* 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>
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 Bitnami’s 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 toapiVersion: v2(installable by Helm 3 only). Here you can find more information about theapiVersionfield. - 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
- https://docs.bitnami.com/tutorials/resolve-helm2-helm3-post-migration-issues/
- https://helm.sh/docs/topics/v2_v3_migration/
- https://helm.sh/blog/migrate-from-helm-v2-to-helm-v3/
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.