I have a Kubernetes service (a Python Flask application) exposed publicly on port 6000 using the LoadBalancer type.
When I am using kubectl to send the YAML file to Kubernetes by running the following command:
kubectl apply -f deployment.yaml
I got the status of the service as running.
When I am navigating to http://localhost:6000, I am not able to see the “Hello from Python!”
I tried using port 8081, and that is also not working. But when I am using port 8088, it's working.
deployment.yaml file which I am using:
apiVersion: v1
kind: Service
metadata:
name: hello-python-service
spec:
selector:
app: hello-python
ports:
- protocol: "TCP"
port: 6000
targetPort: 5000
type: LoadBalancer
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello-python
spec:
selector:
matchLabels:
app: hello-python
replicas: 4
template:
metadata:
labels:
app: hello-python
spec:
containers:
- name: hello-python
image: hello-python:latest
imagePullPolicy: Never
ports:
- containerPort: 5000
I am using the following example:
Kubernetes Using Python
Why some ports like 6000 or 8081 are not working and why some ports like 8088 or 9000 are working?
Related
I have two pods created with deployment and service. my problem is as follows the pod "my-gateway" accesses the url "adm-contact" of "http://127.0.0.1:3000/adm-contact" which accesses another pod called "my-adm-contact" as can i make this work? I tried the following command: kubectl port-forward my-gateway-5b85498f7d-5rwnn 3000:3000 8879:8879 but it gives this error:
E0526 21:56:34.024296 12428 portforward.go:400] an error occurred forwarding 3000 -> 3000: error forwarding port 3000 to pod 2d5811c20c3762c6c249a991babb71a107c5dd6b080c3c6d61b4a275b5747815, uid : exit status 1: 2022/05/27 00:56:35 socat[2494] E connect(16, AF=2 127.0.0.1:3000, 16): Connection refused
Remembering that the images created with dockerfile are with EXPOSE 3000 8879
follow my yamls:
Deployment my-adm-contact:
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-adm-contact
labels:
app: my-adm-contact
spec:
selector:
matchLabels:
run: my-adm-contact
template:
metadata:
labels:
run: my-adm-contact
spec:
containers:
- name: my-adm-contact
image: my-contact-adm
imagePullPolicy: Never
ports:
- containerPort: 8879
hostPort: 8879
name: admcontact8879
readinessProbe:
httpGet:
path: /adm-contact
port: 8879
initialDelaySeconds: 30
periodSeconds: 10
failureThreshold: 6
Sevice my-adm-contact:
apiVersion: v1
kind: Service
metadata:
name: my-adm-contact
labels:
run: my-adm-contact
spec:
selector:
app: my-adm-contact
ports:
- name: 8879-my-adm-contact
port: 8879
protocol: TCP
targetPort: 8879
type: LoadBalancer
status:
loadBalancer: {}
Deployment my-gateway:
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-gateway
labels:
app: my-gateway
spec:
selector:
matchLabels:
run: my-gateway
template:
metadata:
labels:
run: my-gateway
spec:
containers:
- name: my-gateway
image: api-gateway
imagePullPolicy: Never
ports:
- containerPort: 3000
hostPort: 3000
name: home
#- containerPort: 8879
# hostPort: 8879
# name: adm
readinessProbe:
httpGet:
path: /adm-contact
port: 8879
path: /
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
failureThreshold: 6
Service my-gateway:
apiVersion: v1
kind: Service
metadata:
name: my-gateway
labels:
run: my-gateway
spec:
selector:
app: my-gateway
ports:
- name: 3000-my-gateway
port: 3000
protocol: TCP
targetPort: 3000
- name: 8879-my-gateway
port: 8879
protocol: TCP
targetPort: 8879
type: LoadBalancer
status:
loadBalancer: {}
What k8s-cluster environment are you running this in? I ask because the service.type of LoadBalancer is a special kind: at pod initialisation your cloud provider's admission controller will spot this and add in a loadbalancer config See https://kubernetes.io/docs/concepts/services-networking/service/#loadbalancer
If you're not deploying this in a suitable cloud environment, your services won't do anything.
