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helm chart · cassandra

Cassandra

Helm chart for deploying cassandra

Latest version
v0.0.7
Chart type
Data source
Requires
Helm 3+

Install

Add the zop.dev chart repository, then install cassandra into your cluster.

helm repo add zopdev https://helm.zop.dev
helm repo update
helm install my-cassandra zopdev/cassandra --version v0.0.7

The Cassandra Helm chart provides an easy way to deploy Apache Cassandra, a highly scalable and distributed NoSQL database. This chart allows you to manage Cassandra instances on Kubernetes with customizable resource allocation, persistence, and scaling options.


Prerequisites

  • Kubernetes 1.19+
  • Helm 3+

Add Helm Repository

Before deploying the Cassandra chart, add the Helm repository to your local setup:

Terminal window
helm repo add zopdev https://helm.zop.dev
helm repo update

For more details, refer to the Helm Repository Documentation.


Install Helm Chart

To install the Cassandra Helm chart, use the following command:

Terminal window
helm install [RELEASE_NAME] zopdev/cassandra

Replace [RELEASE_NAME] with your desired release name. For example:

Terminal window
helm install my-cassandra zopdev/cassandra

To customize configurations, provide a values.yaml file or override values via the command line.

See Helm Install Documentation for more information.


Uninstall Helm Chart

To remove the Cassandra deployment and all associated Kubernetes resources, use the following command:

Terminal window
helm uninstall [RELEASE_NAME]

For example:

Terminal window
helm uninstall my-cassandra

See Helm Uninstall Documentation for additional details.


Configuration

The Cassandra Helm chart includes several configuration options to tailor the deployment to your needs. Below is a summary of the key configurations:

InputTypeDescriptionDefault
imagestringDocker image and tag for the Cassandra container.”bitnami/cassandra:5.0.2-debian-12-r3”
resources.requests.memorystringMinimum memory resources required by the Cassandra container."2000Mi"
resources.requests.cpustringMinimum CPU resources required by the Cassandra container."500m"
resources.limits.memorystringMaximum memory resources the Cassandra container can use."4000Mi"
resources.limits.cpustringMaximum CPU resources the Cassandra container can use."1000m"

You can override these values in a values.yaml file or via the command line during installation.


Example values.yaml File

Terminal window
resources:
requests:
memory: "2000Mi"
cpu: "500m"
limits:
memory: "4000Mi"
cpu: "1000m"
diskSize: 10Gi

To use this configuration, save it to a values.yaml file and apply it during installation:

Terminal window
helm install my-cassandra zopdev/cassandra -f values.yaml

Features

  • Scalable Architecture: Configure resources and scaling options to optimize performance for distributed database workloads.
  • Persistent Storage: Keep Cassandra data intact across pod restarts with configurable persistent volumes.
  • Customizable Resource Allocation: Tailor CPU and memory resources to match workload requirements.
  • Multi-Database Support: Configure multiple database services through the services configuration.
  • Easy Deployment: Simplified Helm chart for rapid deployment of Cassandra in Kubernetes environments.

Pod Scheduling

nodeSelector, tolerations and affinity are passed straight through to the pod spec. All three are empty by default and render nothing, so leaving them unset changes nothing for an existing release.

Together they place the workload on a dedicated node pool — the nodeSelector picks the pool, the toleration gets past its taint:

Terminal window
nodeSelector:
workload: stateful
tolerations:
- key: workload
operator: Equal
value: stateful
effect: NoSchedule

affinity takes a full Affinity object and is rendered verbatim.


Contributing

We welcome contributions to improve this Helm chart. Please refer to the CONTRIBUTING.md file for contribution guidelines.


Code of Conduct

To maintain a healthy and collaborative community, please adhere to our Code of Conduct.


License

This project is licensed under the LICENSE. Please review it for terms of use.

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