Youtube channel !

Be sure to visit my youtube channel

Tuesday, May 19, 2020

Kubernetes in Ubuntu - Ingress

(part of the Kubernetes course):

microk8s.kubectl get all --all-namespaces
// enable registry
microk8s.enable registry
//check /etc/hosts
//enable usage of secure registry in /etc/docker/daemon.conf
// enable dns
microk8s.enable dns
// enable ingress service/controller
microk8s.enable ingress
// verify if it is running
microk8s.kubectl get pods --all-namespaces
// microk8s.kubectl describe  pod  nginx-ingress-microk8s-controller-pn82q  -n ingress
create 2 deployments with different names each pointing to different app version
docker build -t localhost:32000/php_app:v1 .
docker build -t localhost:32000/php_app:v2 .
push the images into registry
docker push localhost:32000/php_app:v1
docker push localhost:32000/php_app:v2
apply the 2 deployments
microk8s.kubectl apply -f deployment_web1.yaml
microk8s.kubectl apply -f deployment_web2.yaml
apply 2 services to expose the deployments
microk8s.kubectl apply -f service_web1.yaml
check if they have valid endpoints:
microk8s.kubectl get ep
microk8s.kubectl get pods -o wide
create ingress resource:
microk8s.kubectl apply -f ingress.yaml
check the ingress1: microk8s.kubectl get ingress
check the ingress2: microk8s.kubectl logs -n ingress daemonset.apps/nginx-ingress-microk8s-controller
set /etc/hosts to point localhost to the ingress address.

No comments:

Subscribe To My Channel for updates

Integrating AI code helpers into Visual Studio Code

In this guide, we’ll walk through setting up a local AI-powered coding assistant within Visual Studio Code (VS Code). By leveraging tools s...