Kanister-Enabled ElasticsearchΒΆ

This section describes the steps for a basic installation of an instance of Elasticsearch (a stateful set application running master, client and data nodes with persistent volumes attached to master and data nodes) along with a Kanister Blueprint and a Profile via a Kanister-enabled Helm chart.

$ helm repo add kanister https://charts.kanister.io/

Then install the sample Elasticsearch application in its own namespace.

# Install Kanister-enabled Elasticsearch
$ helm install kanister/kanister-elasticsearch -n elasticsearch \
     --namespace es-test \
     --set profile.create='true' \
     --set profile.profileName='es-test-profile' \
     --set profile.s3.endpoint='https://my-custom-s3-provider:9000' \
     --set profile.s3.accessKey='AKIAIOSFODNN7EXAMPLE' \
     --set profile.s3.secretKey='wJalrXUtnFEMI%K7MDENG%bPxRfiCYEXAMPLEKEY' \
     --set profile.s3.bucket='kanister-bucket'
     --set kanister.controller_namespace="kanister"

The settings in the command above represent the minimum recommended set for your installation.

The command will also configure a location where artifacts resulting from Kanister data operations such as backup should go. This is stored as a profiles.cr.kanister.io CustomResource (CR) which is then referenced in Kanister ActionSets. Every ActionSet requires a Profile reference whether one created as part of the application install or not. Support for creating a Profile as part of install is simply for convenience. This CR can be shared between Kanister-enabled application instances so one option is to only create as part of the first instance.

Note

Prior to creating the Profile CR, you will need to do the following:

  • Create a bucket for artifacts on your S3 store. This will be your s3.bucket parameter to the command.
  • Obtain s3.accessKey and s3.secretKey credentials for an account with access to the bucket that you will use.
  • Configure the permissions on the bucket to allow the account to list, put, get, and delete.
  • Make sure that your retention policy allows deletions so that artifacts can be reclaimed based on your intended data backup retention.

Note

The s3.endpoint parameter is only required if you are using an S3-compatible provider different from AWS.

If you are using an on-premises s3 provider, the endpoint specified needs be accessible from within your Kubernetes cluster.

If, in your environment, the endpoint has a self-signed SSL certificate, include --set s3.verifySSL=false in the above command to disable SSL verification for the S3 operations in the blueprint.

If not creating a Profile CR, it is possible to use an even simpler command.

# Install Kanister-enabled Elasticsearch
$ helm install kanister/kanister-elasticsearch -n elasticsearch --namespace es-test

Note

The above command will attempt to use dynamic storage provisioning based on the the default storage class for your cluster. You will to need to designate a default storage class or, use a specific storage class by providing a value with the --set master.persistence.storageClass and --set data.persistence.storageClass option.