Helm makes it easy to create, describe, update and
delete Kubernetes resources using declarative configuration. A configuration is
just a YAML file that configures Kubernetes resources or supplies parameters
to templates.
Helm Manager runs server side, in your Kubernetes cluster, so it can tell you what templates you've instantiated there, what resources they created, and even how the resources are organized. So, for example, you can ask questions like:
- What Redis instances are running in this cluster?
- What Redis master and slave services are part of this Redis instance?
- What pods are part of this Redis slave?
The official Helm repository of charts is available in the kubernetes/charts repository.
Please hang out with us in the Slack chat room.
Note: if you're exploring or using the project, you'll probably want to pull (the latest release)[https://github.com/kubernetes/helm/releases/latest], since there may be undiscovered or unresolved issues at HEAD.
From a Linux or Mac OS X client:
$ git clone https://github.com/kubernetes/deployment-manager.git
$ cd deployment-manager
$ make build
$ bin/helm dm install
That's it. You can now use kubectl to see DM running in your cluster:
kubectl get pod,rc,service --namespace=dm
If you see expandybird-service, manager-service, resourcifier-service, and expandybird-rc, manager-rc and resourcifier-rc with pods that are READY, then DM is up and running!
Run a Kubernetes proxy to allow the dm client to connect to the cluster:
kubectl proxy --port=8001 --namespace=dm &
You can uninstall Deployment Manager using the same configuration:
helm dm uninstall
To quickly deploy a chart, you can use the Helm command line tool:
$ helm deploy CHARTNAME
There is a more detailed design document available.
This project is still under active development, so you might run into issues. If you do, please don't be shy about letting us know, or better yet, contribute a fix or feature.
Your contributions are welcome.
We use the same workflow, License and Contributor License Agreement as the main Kubernetes repository.
DM uses many of the same concepts and languages as Google Cloud Deployment Manager, but creates resources in Kubernetes clusters, not in Google Cloud Platform projects.