vagrant up
vagrant ssh
First, install docker, then:
-
Installing Kubernetes...
curl -Lo kubectl https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/linux/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin/ -
Installing Minikube...
curl -Lo minikube https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
Arrancamos nuestro Kubernetes:
minikube start
eval $(minikube docker-env)
kubectl config use-context minikube
Podemos verlo en el navegador con:
minikube dashboard
Creamos la imagen de nuestros proyectos:
cd oauth/
docker build -t oauth-python:v1 .
cd ../template/
docker build -t colors-python:v1 .
Podemos testear nuestra imagen con:
docker run -d -p 8000:8000 oauth-python
Testear nuestro stack con zipkin
docker run -d -p 9411:9411 openzipkin/zipkin
Testear nuestro stack con Kibana PRECAUCIÓN! Kibana consume muchísimo. Puede dejarte minikube tostado
docker run -d --name my-elasticsearch -p 9300:9300 -p 9200:9200 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.2.2
docker run -d --link my-elasticsearch:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:6.2.2
Ver resultados de elasticsearch en:
http://192.168.99.100:9200/my_python_index-2018.03.11/_search?pretty=true&q=*:*
kubectl create -f backend.yaml
kubectl create -f frontend.yaml
minikube service colors
Creamos los pods en kubernetes
kubectl run colors --image=colors-python:v4 --port=5000
kubectl run oauth --image=oauth-python:v1 --port=5000
Exponemos los pods
$ kubectl expose deployment colors --type=LoadBalancer
$ kubectl expose deployment oauth
$ kubectl get services
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
colors-python LoadBalancer 10.100.83.27 <pending> 5000:32283/TCP 7s
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 30m
minikube service colors
Update the image of your Deployment:
kubectl set image deployment/colors colors-python=colors-python:v4
kubectl set image deployment/oauth oauth-python=oauth-python:v4
Now you can clean up the resources you created in your cluster:
kubectl delete service colors
kubectl delete service oauth
kubectl delete deployment colors
kubectl delete deployment oauth
Optionally, force removal of the Docker images created:
docker rmi colors-python:v1 oauth-python:v1 -f
Optionally, stop the Minikube VM:
minikube stop
eval $(minikube docker-env -u)
Optionally, delete the Minikube VM:
minikube delete