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Deployment Manager
Deployment Manager lets you define and deploy simple declarative configuration for your Kubernetes resources (e.g., pods, replication controllers, services, etc.).
You can also use Python or Jinja to create powerful parameterizable abstract types called Templates. You can create general abstract building blocks to reuse, like a Replicated Service, or create more concrete types like a Redis cluster.
You can find more examples of Templates and configurations in our examples.
Deployment Manager uses the same concepts and languages as Google Cloud Deployment Manager, but creates resources within your Kubernetes cluster, not on the Google Cloud Platform.
Please join us on the Google Group and/or in the Slack chat room for the Kubernetes configuration SIG.
Getting started
For the following steps, it is assumed that you have a Kubernetes cluster up and running, and that you can run kubectl commands against it. It is also assumed that you're working with a clone of the repository installed in the src folder of your GOPATH, and that your PATH contains $GOPATH/bin, per convention.
Since Deployment Manager uses Python and will be running locally on your machine, you will first need to make sure the necessary Python packages are installed. This assumes that you have already installed the pip package management system on your machine.
pip install -r expandybird/requirements.txt
Next, you'll build and install the binaries, and bootstrap Deployment Manager into the cluster. Finally, you'll deploy an example application on the cluster using Deployment Manager.
Building and installing the binaries
In this step, you're going to build and install the Deployment Manager binaries. You can do this by running make in the repository root.
make
Bootstrapping Deployment Manager
In this step, you're going to bootstrap Deployment Manager into the cluster.
Next, start the three Deployment Manager binaries on localhost using the supplied bootstrap script.
./examples/bootstrap/bootstrap.sh
The script starts the following binaries:
- manager (frontend service) running on port 8080
- expandybird (expands templates) running on port 8081
- resourcifier (reifies primitive Kubernetes resources) running on port 8082
It also starts kubectl proxy on port 8001.
Next, use the Deployment Manager running on localhost to deploy itself onto the cluster using the supplied command line tool and template.
client --name test --service=http://localhost:8080 examples/bootstrap/bootstrap.yaml
You should now have Deployment Manager running on your cluster, and it should be visible using kubectl (kubectl get pod,rc,service).
Deploying your first application (Guestbook)
In this step, you're going to deploy the canonical guestbook example to your Kubernetes cluster.
client --name guestbook --service=http://localhost:8001/api/v1/proxy/namespaces/default/services/manager-service:manager examples/guestbook/guestbook.yaml
You should now have guestbook up and running. To verify, get the list of services running on the cluster:
kubectl get service
You should see frontend-service running. If your cluster supports external load balancing, it will have an external IP assigned to it, and you should be able to navigate to it to see the guestbook in action.
Building the container images
This project runs Deployment Manager on Kubernetes as three replicated services. By default, prebuilt images stored in Google Container Registry are used to create them. However, you can build your own container images and push them to your own project in the registry.
To build and push your own images to Google Container Registry, first set the environment variable PROJECT to the name of a project known to gcloud. Then, run the following command:
make push
Design of Deployment Manager
There is a more detailed design document available.
Status of the project
The project is still in a very active development mode so you might run into issues, please don't be shy about letting us know when you run into issues.