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Follow these instructions to install your Atlassian product using the Helm charts. Before you proceed with the installation, make sure you have followed the Prerequisites guide.

1. Add the Helm chart repository

Add the Helm chart repository to your local Helm installation:

helm repo add atlassian-data-center \

Update the repository:

helm repo update

2. Obtain values.yaml

Obtain the default product values.yaml file from the chart:

helm show values atlassian-data-center/<product> > values.yaml

Bamboo deployments

If deploying Bamboo, be sure to read about the current limitations relating to Bamboo deployments and values.yaml

3. Configure database

Crowd deployments

Crowd Data Center Helm chart does not support unattended installation. Connection to the database must be manually configured during the product setup.

Using the values.yaml file obtained in step 2, configure the usage of the database provisioned as part of the prerequisites.

Automated setup steps

By providing all the required database values, you will bypass the database connectivity configuration during the product setup.


If you are migrating an existing Data Center product to Kubernetes, use the values of your product's database. See Migration guide.

Create a Kubernetes secret to store the connectivity details of the database:

kubectl create secret generic <secret_name> --from-literal=username='<db_username>' --from-literal=password='<db_password>'

Using the Kubernetes secret, update the database stanza within values.yaml appropriately. Refer to the commentary within the values.yaml file for additional details on how to configure the remaining database values:

  type: <db_type>
  url: <jdbc_url>
  driver: <engine_driver>
    secretName: <secret_name>
    usernameSecretKey: username
    passwordSecretKey: password

Database connectivity

For additional information on how the above values should be configured, see the Database connectivity section of the configuration guide.

Read about Kubernetes secrets.

4. Configure Ingress

Using the values.yaml file obtained in step 2, configure the Ingress controller provisioned as part of the Prerequisites. The values you provide here will be used to provision an Ingress resource for the controller. Refer to the associated comments within the values.yaml file for additional details on how to configure the Ingress resource:

  create: true #1. Setting true here will create an Ingress resource
  nginx: true #2. If using the ingress-nginx controller set this property to true
  maxBodySize: 250m
  host: <dns_host_name> #2. Hosts can be precise matches (for example “”) or a wildcard (for example “*”).
  path: "/"
  annotations: <certificate_issuer>
  https: true
  tlsSecretName: <tls_certificate_name>

Ingress configuration

For additional details on Ingress controllers see the Ingress section of the configuration guide.

See an example of how to set up a controller.

5. Configure persistent storage

Using the values.yaml file obtained in step 2, configure the shared-home that was provisioned as part of the Prerequisites. See shared home example.

If you are migrating an existing Data Center product to Kubernetes, use the values of your product's shared home.

        claimName: <pvc_name>

Each pod will also require its own local-home storage. This can be configured with a StorageClass, as can be seen in the local home example. Having created the StorageClass, update values.yaml to make use of it:

      create: true
      storageClassName: <storage-class-name>

Volume configuration

For more details, refer to the Volumes section of the configuration guide.

Bitbucket shared storage

Bitbucket needs a dedicated NFS server providing persistence for a shared home. Prior to installing the Helm chart, a suitable NFS shared storage solution must be provisioned. The exact details of this resource will be highly site-specific, but you can use this example as a guide: Implementation of an NFS Server for Bitbucket.

6. Configure clustering

By default, the Helm charts will not configure the products for Data Center clustering. You can enable clustering in the values.yaml file:

    enabled: true

Bamboo clustering

Because of the limitations outlined under Bamboo and clustering the clustering stanza is not available as a configurable property in the Bamboo values.yaml.

Crowd clustering

Crowd does not offer clustering configuration via Helm Chart. Set crowd.clustering.enabled to true/false in ${CROWD_HOME}/shared/crowd.cfg.xml and rollout restart Crowd StatefulSet after the initial product setup is complete.

