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dm | 9 years ago | |
docs | 9 years ago | |
examples | 9 years ago | |
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manager | 9 years ago | |
registry | 9 years ago | |
resourcifier | 9 years ago | |
templates | 9 years ago | |
util | 9 years ago | |
version | 9 years ago | |
.gitignore | 9 years ago | |
.travis.yml | 9 years ago | |
CONTRIBUTING.md | 9 years ago | |
LICENSE | 9 years ago | |
Makefile | 9 years ago | |
README.md | 9 years ago | |
install.yaml | 9 years ago |
README.md
Deployment Manager
Deployment Manager (DM) provides parameterized templates for Kubernetes resources, such as:
Templates live in ordinary Github repositories called template registries. This Github repository contains a template registry, as well as the DM source code.
You can use DM to deploy simple configurations that use templates, such as:
A configuration is just a YAML
file that supplies parameters. (Yes,
you're reading that second example correctly. It uses DM to deploy itself. See
examples/bootstrap/README.md for more information.)
DM runs server side, in your Kubernetes cluster, so it can tell you what types you've instantiated there, including both primitive types and templates, what instances you've created of a given type, and even how the instances are organized. So, 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.
For more information about types, including both primitive types 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. Your feedback and contributions are welcome.
Installing Deployment Manager
Follow these 3 steps to install DM:
- Make sure your Kubernetes cluster is up and running, and that you can run
kubectl
commands against it. - Clone this repository into the src folder of your GOPATH, if you haven't already. See the Kubernetes developer documentation for information on how to setup Go and use the repository.
- Use
kubectl
to install DM into your clusterkubectl create -f install.yaml
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!
Using Deployment Manager
Setting up the client
The easiest way to interact with Deployment Manager is through the dm
tool
hitting a kubectl
proxy. To set that up:
- Build the tool by running
make
in the deployment-manager repository. - Run
kubectl proxy --port=8001 --namespace=dm &
to start a proxy that lets you interact with the Kubernetes API server through port 8001 on localhost.dm
useshttp://localhost:8001/api/v1/proxy/namespaces/dm/services/manager-service:manager
as the default service address for DM.
Using the client
The DM client, dm
, can deploy configurations from the command line. It can also
pull templates from a template registry, generate configurations from them using
parameters supplied on the command line, and deploy the resulting configurations.
Deploying a configuration
dm
can deploy a configuration from a file, or read one from stdin
. This
command deploys the canonical Guestbook example from the examples directory:
dm deploy examples/guestbook/guestbook.yaml
You can now use kubectl
to see Guestbook running:
kubectl get service
Look for frontend-service. If your cluster supports external load balancing, it will have an external IP assigned to it, and you can navigate to it in your browser to see the guestbook in action.
For more information about this example, see examples/guestbook/README.md
Deploying a template directly
You can also deploy a template directly, without a configuration. This command deploys a redis cluster with two workers from the redis template in this repository:
dm deploy redis:v1
You can optionally supply values for template parameters on the command line, like this:
dm --properties workers=3 deploy redis:v1
When you deploy a template directly, without a configuration, dm
generates a
configuration from the template and any supplied parameters, and then deploys the
generated configuration.
For more information about deploying templates from a template registry or adding types to a template registry, see the template registry documentation.
Additional commands
dm
makes it easy to configure a cluster from a set of predefined templates.
Here's a list of available dm
commands:
expand Expands the supplied configuration(s)
deploy Deploys the named template or the supplied configuration(s)
list Lists the deployments in the cluster
get Retrieves the named deployment
delete Deletes the named deployment
update Updates a deployment using the supplied configuration(s)
deployed-types Lists the types deployed in the cluster
deployed-instances Lists the instances of the named type deployed in the cluster
templates Lists the templates in a given template registry
describe Describes the named template in a given template registry
Uninstalling Deployment Manager
You can uninstall Deployment Manager using the same configuration:
kubectl delete -f install.yaml
Building the Container Images
This project runs Deployment Manager on Kubernetes as three replicated services. By default, install.yaml 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
Design of Deployment Manager
There is a more detailed design document available.
Status of the Project
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. We use the same development process as the main Kubernetes repository.
Relationship to Google Cloud Platform
DM uses the same concepts and languages as Google Cloud Deployment Manager, but creates resources in Kubernetes clusters, not in Google Cloud Platform projects.