Kubernetes deployment not publicly accesible - kubernetes

im trying to access a deloyment on our Kubernetes cluster on Azure. This is a Azure Kubernetes Service (AKS). Here are the configuration files for the deployment and the service that should expose the deployment.
Configurations
apiVersion: apps/v1
kind: Deployment
metadata:
name: mira-api-deployment
spec:
replicas: 1
selector:
matchLabels:
app: mira-api
template:
metadata:
labels:
app: mira-api
spec:
containers:
- name: backend
image: registry.gitlab.com/izit/mira-backend
ports:
- containerPort: 8080
name: http
protocol: TCP
imagePullSecrets:
- name: regcred
apiVersion: v1
kind: Service
metadata:
name: mira-api-service
spec:
type: LoadBalancer
ports:
- port: 80
targetPort: 8080
protocol: TCP
name: http
selector:
run: mira-api
When I check the cluster after applying these configurations I, I see the pod running correctly. Also the service is created and has public IP assigned.
After this deployment I don't see any requests getting handled. I get a error message in my browser saying the site is inaccessible. Any ideas what I could have configured wrong?

Your service selector labels and pod labels do not match.
You have app: mira-api label in deployment's pod template but have run: mira-api in service's label selector.
Change your service selector label to match the pod label as follows.
apiVersion: v1
kind: Service
metadata:
name: mira-api-service
spec:
type: LoadBalancer
ports:
- port: 80
targetPort: 8080
protocol: TCP
name: http
selector:
app: mira-api
To make sure your service is selecting the backend pods or not, you can run kubectl describe svc <svc name> command and check if it has any Endpoints listed.
# kubectl describe svc postgres
Name: postgres
Namespace: default
Labels: app=postgres
Annotations: kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"v1","kind":"Service","metadata":{"annotations":{},"labels":{"app":"postgres"},"name":"postgres","namespace":"default"},"s...
Selector: app=postgres
Type: ClusterIP
IP: 10.106.7.183
Port: default 5432/TCP
TargetPort: 5432/TCP
Endpoints: 10.244.2.117:5432 <------- This line
Session Affinity: None
Events: <none>

Related

mentioned ip to endpoints are not getting configured in k8s

i am trying to add IPs manually using endpoint object in yaml. however minikube cluster is getting its defaults ips of endpoints instead of mention in the yaml file. why?
yamlfile:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx-app
spec:
replicas: 3
selector:
matchLabels:
app: nginx-app
template:
metadata:
labels:
app: nginx-app
spec:
containers:
- name: nginx-container
image: nginx:1.16
ports:
- containerPort: 80
---
apiVersion: v1
kind: Endpoints
metadata:
name: nginx-service
subsets:
- ports:
- port: 80
addresses:
- ip: 172.17.0.11 ---> configured ip
- ip: 172.17.0.12 ---> configured ip
- ip: 172.17.0.13 ---> configured ip
---
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
type: NodePort
selector:
app: nginx-app
ports:
- protocol: TCP
nodePort: 30464
port: 90
targetPort: 80
ips in endpoint output: (see 172.17.0.6, 172.17.0.7 and 172.17.0.8 while i have given 172.17.0.11, 172.17.0.12 and 172.17.0.13 in yaml)
/home/ravi/k8s>kubectl get endpoints
NAME ENDPOINTS AGE
kubernetes 192.168.49.2:8443 36h
nginx-service 172.17.0.6:80,172.17.0.7:80,172.17.0.8:80 5m59s
I have tried replicating your issue and got the configured IP addresses for endpoints.
The changes might have occurred due to the namespaces also, Once check it .

I can't curl nginx which I deployed on k8s cluster

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

Cannot access file inside Kubernetes cluster that has load balancer externally

I have the cluster setup below in AKS
apiVersion: apps/v1
kind: Deployment
metadata:
name: hpa-example
spec:
replicas: 3
selector:
matchLabels:
app: hpa-example
template:
metadata:
labels:
app: hpa-example
spec:
containers:
- name: hpa-example
image: gcr.io/google_containers/hpa-example
ports:
- name: http-port
containerPort: 80
resources:
requests:
cpu: 200m
---
apiVersion: v1
kind: Service
metadata:
name: hpa-example
spec:
ports:
- port: 31001
nodePort: 31001
targetPort: http-port
protocol: TCP
selector:
app: hpa-example
type: NodePort
---
apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
name: hpa-example-autoscaler
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: hpa-example
minReplicas: 1
maxReplicas: 10
targetCPUUtilizationPercentage: 50
The idea of this is to check AutoScaling
I need to have this available externally so I added
apiVersion: v1
kind: Service
metadata:
name: load-balancer-autoscaler
spec:
selector:
app: hpa-example
ports:
- port: 31001
targetPort: 31001
type: LoadBalancer
This now gives me an external IP however, I cannot connect to it in Postman or via a browser
What have I missed?
I have tried to change the ports between 80 and 31001 but that makes no difference
As posted by user #David Maze:
What's the exact URL you're trying to connect to? What error do you get? (On the load-balancer-autoscaler service, the targetPort needs to match the name or number of a ports: in the pod, or you could just change the hpa-example service to type: LoadBalancer.)
I reproduced your scenario and found out issue in your configuration that could deny your ability to connect to this Deployment.
From the perspective of Deployment and Service of type NodePort everything seems to work okay.
If it comes to the Service of type LoadBalancer on the other hand:
apiVersion: v1
kind: Service
metadata:
name: load-balancer-autoscaler
spec:
selector:
app: hpa-example
ports:
- port: 31001
targetPort: 31001 # <--- CULPRIT
type: LoadBalancer
This definition will send your traffic directly to the pods on port 31001 and it should send it to the port 80 (this is the port your app is responding on). You can change it either by:
targetPort: 80
targetPort: http-port
You could also change the Service of the NodePort (hpa-example) to LoadBalancer as pointed by user #David Maze!
After changing this definition you will be able to run:
$ kubectl get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
load-balancer-autoscaler LoadBalancer 10.4.32.146 AA.BB.CC.DD 31001:31497/TCP 9m41s
curl AA.BB.CC.DD:31001 and get the reply of OK!
I encourage you to look on the additional resources regarding Kubernetes services:
Docs.microsoft.com: AKS: Network: Services
Stackoverflow.com: Questions: Difference between nodePort and LoadBalancer service types
Kubernetes.io: Docs: Concepts: Service

