Issue with install ingress-nginx on Window (Not minikube) - docker

I'm using Window and learning Kubernetes, I'm trying to install ingress-nginx by running this command
kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v0.35.0/deploy/static/provider/cloud/deploy.yaml.
It didn't work at 1st, so I copied the yaml file locally and run "kubectl apply -f" on that local file but then I got this
unable to recognize "ingress.yaml": Get https://kubernetes.docker.internal:6443/api?timeout=32s: dial tcp 127.0.0.1:6443: connectex: No connection could be made because the target machine actively refused it.
Please help me (I don't use minikube)

This is the issue with kubectl itself that doesn't see your ~/.kube/config.
Most probably you will see nothing if run
kubectl config view
apiVersion: v1
clusters: []
contexts: []
current-context: ""
kind: Config
preferences: {}
users: []
Make sure KUBECONFIG looks to your config file(~/.kube/config)
You mat also want to visit Trouble installing applications in Kubernetes github issue for more information

Related

kubectl expose deployment hello-minikube --type=NodePort not working

kubectl is installed correctly but the expose does not work what am I missing here ?
shivam#shivam-SVS151290X:~$ cat ~/.kube/config
apiVersion: v1
clusters:
- cluster:
certificate-authority: /home/shivam/.minikube/ca.crt
server: https://192.168.99.100:8443
name: minikube
contexts:
- context:
cluster: minikube
user: minikube
name: minikube
current-context: minikube
kind: Config
preferences: {}
users:
- name: minikube
user:
client-certificate: /home/shivam/.minikube/profiles/minikube/client.crt
client-key: /home/shivam/.minikube/profiles/minikube/client.key
shivam#shivam-SVS151290X:~$ kubectl
kubectl controls the Kubernetes cluster manager.
Find more information at:
https://kubernetes.io/docs/reference/kubectl/overview/
Basic Commands (Beginner):
create Create a resource from a file or from stdin.
expose Take a replication controller, service, deployment or pod and
expose it as a new Kubernetes Service
run Run a particular image on the cluster
set Set specific features on objects
Basic Commands (Intermediate):
explain Documentation of resources
get Display one or many resources
edit Edit a resource on the server
delete Delete resources by filenames, stdin, resources and names, or by
resources and label selector
Deploy Commands:
rollout Manage the rollout of a resource
scale Set a new size for a Deployment, ReplicaSet or Replication
Controller
autoscale Auto-scale a Deployment, ReplicaSet, or ReplicationController
Cluster Management Commands:
certificate Modify certificate resources.
cluster-info Display cluster info
top Display Resource (CPU/Memory/Storage) usage.
cordon Mark node as unschedulable
uncordon Mark node as schedulable
drain Drain node in preparation for maintenance
taint Update the taints on one or more nodes
Troubleshooting and Debugging Commands:
describe Show details of a specific resource or group of resources
logs Print the logs for a container in a pod
attach Attach to a running container
exec Execute a command in a container
port-forward Forward one or more local ports to a pod
proxy Run a proxy to the Kubernetes API server
cp Copy files and directories to and from containers.
auth Inspect authorization
Advanced Commands:
diff Diff live version against would-be applied version
apply Apply a configuration to a resource by filename or stdin
patch Update field(s) of a resource using strategic merge patch
replace Replace a resource by filename or stdin
wait Experimental: Wait for a specific condition on one or many
resources.
convert Convert config files between different API versions
kustomize Build a kustomization target from a directory or a remote url.
Settings Commands:
label Update the labels on a resource
annotate Update the annotations on a resource
completion Output shell completion code for the specified shell (bash or
zsh)
Other Commands:
alpha Commands for features in alpha
api-resources Print the supported API resources on the server
api-versions Print the supported API versions on the server, in the form of
"group/version"
config Modify kubeconfig files
plugin Provides utilities for interacting with plugins.
version Print the client and server version information
Usage:
kubectl [flags] [options]
Use "kubectl <command> --help" for more information about a given command.
Use "kubectl options" for a list of global command-line options (applies to all
commands).
shivam#shivam-SVS151290X:~$ **kubectl run hello-minikube --image=gcr.io/google_containers/echoserver:1.4 --port=8080**
Error from server (AlreadyExists): pods "**hello-minikube" already exists**
shivam#shivam-SVS151290X:~$ kubectl expose deployment hello-minikube --type=NodePort
Error from server (NotFound): deployments.apps "**hello-minikube" not found**
shivam#shivam-SVS151290X:~$