I had a quick look at your SO profile and - sorry if this is presumptious, I don't mean to be - it looks like you're relatively new to k8s. You shouldn't need to do any port-forwarding/kubectl proxying, and this should be a lot simpler than you might think.
When you create a service k8s will 'create' a DNS entry for you which points to the pod(s) specified by your selector.
I think you're trying to reach a setup where code running in my-gateway pod can connect to http://adm-contact on port 3000 and reach a listening service on the adm-contact pod. Is that correct?
If so, the outline solution is to expose tcp/3000 in the adm-contact pod, and create a service called adm-contact that has a selector for adm-contact pod.
This is a sample manifest I've just created which runs nginx and then creates a service for it, allowing any pod on the cluster to connect to it e.g. curl http://nginx-service.default.svc In this example I'm exposing port 80 because I didn't want to have to modify the nginx config, but the principle is the same.
apiVersion: v1
kind: Pod
metadata:
labels:
app: nginx
name: nginx
spec:
containers:
- image: nginx
imagePullPolicy: Always
name: nginx
ports:
- containerPort: 80
protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: nginx
type: ClusterIP
The k8s docs on Services are pretty helpful if you want more https://kubernetes.io/docs/concepts/services-networking/connect-applications-service/
a service can be reached on it's own name from pods in it's namespace:
so a service foo in namespace bar can be reached at http://foo from a pod in namespace bar
from other namespaces that service is reachable at http://foo.bar.svc.cluster.local. Change out the servicename and namespace for your usecase.
k8s dns is explained here in the docs:
https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/
I have taken the YAML you provided and assembled it here.
From another comment I see the URL you're trying to connect to is: http://gateway-service.default.svc.cluster.local:3000/my-adm-contact-service
The ability to resolve service names to pods only functions inside the cluster: coredns (a k8s pod) is the part which recognises when a service has been created and what IP(s) it's available at.
So another pod in the cluster e.g. one created by kubectl run bb --image=busybox -it -- sh would be able to resolve the command ping gateway-service, but pinging gateway-service from your desktop will fail because they're not both seeing the same DNS.
The api-gateway container will be able to make a connect to my-adm-contact-service on ports 3000 or 8879, and the my-adm-contact container will equally be able to connect to gateway-service on port 3000 - but only when those containers are running inside the cluster.
I think you're trying to access this from outside the cluster, so now the port/service types are correct you could re-try a kubectl port-forward svc/gateway-service 3000:3000 This will let you connect to 127.0.0.1:3000 and the traffic will be routed to port 3000 on the api-gateway container.
If you need to proxy to the other my-adm-contact-service then you'll have to issue similar kubectl commands in other shells, one per service:port combination. For completeness, if you wanted to route traffic from your local machine to all three container/port sets, you'd run:
# format kubectl port-forward svc/name src:dest (both TCP)
kubectl port-forward svc/gateway-service 3000:3000
kubectl port-forward svc/my-adm-contact-service 8879:8879
kubectl port-forward svc/my-adm-contact-service 3001:3000 #NOTE the changed local port, because localhost:3000 is already used
You will need a new shell for each kubectl, or run it as a background job.
apiVersion: v1
kind: Pod
metadata:
name: my-adm-contact
labels:
app: my-adm-contact
spec:
containers:
- image: my-contact-adm
imagePullPolicy: Never
name: my-adm-contact
ports:
- containerPort: 8879
protocol: TCP
- containerPort: 3000
protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
name: my-adm-contact-service
spec:
ports:
- port: 8879
protocol: TCP
targetPort: 8879
name: adm8879
- port: 3000
protocol: TCP
targetPort: 3000
name: adm3000
selector:
app: my-adm-contact
type: ClusterIP
---
apiVersion: v1
kind: Pod
metadata:
name: my-gateway
labels:
app: my-gateway
spec:
containers:
- image: api-gateway
imagePullPolicy: Never
name: my-gateway
ports:
- containerPort: 3000
protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
name: gateway-service
spec:
ports:
- port: 3000
protocol: TCP
targetPort: 3000
selector:
app: my-gateway
type: ClusterIP
I am working my way through a kubernetes tutorial using GKE, but it was written with Azure in mind - tho it has been working ok so far.
The first part where it has not worked has been with exercises regarding coreDNS - which I understand does not exist on GKE - it's kubedns only?
