Create deployment_k8s.md

guide/deployment_k8s.md

+# Deployment guide for Kubernetes
+
+> Note: The best place to start is the README file in the faas or faas-netes repo.
+
+## Kubernetes
+
+### Build a cluster
+
+You can start evaluating FaaS and building functions on your laptop or on a VM (cloud or on-prem).
+
+* [10 minute guides for minikube / kubeadm](https://blog.alexellis.io/tag/k8s/)
+
+### Deploy OpenFaaS
+
+* Clone the code
+
+```
+$ git clone https://github.com/alexellis/faas-netes
+```
+
+* Deploy the services
+
+```
+$ cd faas-netes
+$ kubectl apply -f ./faas.yml,monitoring.yml,rbac.yml
+```
+
+That's it. You now have OpenFaaS deployed.
+
+For simplicity the default configuration uses NodePorts rather than an IngressController (which is more complicated to setup).
+
+| Service           | TCP port |
+--------------------|----------|
+| API Gateway / UI  | 31112    |
+| Prometheus        | 31119    |
+
+> If you're an advanced Kubernetes user, you can add an IngressController to your stack and remove the NodePort assignments.
+
+* Deploy a sample function
+
+There are currently no sample functions built into this stack, but we can deploy them quickly via the UI or FaaS-CLI.
+
+**Use the CLI**
+
+Follow the tutorial below, but change your gateway URL from localhost:8080 to kubernetes-node-ip:31112
+
+i.e.
+
+```
+provider:  
+  name: faas
+  gateway: http://192.168.4.95:31112
+```
+
+[Your first serverless Python function with OpenFaaS](https://blog.alexellis.io/first-faas-python-function/)
+
+You can also deploy the samples from the [FaaS-cli](https://github.com/alexellis/faas-cli), but change the gateway address as above.
+
+**Use the UI**
+
+Click "New Function" and fill it out with the following:
+
+| Field      | Value                        |
+-------------|------------------------------|
+| Service    | nodeinfo                     |
+| Image      | functions/nodeinfo:latest    |
+| fProcess   | node main.js                 |
+| Network    | default                      |
+
+* Test the function
+
+Your function will appear after a few seconds and you can click "Invoke"