configmap exercise

Exercise:

1. Please create a configmap with the following values:
```
NAME=<your name>
LASTNAME=<yourlastname>
COMPANY=Soluto
```
2. Run a deployment based on otomato/httpenv  so that the configmap values are injected into the container environment.

If you already have a deployment:
`kubectl get deployment httpenv -oyaml > mydeployment.yaml`

if no deployment yet - create a yaml with dry run:

`kubectl create deployment httpenv --image=otomato/httpenv --dry-run=client -oyaml > mydeployment.yaml`
Edit mydeployment.yaml
kubectl apply -f mydeployment.yaml

3. Expose the deployment as a NodePort service on port 30001 of your host and send me the URL to access your httpenv service.

Generate the service yaml with: `kubectl expose deployment httpenv --port=8888 --type=NodePort --dry-run=client -oyaml`

And add NodePort 

configmap.exercise.md

Exercise:

1. Please create a configmap with the following values:

NAME=<your name>
LASTNAME=<yourlastname>
COMPANY=Soluto

2. Run a deployment based on otomato/httpenv so that the configmap values are injected into the container environment.

If you already have a deployment: kubectl get deployment httpenv -oyaml > mydeployment.yaml

if no deployment yet - create a yaml with dry run:

kubectl create deployment httpenv --image=otomato/httpenv --dry-run=client -oyaml > mydeployment.yaml Edit mydeployment.yaml kubectl apply -f mydeployment.yaml

3. Expose the deployment as a NodePort service on port 30001 of your host and send me the URL to access your httpenv service.

Generate the service yaml with: kubectl expose deployment httpenv --port=8888 --type=NodePort --dry-run=client -oyaml

And add NodePort