Is this why I can't get a pod endpoint with:
export PODIP=$(kubectl get endpoints hello-world-clusterip -o jsonpath='{ .subsets[].addresses[].ip}')
and then curl:
curl http://$PODIP:8080
My deployment is definitely on the right port:
ports:
- containerPort: 8080
And, in fact, the deployment for the tut is from a google sample.
Is this to do with coreDNS or authorisation/needing a service account? What can I do to make the curl request work?
Deployment yaml is:
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello-world-customdns
spec:
replicas: 3
selector:
matchLabels:
app: hello-world-customdns
template:
metadata:
labels:
app: hello-world-customdns
spec:
containers:
- name: hello-world
image: gcr.io/google-samples/hello-app:1.0
ports:
- containerPort: 8080
dnsPolicy: "None"
dnsConfig:
nameservers:
- 9.9.9.9
---
apiVersion: v1
kind: Service
metadata:
name: hello-world-customdns
spec:
selector:
app: hello-world-customdns
ports:
- port: 80
protocol: TCP
targetPort: 8080
Having a deeper insight on what Gari comments, when exposing a service outside your cluster, this services must be configured as NodePort or LoadBalancer, since ClusterIP only exposes the Service on a cluster-internal IP making the service only reachable from within the cluster, and since Cloud Shell is a a shell environment for managing resources hosted on Google Cloud, and not part of the cluster, that's why you're not getting any response. To change this, you can change your yaml file with the following:
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello-world-customdns
spec:
replicas: 3
selector:
matchLabels:
app: hello-world-customdns
template:
metadata:
labels:
app: hello-world-customdns
spec:
containers:
- name: hello-world
image: gcr.io/google-samples/hello-app:1.0
ports:
- containerPort: 8080
dnsPolicy: "None"
dnsConfig:
nameservers:
- 9.9.9.9
---
apiVersion: v1
kind: Service
metadata:
name: hello-world-customdns
spec:
selector:
app: hello-world-customdns
type: NodePort
ports:
- port: 80
protocol: TCP
targetPort: 8080
After redeploying your service, you can run command kubectl get all -o wide on cloud shell to validate that NodePort type service has been created with a node and target port.
To test your deployment just throw a CURL test to he external IP from one of your nodes incluiding the node port that was assigned, the command should look like something like:
curl <node_IP_address>:<Node_port>
my deployment yaml:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
selector:
matchLabels:
app: nginx
replicas: 3
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
my service yaml:
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
selector:
app: nginx
ports:
- protocol: TCP
port: 80
targetPort: 80
enter image description here
enter image description here
and then I curl 10.104.239.140, but get an error curl: (7) Failed connect to 10.104.239.140:80; Connection timed out
Who can tell me what's wrong?
welcome to SO. That service you've deployed is of type ClusterIP which means it can only be accessed from within the cluster. In your case, it seems you're trying to access it from outside the cluster and thus the connection timed out.
What you can do is, deploy a service of type NodePort or LoadBalancer to access it from outside the cluster. You can read more about different service types here.
You're service would end up something like this:
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
type: NodePort ## or LoadBalancer(supported by Cloud providers like AWS)
selector:
app: nginx
ports:
- protocol: TCP
port: 80
targetPort: 80
# Optional field
# By default and for convenience, the Kubernetes control plane will allocate a port from a range (default: 30000-32767)
nodePort: 30001
I have created small nginx deployment and type as LoadBalancer in Azure Kubernetes service, but I was unable to access the application using LoadBalaner service. Can some one provide the solution
I have already updated security group to allow all traffic, but no use.
Do I need to update any security group to access the application?
Please find the deployment file.
cat nginx.yml
apiVersion: v1
kind: Service
metadata:
name: nginx-kubernetes
spec:
type: LoadBalancer
ports:
- port: 8080
targetPort: 8080
selector:
app: hello-kubernetes
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-kubernetes
spec:
replicas: 3
selector:
matchLabels:
app: hello-kubernetes
template:
metadata:
labels:
app: hello-kubernetes
spec:
containers:
- name: hello-kubernetes
image: nginx:latest
ports:
- containerPort: 8080
Nginx container is using port 80 by default and you are trying to connect to port 8080 where nothing is listening and thus getting connection refused.
