
image.registry Kibana image registry docker.io
image.repository Kibana image repository bitnami/kibana
image.tag Kibana image tag (immutable tags are recommended) 7.13.4-debian-10-r0
image.pullPolicy Kibana image pull policy IfNotPresent
image.pullSecrets Specify docker-registry secret names as an array []
replicaCount Number of replicas of the Kibana Pod 1
updateStrategy.type Set up update strategy for Kibana installation. RollingUpdate
schedulerName Alternative scheduler ""
hostAliases Add deployment host aliases []
plugins Array containing the Kibana plugins to be installed in deployment []
savedObjects.urls Array containing links to NDJSON files to be imported during Kibana initialization []
savedObjects.configmap Configmap containing NDJSON files to be imported during Kibana initialization (evaluated as a template) ""
extraConfiguration Extra settings to be added to the default kibana.yml configmap that the chart creates (unless replaced using configurationCM). Evaluated as a template {}
configurationCM ConfigMap containing a kibana.yml file that will replace the default one specified in configuration.yaml ""
extraEnvVars Array containing extra env vars to configure Kibana []
extraEnvVarsCM ConfigMap containing extra env vars to configure Kibana ""
extraEnvVarsSecret Secret containing extra env vars to configure Kibana (in case of sensitive data) ""
extraVolumes Array to add extra volumes. Requires setting extraVolumeMounts []
extraVolumeMounts Array to add extra mounts. Normally used with extraVolumes []
volumePermissions.enabled Enable init container that changes volume permissions in the data directory (for cases where the default k8s runAsUser and fsUser values do not work) false
volumePermissions.image.registry Init container volume-permissions image registry docker.io
volumePermissions.image.repository Init container volume-permissions image name bitnami/bitnami-shell
volumePermissions.image.tag Init container volume-permissions image tag 10-debian-10-r138
volumePermissions.image.pullPolicy Init container volume-permissions image pull policy Always
volumePermissions.image.pullSecrets Init container volume-permissions image pull secrets []
volumePermissions.resources Volume Permissions resources {}
persistence.enabled Enable persistence true
persistence.storageClass Kibana data Persistent Volume Storage Class ""
persistence.existingClaim Provide an existing PersistentVolumeClaim ""
persistence.accessMode Access mode to the PV ReadWriteOnce
persistence.size Size for the PV 10Gi
livenessProbe.enabled Enable/disable the Liveness probe true
livenessProbe.initialDelaySeconds Delay before liveness probe is initiated 120
livenessProbe.periodSeconds How often to perform the probe 10
livenessProbe.timeoutSeconds When the probe times out 5
livenessProbe.failureThreshold Minimum consecutive failures for the probe to be considered failed after having succeeded. 6
livenessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
readinessProbe.enabled Enable/disable the Readiness probe true
readinessProbe.initialDelaySeconds Delay before readiness probe is initiated 30
readinessProbe.periodSeconds How often to perform the probe 10
readinessProbe.timeoutSeconds When the probe times out 5
readinessProbe.failureThreshold Minimum consecutive failures for the probe to be considered failed after having succeeded. 6
readinessProbe.successThreshold Minimum consecutive successes for the probe to be considered successful after having failed. 1
forceInitScripts Force execution of init scripts false
initScriptsCM Configmap with init scripts to execute ""
initScriptsSecret Secret with init scripts to execute (for sensitive data) ""
service.port Kubernetes Service port 5601
service.type Kubernetes Service type ClusterIP
service.nodePort Specify the nodePort value for the LoadBalancer and NodePort service types ""
service.externalTrafficPolicy Enable client source IP preservation Cluster
service.annotations Annotations for Kibana service (evaluated as a template) {}
service.loadBalancerIP loadBalancerIP if Kibana service type is LoadBalancer ""
service.extraPorts Extra ports to expose in the service (normally used with the sidecar value) []
ingress.enabled Enable ingress controller resource false
ingress.certManager Add annotations for cert-manager false
ingress.pathType Ingress Path type ImplementationSpecific
ingress.apiVersion Override API Version (automatically detected if not set) ""
ingress.hostname Default host for the ingress resource. If specified as "*" no host rule is configured kibana.local
ingress.path The Path to Kibana. You may need to set this to '/*' in order to use this with ALB ingress controllers. ImplementationSpecific
ingress.annotations Ingress annotations {}
ingress.tls Enable TLS configuration for the hostname defined at ingress.hostname parameter false
ingress.extraHosts The list of additional hostnames to be covered with this ingress record. []
ingress.extraPaths Additional arbitrary path/backend objects []
ingress.extraTls The tls configuration for additional hostnames to be covered with this ingress record. []
ingress.secrets If you're providing your own certificates, please use this to add the certificates as secrets []
containerPort Port to expose at container level 5601
securityContext.enabled Enable securityContext on for Kibana deployment true
securityContext.fsGroup Group to configure permissions for volumes 1001
securityContext.runAsUser User for the security context 1001
securityContext.runAsNonRoot Set container's Security Context runAsNonRoot true
resources.limits The resources limits for the container {}
resources.requests The requested resources for the container {}
podAffinityPreset Pod affinity preset. Ignored if affinity is set. Allowed values: soft or hard ""
podAntiAffinityPreset Pod anti-affinity preset. Ignored if affinity is set. Allowed values: soft or hard soft
nodeAffinityPreset.type Node affinity preset type. Ignored if affinity is set. Allowed values: soft or hard ""
nodeAffinityPreset.key Node label key to match Ignored if affinity is set. ""
nodeAffinityPreset.values Node label values to match. Ignored if affinity is set. []
affinity Affinity for pod assignment {}
nodeSelector Node labels for pod assignment {}
tolerations Tolerations for pod assignment []
podAnnotations Pod annotations {}
podLabels Extra labels to add to Pod {}
sidecars Attach additional containers to the pod []
initContainers Add additional init containers to the pod []
configuration Kibana configuration {}
metrics.enabled Start a side-car prometheus exporter false
metrics.service.annotations Prometheus annotations for the Kibana service {}
metrics.serviceMonitor.enabled If true, creates a Prometheus Operator ServiceMonitor (also requires metrics.enabled to be true) false
metrics.serviceMonitor.namespace Namespace in which Prometheus is running ""
metrics.serviceMonitor.interval Interval at which metrics should be scraped. ""
metrics.serviceMonitor.scrapeTimeout Timeout after which the scrape is ended ""
metrics.serviceMonitor.selector Prometheus instance selector labels {}
elasticsearch Properties for Elasticsearch {}