Kubernetes can not find the server via clean installation

I have been trying to learn Kubernetes with Docker to run containers and manage them with Kubernetes.
I use this web-page for installations: https://kubernetes.io/docs/tasks/tools/install-kubectl/
I have my own Debian/Linux server machine that I want to build and configure Kubernetes.
After following the kubectl installation steps, I get an error like:
Client Version: version.Info{Major:"1", Minor:"16", GitVersion:"v1.16.3", GitCommit:"b3cbbae08ec52a7fc73d334838e18d17e8512749", GitTreeState:"clean", BuildDate:"2019-11-13T11:23:11Z", GoVersion:"go1.12.12", Compiler:"gc", Platform:"linux/amd64"}
Error from server (NotFound): the server could not find the requested resource
kubectl version --short:
Client Version: v1.16.3
Error from server (NotFound): the server could not find the requested resource
microk8s.kubectl version --short:
Client Version: v1.16.3
Server Version: v1.16.3
I have tried the local microk8s and used as microk8s.kubectl and with that installation, I was able to configure and even make the container work. However, the regular kubectl can not find the server. These two have different installations and different names, folders etc. I assume that one will not break or have any impact on the other one.
Edit: Based on the suggestion of Suresh, I did kubectl config view and the result is:
apiVersion: v1
clusters: []
contexts: []
current-context: ""
kind: Config
preferences: {}
users: []
Does anyone have any idea how to solve this problem?
microk8s.kubectl config view --raw > $HOME/.kube/config
If you already have kubectl installed and you want to use it to access the microk8s deployment you can export the cluster's config with accessing-kubernetes on microk8s
Microk8s put the kubeconfig file at different location.
To avoid colliding with a kubectl already installed and to avoid overwriting any existing Kubernetes configuration file, microk8s adds a microk8s.kubectl command, configured to exclusively access the new microk8s install. When following instructions online, make sure to prefix kubectl with microk8s.
microk8s.kubectl get nodes
microk8s.kubectl get services

Local kubernetes Hello World in nodejs with Docker

I've been following tutorial videos and trying to understand to build a small minimalistic application. The videos I followed are pulling containers from the registries while I'm trying to test, build and deploy everything locally at the moment if possible. Here's my setup.
I've the latest docker installed with Kubernetes enabled on mac OS.
A helloworld NodeJS application running with Docker and Docker Compose
TODO: I'd like to be able to start my instances, let's say 3 in the kubernetes cluster
Dockerfile
FROM node:alpine
COPY package.json package.json
RUN npm install
COPY . .
CMD ["npm", "start"]
docker-compose.yml
version: '3'
services:
user:
container_name: users
build:
context: ./user
dockerfile: Dockerfile
Creating a deployment file with the help of this tutorial and it may have problems since I'm merging information both from youtube as well as the web link.
Creating a miminalistic yml file for to be able to get up and running, will study other aspects like readiness and liveness later.
apiVersion: v1
kind: Service
metadata:
name: user
spec:
selector:
app: user
ports:
- port: 8080
type: NodePort
Please review the above yml file for correctness, so the question is what do I do next?
The snippets you provide are regrettably insufficient but you have the basics.
I had a Google for you for a tutorial and -- unfortunately -- nothing obvious jumped out. That doesn't mean that there isn't one, just that I didn't find it.
You've got the right idea and there are quite a few levels of technology to understand but, I commend your approach and think we can get you there.
Let's start with a helloworld Node.JS tutorial
https://nodejs.org/en/docs/guides/getting-started-guide/
Then you want to containerize this
https://nodejs.org/de/docs/guides/nodejs-docker-webapp/
For #3 below, the last step here is:
docker build --tag=<your username>/node-web-app .
But, because you're using Kubernetes, you'll want to push this image to a public repo. This is so that, regardless of where your cluster runs, it will be able to access the container image.
Since the example uses DockerHub, let's continue using that:
docker push <your username>/node-web-app
NB There's an implicit https://docker.io/<your username>/node-web-app:latest here
Then you'll need a Kubernetes cluster into which you can deploy your app
I think microk8s is excellent
I'm a former Googler but Kubernetes Engine is the benchmark (requires $$$)
Big fan of DigitalOcean too and it has Kubernetes (also $$$)
My advice is (except microk8s and minikube) don't ever run your own Kubernetes clusters; leave it to a cloud provider.
Now that you have all the pieces, I recommend you just:
kubectl run yourapp \
--image=<your username>/node-web-app:latest \
--port=8080 \
--replicas=1
I believe kubectl run is deprecated but use it anyway. It will create a Kubernetes Deployment (!) for you with 1 Pod (==replica). Feel free to adjust that value (perhaps --replicas=2) if you wish.
Once you've created a Deployment, you'll want to create a Service to make your app accessible (top of my head) this command is:
kubectl expose deployment/yourapp --type=NodePort
Now you can query the service:
kubectl get services/yourapp
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
yourapp NodePort 10.152.183.27 <none> 80:32261/TCP 7s
NB The NodePort that's been assigned (in this case!) is :32261 and so I can then interact with the app using curl http://localhost:32261 (localhost because I'm using microk8s).
kubectl is powerful. Another way to determine the NodePort is:
kubectl get service/yourapp \
--output=jsonpath="{.spec.ports[0].nodePort}"
The advantage of the approach of starting from kubectl run is you can then easily determine the Kubernetes configuration that is needed to recreate this Deployment|Service by:
kubectl get deployment/yourapp \
--format=yaml \
> ./yourapp.deployment.yaml
kubectl get service/yourapp \
--format=yaml \
> ./yourapp.service.yaml
These commands will interrogate the cluster, retrieve the configuration for you and pump it into the files. It will include some instance data too but the gist of it shows you what you would need to recreate the deployment. You will need to edit this file.
But, you can test this by first deleting the deployment and the service and then recreating it from the configuration:
kubectl delete deployment/yourapp
kubectl delete service/yourapp
kubectl apply --filename=./yourapp.deployment.yaml
kubectl apply --filename=./yourapp.service.yaml
NB You'll often see multiple resource configurations merged into a single YAML file. This is perfectly valid YAML but you only ever see it used by Kubernetes. The format is:
...
some: yaml
---
...
some: yaml
---
Using this you could merge the yourapp.deployment.yaml and yourapp.service.yaml into a single Kubernetes configuration.