Though external ip is resolved, the website returns connection timedout in kubernetes GKE

I have created a k8s deployment and service yaml for a static website. External IP address is also resolved in kubernetes service. But when I try to access the website through curl or browser, it returns connection timed out.
Dockerfile:
FROM nginx:alpine
COPY . /usr/share/nginx/html
K8s deployment yml:
apiVersion: apps/v1
kind: Deployment
metadata:
name: ohno-website
labels:
app: ohno-website
spec:
replicas: 1
selector:
matchLabels:
app: ohno-website
template:
metadata:
labels:
app: ohno-website
spec:
containers:
- name: ohno-website
image: gkganeshr/ohno-website:v0.1
imagePullPolicy: Always
ports:
- containerPort: 80
k8s service yml:
apiVersion: v1
kind: Service
metadata:
name: ohno-website
spec:
type: LoadBalancer
ports:
- protocol: TCP
port: 80
targetPort: 9376
selector:
app: ohno-website
ohno_fooserver#cloudshell:~ (fourth-webbing-279817)$ kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.16.0.1 <none> 443/TCP 8h
ohno-website LoadBalancer 10.16.12.162 34.70.213.174 80:31977/TCP 7h4m
The target port defined in the service defition YAML is incorrect. It should match with container port from pod definition in deployment YAML
targetPort: 9376
should be changed to
targetPort: 80

Can't access service in my local kubernetes cluster using NodePort

I have a manifest as the following
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: my-redis
spec:
selector:
matchLabels:
app: my-redis
replicas: 1
template:
metadata:
labels:
app: my-redis
spec:
containers:
- name: my-redis
image: redis
ports:
- name: redisport1
containerPort: 6379
hostPort: 6379
---
apiVersion: v1
kind: Service
metadata:
name: redis-service
labels:
app: my-redis
spec:
type: NodePort
selector:
name: my-redis
ports:
- name: redisport1
port: 6379
targetPort: 6379
nodePort: 30036
protocol: TCP
This is a sample that reproduces my problem. My intention here is to create a simple cluster that has a pod with a redis container in it, and it should be exposed to my localhost. Still, get services gives me the following output:
redis-service NodePort 10.107.233.66 <none> 6379:30036/TCP 10s
If I swap NodePort with LoadBalancer, I get an external-ip but still port doesn't work.
Can you help me identify why I'm failing to map the 6379 port to my localhost, please?
Thanks,
In order to access your app through node port, you have to use this url
http://{node ip}:{node port}.
If you are using minikube, your minikube ip is the node ip. You can retrieve it using minikube ip command.
You can also use minikube service redis-service --url command to get the url to access your application through node port.
For anybody who's interested in the question, I found the problem. After Ijaz's fix, I also needed to change the selector to match the label in the pod, it was a typo on my end!
pod has "app=my-redis" tag, but Service selector had "name=my-redis". Matching them fixed the access problem.
Dont need the hostPort:
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: my-redis
spec:
selector:
matchLabels:
app: my-redis
replicas: 1
template:
metadata:
labels:
app: my-redis
spec:
containers:
- name: my-redis
image: redis
ports:
- name: redisport1
containerPort: 6379
---
apiVersion: v1
kind: Service
metadata:
name: redis-service
labels:
app: my-redis
spec:
type: NodePort
selector:
name: my-redis
ports:
- name: redisport1
port: 6379
targetPort: 6379
nodePort: 30036
protocol: TCP
now the nodePort 30036 can be used to access the service on any worker node.
If the cluster node is somewhere else and you want to make the port available on you local client , then just do kubectl port forward
kubectl port-forward svc/redis-service 6379:6379
https://kubernetes.io/docs/tasks/access-application-cluster/port-forward-access-application-cluster/
Notes:
On-prem installs of k8s dont support service type of load balancer
ClusterIP is the IP on the pod network
Node IP is the IP of some machine that is running the k8s cluster