- Ability to reach a pod inside the cluster from your local machine.
- By using
kubectl port-forward
to forward a local port to a port in a pod. - Use environment variables to configure containers in pods.
Deploying a pod is not enough to make it accessible from outside the cluster.
In this exercise you will learn how to make temporary connections to a pod inside the cluster via kubectl port-forward
.
The kubectl port-forward
command allows you to forward one or more local ports to a pod. This can be used to access a pod that is running in the cluster, using for example a web browser or a command line tool like curl
.
The command takes two arguments: the pod name and the port to forward. The port is specified as local:remote
to forward a local port to a remote port inside the pod.
For example, if you want to forward port 8080 on your local machine to port 5000 in the pod, you can use the following command:
kubectl port-forward frontend 8080:5000
You can then access the pod on localhost:8080
.
💡 How does this port-forward work?
Port forwarding is a network address translation that redirects internet packets form one IP address with specified port number to another IP:PORT
set.
In Kubernetes port-forward
creates a tunnel between your local machine and Kubernetes cluster on the specified IP:PORT
pairs in order to establish connection to the cluster. kubectl port-forward
allows you to forward not only pods but also services, deployments and other.
More information can be found from here
- Deploy the frontend pod
- Expose the frontend with port-forward.
- Look at the frontend in a browser.
- Delete the frontend pod
- Deploy the backend pod
- Add environment variables to the frontend pod
- Expose the frontend with port-forward.
- Execute a curl command to the backend from the frontend pod
💡 If you get stuck somewhere along the way, you can check the solution in the done folder.
Step by step:
- Go into the
accessing-your-application
directory and thestart
folder. - Deploy the frontend pod
Hint on doing that
You can use the kubectl apply -f <filename>
command to deploy the pod.
The pod is defined in the frontend-pod.yaml
file.
- Check that the pod is running with
kubectl get pods
command.
You should see something like this:
NAME READY STATUS RESTARTS AGE
frontend 1/1 Running 0 2m
- Expose the frontend with port-forward
Port forward can be achieved with:
kubectl port-forward --address 0.0.0.0 frontend 8080:5000
💡 We add the
--address 0.0.0.0
option to the port-forward command to make it accept commands coming from remote machines, like your laptop!0.0.0.0
Means any address, so you probably don't want to do this on your own machine in, unless you want to expose something to the internet.
And can then be accessed on inst<number>.<prefix>.eficode.academy:8080
(from the internet).
💡 VSCode will ask you if you what to see the open port. Unfortunately vscode proxy does not proxy requests correctly back to the pod, so use the URL of the instance instead.
- Look at it in the browser.
Now we will deploy both the frontend and backend pods.
- Stop the port-forward process by pressing
Ctrl-c
in the terminal. - Delete the frontend pod with
kubectl delete pod frontend
command. - Deploy the backend pod with
kubectl apply -f backend-pod.yaml
command. - Check that the pod is running, and note down the IP with
kubectl get pods -o wide
command.
You should see something like this:
k get pods frontend -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
backend 1/1 Running 0 11s 10.0.40.196 ip-10-0-35-102.eu-west-1.compute.internal <none> <none>
In this case the IP is 10.0.40.196
, but it will be different in your case.
Add environment variables to the frontend pod
- Open the
frontend-pod.yaml
file and add the following environment variables to the pod:
env:
- name: BACKEND_HOST
value: "10.0.40.196" # Use the IP address you noted down above
- name: BACKEND_PORT
value: "5000"
The env
key is part of the spec.containers[0]
:
apiVersion: v1
kind: Pod
metadata:
name: frontend
spec:
containers:
- name: frontend
image: ghcr.io/eficode-academy/quotes-flask-frontend:0c8adaa4fe8a40fe703cdda414a8f191f4966fc4
ports:
- containerPort: 5000
# <put env: here!>
Help me! (solution)
apiVersion: v1
kind: Pod
metadata:
name: frontend
spec:
containers:
- name: frontend
image: ghcr.io/eficode-academy/quotes-flask-frontend:0c8adaa4fe8a40fe703cdda414a8f191f4966fc4
ports:
- containerPort: 5000
env:
- name: BACKEND_HOST
value: "10.0.40.196"
- name: BACKEND_PORT
value: "5000"
-
Deploy the frontend pod with
kubectl apply -f frontend-pod.yaml
command. -
Check that the pod is running with
kubectl get pods
command. -
Forward a local port to the pod using
kubectl port-forward
. -
Visit the frontend in the browser.
You should see something like this:
(if you don't you might need to refresh the page)
-
Exec into the frontend pod with
kubectl exec -it frontend -- /bin/sh
command. -
Execute a curl command to the backend
curl http://<BACKEND_IP>:5000
.
Extra exercise
While still having the port-forward running
- Access the frontend in the browser and check that it still works and that frontend has access to the backend.
- Try to delete the backend pod with
kubectl delete pod backend
command. - Try to recreate the backend pod with
kubectl apply -f backend-pod.yaml
command. - Access the frontend in the browser.
- Does it still have access to the backend?
If not, why not?
Solution
The frontend pod is not configured to automatically re-resolve the backend IP address. So when we deleted the pod, and recreated it, the IP address changed, but the frontend pod still has the old IP address in its environment variables.
Thankfully Kubernetes has a networking abstraction called services
which solves this exact (and more!) problem, which we will learn about in the next exercise.
- Stop the port-forward with
Ctrl+C
command. - Delete the pod with
kubectl delete pod frontend
command. - Delete the pod with
kubectl delete pod backend
command.
Congratulations! You have now learned how to make temporary connections to a pod inside the cluster via kubectl port-forward
, and how to use environment variables to configure the pod.
And lastly, you have learned how to use kubectl exec
to execute commands inside a pod.