kubernetes can't pull image from private docker registry

to reproduce this case, i follow those tutorials first:
DOCKER - part
part 1
part 2
part 3
part 4
( ... All those parts was done on a ubuntu 18 virtual machine ... )
After those tutorials, this is the result:
Here you can see all the step in order to make it works on my local machine (mac os - Mojave)
KUBERNETES - part
I follow this tutorial:
part 1
And you will see the error on the next image:
All those steps are don on my local machine (mac os - Mojave)
I don't know what is the problem.
I don't know how to solve this
Can somebody help me with this, please?
I really want to understand this
Really thanks
You want to pull it from local repo which is not https, add configuration to allow pull from insecure repository. find docker.conf file which for me is in this path /etc/systemd/system/docker.service.d/docker.conf and add below line
[Service]
ExecStart=/usr/bin/dockerd -H fd:// --insecure-egistry=<repo-address>:<port>
I think that issue is caused because your did not add your dockerserver as secure registry.
You should add your registry to daemon.json file.
You have to create or modify /etc/docker/daemon.json on the machine.
$ sudo vi /etc/docker/daemon.json (you can use nano or other text editor)
Inside the file you have to add your repository. It should looks like
{
"insecure-registries" : ["mydockerserver.com:5000"]
}
After this change you must restart docker daemon using
$ sudo service docker restart
Also in your yaml you should use:
...
image: mydockerserver.com:5000/test-julie-image:latest
...
Please let me know if that helped.
This may be a bit old but I ran into this post searching for the same solutions. The link below is what worked for me:
https://kind.sigs.k8s.io/docs/user/local-registry/
When reading the script pay close attention to the code below:
# create a cluster with the local registry enabled in containerd
cat <<EOF | kind create cluster --config=-
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
containerdConfigPatches:
- |-
[plugins."io.containerd.grpc.v1.cri".registry.mirrors."localhost:${reg_port}"]
endpoint = ["http://${reg_name}:${reg_port}"]
EOF
AND
# Document the local registry
# https://github.com/kubernetes/enhancements/tree/master/keps/sig-cluster-lifecycle/generic/1755-communicating-a-local-registry
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: ConfigMap
metadata:
name: local-registry-hosting
namespace: kube-public
data:
localRegistryHosting.v1: |
host: "localhost:${reg_port}"
help: "https://kind.sigs.k8s.io/docs/user/local-registry/"
EOF
Even if you aren't using "kind," and you have installed a local custom solutions this code above should provide some insights or guidance.

how to deploy Kubernetes nginx controller with kubeadm (k8s 1.4)?

