Kadalu is a project which started as an idea to make glusterfs's deployment and management simpler in kubernetes. The project contains operator to deploy CSI pods, and gluster storage nodes. All of gluster management is done natively in kubernetes without glusterfs's glusterd and gluster CLI tools.

Try it in few minutes to understand more!

Start with our Quick Start Guide. More documentation is at doc/ folder.

If you made some errors in setup, and want to start fresh, check this cleanup script, and run it to remove kadalu namespace completely.

Links to blogs and news updates are provided in our website.

1. [Blog] Gluster’s management in k8s
2. [Blog] Gluster and Kubernetes - Portmap
3. [Talk] DevConf India - Rethinking Gluster Management using k8s (Check slides here)
4. [Demo] Asciinema recording - Kadalu Setup
5. [Demo] Asciinema recording - KaDalu CSI to claim Persistent Volumes
6. [Blog] kaDalu - Ocean of opportunities

For more blog posts, see kadalu.io/blog

1. Best is opening an issue in github.
2. Reach to us on Slack (Note, there would be no history) - https://kadalu.slack.com

We would like your contributions to come as feedbacks, testing, development etc. See CONTRIBUTING for more details.

If you are interested in financial donation to the project, or to the developers, you can do so at our opencollective page. (We like github sponsors too, but its still in waiting list for an org in India).

helm install kadalu --namespace kadalu --create-namespace https://github.com/kadalu/kadalu/releases/download/<release>/kadalu-helm-chart.tgz --set-string kubernetesDistro=$K8S_DIST

Where K8S_DIST can be one of below values:

• kubernetes
• openshift
• rke
• microk8s

If --set-string isn't supplied kubernetes will be used as default.

NOTE: We are still evolving with Helm chart based development, and happy to get contributions on the same.

We support x86_64 (amd64) by default (all releases, devel and latest tags), and in release 0.7.7 tag arm64 and arm/v7 is supported. If you want to try arm64 or arm/v7 in latest form try below command to start the operator

kubectl apply -f https://raw.githubusercontent.com/kadalu/kadalu/arm/manifests/kadalu-operator.yaml

For any other platforms, we need users to confirm it works by building images locally. Once it works, we can include it in our automated scripts. You can confirm the build by command make release after checkout of the repository in the respective platform.

One is free to pronounce 'kaDalu' as they wish. Below is a sample of how we pronounce it!

Note 1: If you like the project, give a github star :-)