Specify each parameter using the --set key=value[,key=value] argument to helm install. For example,

$ helm install my-release \
  --set admin.user=admin-user bitnami/kibana

The above command sets the Kibana admin user to admin-user.

NOTE: Once this chart is deployed, it is not possible to change the application's access credentials, such as usernames or passwords, using Helm. To change these application credentials after deployment, delete any persistent volumes (PVs) used by the chart and re-deploy it, or use the application's built-in administrative tools if available.

Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,

$ helm install my-release -f values.yaml bitnami/kibana

Tip

: You can use the default values.yaml

Configuration and installation details

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.

Change Kibana version

To modify the Kibana version used in this chart you can specify a valid image tag using the image.tag parameter. For example, image.tag=X.Y.Z. This approach is also applicable to other images like exporters.

Using custom configuration

The Bitnami Kibana chart supports using custom configuration settings. For example, to mount a custom kibana.yml you can create a ConfigMap like the following:

apiVersion: v1
kind: ConfigMap
metadata:
  name: myconfig
data:
  kibana.yml: |-
    # Raw text of the file

And now you need to pass the ConfigMap name, to the corresponding parameter: configurationCM=myconfig

An alternative is to provide extra configuration settings to the default kibana.yml that the chart deploys. This is done using the extraConfiguration value:

extraConfiguration:
  "server.maxPayloadBytes": 1048576
  "server.pingTimeout": 1500

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.

extraEnvVars:
  - name: ELASTICSEARCH_VERSION
    value: 6

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

Using custom init scripts

For advanced operations, the Bitnami Kibana charts allows using custom init scripts that will be mounted in /docker-entrypoint.init-db. You can use a ConfigMap or a Secret (in case of sensitive data) for mounting these extra scripts. Then use the initScriptsCM and initScriptsSecret values.

elasticsearch.hosts[0]=elasticsearch-host
elasticsearch.port=9200
initScriptsCM=special-scripts
initScriptsSecret=special-scripts-sensitive

Installing plugins

The Bitnami Kibana chart allows you to install a set of plugins at deployment time using the plugins value:

elasticsearch.hosts[0]=elasticsearch-host
elasticsearch.port=9200
plugins[0]=https://github.com/fbaligand/kibana-enhanced-table/releases/download/v1.5.0/enhanced-table-1.5.0_7.3.2.zip

Note

Make sure that the plugin is available for the Kibana version you are deploying

Importing saved objects

If you have visualizations and dashboards (in NDJSON format) that you want to import to Kibana. You can create a ConfigMap that includes them and then install the chart with the savedObjects.configmap value: savedObjects.configmap=my-import

Alternatively, if it is available via URL, you can install the chart as follows: savedObjects.urls[0]=www.my-site.com/import.ndjson

Sidecars and Init Containers

If you have a need for additional containers to run within the same pod as Kibana (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.

