Deployment Manager (DM) dm
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. Templates are just YAML files with Jinja
mark up or Python scripts.
For example, this simple configuration deploys the Guestbook example:
resources:
- name: frontend
type: github.com/kubernetes/application-dm-templates/common/replicatedservice:v1
properties:
service_port: 80
container_port: 80
external_service: true
replicas: 3
image: gcr.io/google_containers/example-guestbook-php-redis:v3
- name: redis
type: github.com/kubernetes/application-dm-templates/storage/redis:v1
properties: null
It uses two templates. The front end is a replicated service, which creates a service and replication controller with matching selectors, and the back end is a Redis cluster, which creates a Redis master and two Redis slaves.
Templates can use other templates, making it easy to create larger structures from smaller building blocks. For example, the Redis template uses the replicated service template to create the Redis master, and then again to create each Redis slave.
DM 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?
Because DM stores its state in the cluster, not on your workstation, you can ask those questions from any client at any time.
Templates live in ordinary Github repositories called template registries. See the Kubernetes Template Registry for curated Kubernetes applications using Deployment Manager templates.
For more information about configurations and templates, see the design document.
Please hang out with us in the Slack chat room and/or the Google Group for the Kubernetes configuration SIG.
From a Linux or Mac OS X client:
curl -s https://raw.githubusercontent.com/kubernetes/deployment-manager/master/get-install.sh | sh
and then install the DM services into your Kubernetes cluster:
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 &
To deploy a simple guestbook app:
$ dm deploy examples/guestbook/guestbook.yaml
$ kubectl get service
The frontend-service
should have an external IP that you can navigate to in
your browser to play with.
For more information about this example, see examples/guestbook/README.md
To deploy a redis template from the Kubernetes Template Registry:
dm --properties workers=3 deploy storage/redis:v1
For more information about deploying templates from a template registry or adding types to a template registry, see the template registry documentation.
You can uninstall Deployment Manager using the same configuration:
helm dm delete
This project runs Deployment Manager on Kubernetes as three replicated services.
By default, helm
uses prebuilt images stored in Google Container Registry
to install them. However, you can build your own container images and push them
to your own project in the Google Container Registry:
- Set the environment variable
PROJECT
to the name of a project known to GCloud. - Run
make push
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 the same concepts and languages as Google Cloud Deployment Manager, but creates resources in Kubernetes clusters, not in Google Cloud Platform projects.