I created a pod with an api and web docker container in kube.neters using a yml file (see below).
apiVersion: v1
kind: Pod
metadata:
name: test
labels:
purpose: test
spec:
containers:
- name: api
image: gcr.io/test-1/api:latest
ports:
- containerPort: 8085
name: http
protocol: TCP
- name: web
image: gcr.io/test-1/web:latest
ports:
- containerPort: 5000
name: http
protocol: TCP
It show my pod is up and running
NAME READY STATUS RESTARTS AGE
test 2/2 Running 0 5m
but I don't know how to expose it from here.
it seems odd I would have to run kubectl run.... again as the pod is already running. It does not show a deployment though.
if I try something like
kubectl expose deployment test --type="NodePort"--port 80 --target-port 5000
it complains about deployments.extensions "test' not found. What is the cleanest way to deploy from here?
To expose a deployment to the public internet, you will want to use a Service. The service type LoadBalancer handles this nicely, as you can just use pod selectors in the yaml file.
So if my deployment.yaml looks like this:
kind: Deployment
apiVersion: apps/v1beta2
metadata:
name: test-dply
spec:
selector:
# Defines the selector that can be matched by a service for this
deployment
matchLabels:
app: test_pod
template:
metadata:
labels:
# Puts the label on the pod, this must match the matchLabels
selector
app: test_pod
spec:
# Our containers for training each model
containers:
- name: mycontainer
image: myimage
imagePullPolicy: Always
command: ["/bin/bash"]
ports:
- name: containerport
containerPort: 8085
Then the service that would link to it is:
kind: Service
apiVersion: v1
metadata:
# Name of our service
name: prodigy-service
spec:
# LoadBalancer type to allow external access to multiple ports
type: LoadBalancer
selector:
# Will deliver external traffic to the pod holding each of our containers
app: test_pod
ports:
- name: sentiment
protocol: TCP
port: 80
targetPort: containerport
You can deploy these two items by using kubectl create -f /path/to/dply.yaml
and kubectl create -f /path/to/svc.yaml
. Quick note: The service will allocate a public IP address, which you can find using kubectl get services
with the following output:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
carbon-relay ClusterIP *.*.*.* <none> 2003/TCP 78d
comparison-api LoadBalancer *.*.*.* *.*.*.* 80:30920/TCP 15d
It can take several minutes to allocate the ip, just a forewarning. But the LoadBalancer's ip is fixed, and you can delete the pod that it points to and re-spin it without consequence. So if I want to edit my test.dply, I can without worrying about my service being impacted. You should rarely have to spin down services
You have created a pod, and not a deployment. Then you have exposed a deployment (and not your pod). Try:
kubectl expose pod test --type=NodePort --port=80 --target-port=5000
kubectl expose pod test --type=LoadBalancer --port=XX --target-port=XXXX
If you already have pod and service running, you can create an ingress for the service you want to expose to the inte.net.
If you want to create it through console, Google Cloud provides really easy way to create an ingress from an existing service. Go to Services and Ingress tab, select the service, click on create ingress, fill the name and other mandatory fields.
or you can create using yaml file
apiVersion: "networking.k8s.io/v1"
kind: "Ingress"
metadata:
name: "example-ingress"
namespace: "default"
spec:
defaultBackend:
service:
name: "example-service"
port:
number: 8123
status:
loadBalancer: {}
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