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.

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

Add a sample Elasticsearch container as sidecar

This chart requires an Elasticsearch instance to work. For production, you can use an already existing Elasticsearch instance or deploy the Elasticsearch chart with the global.kibanaEnabled=true parameter.

For the purpose of testing, you can use a sidecar Elasticsearch container setting the following parameters during the Kibana chart installation:

elasticsearch.hosts[0]=localhost
elasticsearch.port=9200
sidecars[0].name=elasticsearch
sidecars[0].image=bitnami/elasticsearch:latest
sidecars[0].imagePullPolicy=IfNotPresent
sidecars[0].ports[0].name=http
sidecars[0].ports[0].containerPort=9200

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 bitnami/common chart. To do so, set the podAffinityPreset, podAntiAffinityPreset, or nodeAffinityPreset parameters.

Persistence

The Bitnami Kibana image can persist data. If enabled, the persisted path is /bitnami/kibana by default.

The chart mounts a Persistent Volume at this location. The volume is created using dynamic volume provisioning.

Adding extra volumes

The Bitnami Kibana chart supports mounting extra volumes (either PVCs, secrets or configmaps) by using the extraVolumes and extraVolumeMounts property. This can be combined with advanced operations like adding extra init containers and sidecars.

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.

Troubleshooting

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

Upgrading

To 8.0.0

The Kibana container configuration logic was migrated to bash.

From this version onwards, Kibana container components are now licensed under the Elastic License that is not currently accepted as an Open Source license by the Open Source Initiative (OSI).

Also, from now on, the Helm Chart will include the X-Pack plugin installed by default.

Regular upgrade is compatible from previous versions.

To 6.2.0

This version introduces bitnami/common, a library chart as a dependency. More documentation about this new utility could be found here. Please, make sure that you have updated the chart dependencies before executing any upgrade.

To 6.0.0

On November 13, 2020, Helm v2 support was formally finished, this major version is the result of the required changes applied to the Helm Chart to be able to incorporate the different features added in Helm v3 and to be consistent with the Helm project itself regarding the Helm v2 EOL.

What changes were introduced in this major version?

  • Previous versions of this Helm Chart use apiVersion: v1 (installable by both Helm 2 and 3), this Helm Chart was updated to apiVersion: v2 (installable by Helm 3 only). Here you can find more information about the apiVersion field.
  • The different fields present in the Chart.yaml file has been ordered alphabetically in a homogeneous way for all the Bitnami Helm Charts

Considerations when upgrading to this version

  • If you want to upgrade to this version from a previous one installed with Helm v3, you shouldn't face any issues
  • If you want to upgrade to this version using Helm v2, this scenario is not supported as this version doesn't support Helm v2 anymore
  • If you installed the previous version with Helm v2 and wants to upgrade to this version with Helm v3, please refer to the official Helm documentation about migrating from Helm v2 to v3

Useful links

To 5.0.0

This version does not include Elasticsearch as a bundled dependency. From now on, you should specify an external Elasticsearch instance using the elasticsearch.hosts[] and elasticsearch.port parameters.

To 3.0.0

Helm performs a lookup for the object based on its group (apps), version (v1), and kind (Deployment). Also known as its GroupVersionKind, or GVK. Changing the GVK is considered a compatibility breaker from Kubernetes' point of view, so you cannot "upgrade" those objects to the new GVK in-place. Earlier versions of Helm 3 did not perform the lookup correctly which has since been fixed to match the spec.

In 4dfac075aacf74405e31ae5b27df4369e84eb0b0 the apiVersion of the deployment resources was updated to apps/v1 in tune with the api's deprecated, resulting in compatibility breakage.

This major version signifies this change.

To 2.0.0

This version enabled by default an initContainer that modify some kernel settings to meet the Elasticsearch requirements.

Currently, Elasticsearch requires some changes in the kernel of the host machine to work as expected. If those values are not set in the underlying operating system, the ES containers fail to boot with ERROR messages. More information about these requirements can be found in the links below:

You can disable the initContainer using the elasticsearch.sysctlImage.enabled=false parameter.