AWS + Kubeadm (k8s 1.4)
I tried following the README at:
https://github.com/kubernetes/contrib/tree/master/ingress/controllers/nginx
but that doesnt seem to work. I asked around in slack, and it seems the yamls are out-dated, which i had to modify as such
first i deployed default-http-backend using yaml found on git:
https://github.com/kubernetes/contrib/blob/master/ingress/controllers/nginx/examples/default-backend.yaml
Next, the ingress-RC i had to modify:
https://gist.github.com/lilnate22/5188374
(note the change to get path to healthz to reflect default-backend as well as the port change to 10254 which is apparently needed according to slack)
Everything is running fine
kubectl get pods i see the ingress-controller
kubectl get rc i see 1 1 1 for the ingress-rc
i then deploy the simple echoheaders application (according to git readme):
kubectl run echoheaders --image=gcr.io/google_containers/echoserver:1.4 --replicas=1 --port=8080
kubectl expose deployment echoheaders --port=80 --target-port=8080 --name=echoheaders-x
next i created a simple ingress :
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: test-ingress
spec:
backend:
serviceName: echoheaders-x
servicePort: 80
both get ing and describe ing gives be a good sign:
Name: test-ingress
Namespace: default
Address: 172.30.2.86 <---this is my private ip
Default backend: echoheaders-x:80 (10.38.0.2:8080)
Rules:
Host Path Backends
---- ---- --------
* * echoheaders-x:80 (10.38.0.2:8080)
but attempting to go to nodes public ip doesnt seem to work, as i am getting "unable to reach server`
Unfortunately it seems that using ingress controllers with Kubernetes clusters set up using kubeadm doesn't is not supported at the moment.
The reason for this is that the ingress controllers specify a hostPort in order to become available on the public IP of the node, but the cluster created by kubeadm uses the CNI network plugin which does not support hostPort at the moment.
You may have better luck picking a different way to set up the cluster which does not use CNI.
Alternatively, you can edit your ingress-rc.yaml to declare "hostNetwork: true" under the "spec:" section. Specifying hostNetwork will cause the containers to run using the host's network namespace, giving them access to the network interfaces, routing tables and iptables rules of the host. Think of this as equivalent to "docker run" with the option --network="host".
Ok for all those that came here wondering the same thing..here is how i solved it.
PRECURSOR: the documentation is ambiguous such that reading the docs, i was under the impression, that running through the README would allow me to visit http://{MY_MASTER_IP} and get to my services...this is not true.
in order to get ingress_controller, I had to create a service for ingress-controller, and then expose that service via nodePort. this allowed me to access the services (in the case of README, echoheaders) via http://{MASTER_IP}: {NODEPORT}
there is an "issue" with nodePort that you get a random port#, which somewhat defeats the purpose of ingress... to solve that i did the following:
First: I needed to edit kube-api to allow a lower nodePort IP.
vi /etc/kubernetes/manifests/kube-apiserver.json
then in the kube-api containers arguments section add: "--service-node-port-range=80-32767",
this will allow nodePort to be from 80-32767.
** NOTE: i would probably not recommend this for production...**
Next, i did kubectl edit svc nginx-ingress-controller and manually edited nodePort to port 80.
this way, i can go to {MY_MASTER_IP} and get to echoheaders.
now what i am able to do is, have different Domains pointed to {MY_MASTER_IP} and based on host (similar to README)
you can just use the image nginxdemos/nginx-ingress:0.3.1 ,you need not build yourself
#nate's answer is right
https://kubernetes.github.io/ingress-nginx/deploy/baremetal/#over-a-nodeport-service
has a bit more details.
They do not recommend setting the service's node port range though
This question is the first in the search results of Google, I will add my solution.
kubeadm v1.18.12
helm v3.4.1
Yes, the easiest way is to use helm. Also I use standard ingress https://github.com/kubernetes/ingress-nginx
Add the repository
helm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx
Install ingress
helm install ingress --namespace ingress --create-namespace --set rbac.create=true,controller.kind=DaemonSet,controller.service.type=ClusterIP,controller.hostNetwork=true ingress-nginx/ingress-nginx
Daedmonset makes ingress readily available on every node in your cluster.
hostNetwork=true specify uses the node public IP address.
After that, you need to configure the rules for ingress and set the necessary DNS records.

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