Take a look here at nginx conateiner Dockerfile. What port do you see?
All you need to do to make it work is to change target port like following:
apiVersion: v1
kind: Service
metadata:
name: nginx-kubernetes
spec:
ports:
- port: 8080
targetPort: 80
selector:
app: hello-kubernetes
Additionally it would be nice to change containerPort as following:
spec:
containers:
- name: hello-kubernetes
image: nginx:latest
ports:
- containerPort: 80
I'm running a simple spring microservice project with Minikube. I have two projects: lucky-word-client (on port 8080) and lucky-word-server (on port 8888). But I can't communicate client with server. Infact if lucky-word-client communicates with lucky-word-server, the result is the word "Evviva", else the word is "Default". When I run on terminal: minikube service lucky-client the output is Default, instead of Evviva.
This is the file Dockerfile of lucky-word-server:
FROM frolvlad/alpine-oraclejdk8
ADD build/libs/common-config-server-0.0.1-SNAPSHOT.jar common-config-server.jar
EXPOSE 8888
ENTRYPOINT ["/usr/bin/java", "-Xmx128m", "-Xms128m"]
CMD ["-jar", "common-config-server.jar"]
This is the file Dockerfile of lucky-word-client:
FROM frolvlad/alpine-oraclejdk8
ADD build/libs/lucky-word-client-0.0.1-SNAPSHOT.jar lucky-word-client.jar
EXPOSE 8080
ENTRYPOINT ["/usr/bin/java", "-Xmx128m", "-Xms128m"]
CMD ["-jar", "-Dspring.profiles.active=italian", "lucky-word-client.jar"]
This is deployment of lucky-word-server:
apiVersion: apps/v1
kind: Deployment
metadata:
name: lucky-server
spec:
selector:
matchLabels:
app: lucky-server
replicas: 1
template:
metadata:
labels:
app: lucky-server
spec:
containers:
- name: lucky-server
image: lucky-server-img
imagePullPolicy: Never
ports:
- containerPort: 8888
This is the service of lucky-word-server:
kind: Service
apiVersion: v1
metadata:
name: lucky-server
spec:
selector:
app: lucky-server
ports:
- protocol: TCP
port: 8888
type: NodePort
This is the deployment of lucky-word-client:
apiVersion: apps/v1
kind: Deployment
metadata:
name: lucky-client
spec:
selector:
matchLabels:
app: lucky-client
replicas: 1
template:
metadata:
labels:
app: lucky-client
spec:
containers:
- name: lucky-client
image: lucky-client-img
imagePullPolicy: Never
ports:
- containerPort: 8080
This is the service of lucky-word-client:
kind: Service
apiVersion: v1
metadata:
name: lucky-client
spec:
selector:
app: lucky-client
ports:
- protocol: TCP
port: 8080
type: NodePort
As #suren stated you should specify the target port in the service definition.
And you should change the endpoint URL of the server that client calls to reflect minikube_host_ip. There are couple of ways to achieve that. The naive method would be as follows.
Change your Kubernetes service for the server to have a static Nodeport as follows:
kind: Service
apiVersion: v1
metadata:
name: lucky-server
spec:
selector:
app: lucky-server
ports:
- protocol: TCP
port: 8080
nodePort: 32002
type: NodePort
And in your client code just change the endpoint of the server as follows:
http://{minikube_host_ip}:32002 Replace your {minikube_host_ip} with the ip address of the minikube host here.
But if you don't want to hard code the minikube ip you can inject it as an environment variable in your Kuberenetes deployment script. And that environment variable should be captured in your docker file.
Your services are sending the requests to port 80 now. You need to specify parameter targetPort. Should look like this:
kind: Service
apiVersion: v1
metadata:
name: lucky-server
spec:
selector:
app: lucky-server
ports:
- protocol: TCP
targetPort: 8888 #this is your container port. where to send the requests
port: 8888 #this is the service port. it is running on svc-ip:8888
type: NodePort
You should do the same with the other service. Also check the service port. Now it is on 8080 and 8888. You might be hitting them on port 80.
There might be more issues, but for now, these for sure cause a problem.