7. Configure license

Pre-configuring license

Pre-provisioning a license in this way is only applicable to Confluence, Bitbucket and Bamboo deployments. For Jira and Crowd deployments a license can be supplied via the setup wizard post deployment.

You can configure the product license if you provide a license stanzas within the values.yaml obtained in step 2. To do that, create a Kubernetes secret to hold the product license:

kubectl create secret generic <license_secret_name> --from-literal=license-key='<product_license_key>'

Update the values.yaml file with the secrets:

  secretName: <secret_name>
  secretKey: license-key
Sysadmin credentials for Bitbucket and Bamboo

Bitbucket and Bamboo are slightly different from the other products in that they can be completely configured during deployment, meaning no manual setup is required. To do this, you need to update the sysadminCredentials and also provide the license stanza from the previous step.

Create a Kubernetes secret to hold the Bitbucket/Bamboo system administrator credentials:

kubectl create secret generic <sysadmin_creds_secret_name> --from-literal=username='<sysadmin_username>' --from-literal=password='<sysadmin_password>' --from-literal=displayName='<sysadmin_display_name>' --from-literal=emailAddress='<sysadmin_email>'

Update the values.yaml file with the secrets:

  secretName: <sysadmin_creds_secret_name>
  usernameSecretKey: username
  passwordSecretKey: password
  displayNameSecretKey: displayName
  emailAddressSecretKey: emailAddress

8. Configure container images

By default, container images are pulled from official Atlassian DockerHub repositories. Deployments may also use 2 other official non-Altassian images - alpine and fluentd.

In air-gapped environments that cannot directly access DockerHub you will need to pass custom repositories/tags to the Helm installation/upgrade command.

Product images

For product images (such as Jira, Bitbucket, Confluence, Bamboo), update values.yaml:

  repository: jira
  tag: 7.8.20

Helper containers

If volumes.sharedHome.persistentVolumeClaim.sharedHome.nfsPermissionFixer.enabled is set to true, update values.yaml:

      imageTag: latest

If fluentd.enabled is set to true (false by default), update values.yaml:

  imageTag: v1.11.5-debian-elasticsearch7-1.2

9. Install your chosen product

helm install <release-name> \
             atlassian-data-center/<product> \
             --namespace <namespace> \
             --version <chart-version> \
             --values values.yaml

Values & flags

  • <release-name> the name of your deployment. You can also use --generate-name.
  • <product> the product to install. Options include:

    • jira
    • confluence
    • bitbucket
    • bamboo
    • bamboo-agent
    • crowd
  • <namespace> optional flag for categorizing installed resources.

  • <chart-version> optional flag for defining the chart version to be used. If omitted, the latest version of the chart will be used.
  • values.yaml optional flag for defining your site-specific configuration information. If omitted, the chart config default will be used.
  • Add --wait if you wish the installation command to block until all of the deployed Kubernetes resources are ready, but be aware that this may wait for several minutes if anything is mis-configured.

Elasticsearch for Bitbucket

We highly recommend you use an external Elasticsearch installation for Bitbucket. When you run more than one node you need to have a separate Elasticsearch cluster to enable code search. See Bitbucket Elasticsearch recommendations.

9. Test your deployed product

Make sure the service pod/s are running, then test your deployed product:

helm test <release-name> --logs --namespace <namespace>
  • This will run some basic smoke tests against the deployed release.
  • If any of these tests fail, it is likely that the deployment was not successful. Check the status of the deployed resources for any obvious errors that may have caused the failure.

10. Complete product setup

Using the service URL provided by Helm post install, open your product in a web browser and complete the setup via the setup wizard.

11. Additional deployments

Bamboo agents and Bitbucket mirrors can also be deployed via their dedicated charts:

Bamboo agent installation

Instructions for deploying Bamboo agents

Bitbucket mirror installation

Instructions for deploying Bitbucket mirror's


The deployment and all of its associated resources can be un-installed with the following command:

helm uninstall <release-name> atlassian-data-center/<product>