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An Ingress controller, essentially a reverse proxy running within Kubernetes that can be configured using Kubernetes-native resources. The two built-in solutions are GCE and Nginx-based. In order to use the Nginx-based ingress controller on Minikube, you have to enable the extension with minikube addons enable ingress .

Ingress specifications. These are resources just like Pods and Deployments, and contain information on how to map incoming requests to services, serving as configuration for the aforementioned ingress controller.

An Ingress specification for the env-printer-app is included in the sample project repo as ingress.yml . After activating the minikube ingress plugin, you can run kubectl apply -f ingress.yml to create an ingress that maps requests to http://env-printer to the env-printer-app service. In order to test the ingress, you need to first figure out the IP of the minikube VM with minikube ip , and then edit /etc/hosts on your computer, adding the line $IP_ADDRESS env-printer . You should now be able to navigate to http://env-printer in your browser, and see the output of the env-printer-app service.

Once you have a deployment managing a set of pods, there are a couple of things you can do with it to adapt to new conditions. First of these is scaling the set of containers to meet load conditions. One way of achieving this is using the kubectl scale command, as follows:

Alternatively, you can use the kubectl edit deploy env-printer-app command to bring up an editor, and change the spec.replicas field to the required number. If you now run kubectl describe deploy env-printer-app , there should be a new scaling event in the Events section. When the number of replicas is changed, Kubernetes simply creates new pods, or terminates existing ones, without any further complications. It's a different situation when the container spec for a deployment is changed, however. Kubernetes, based on the strategy specified by the user, replaces the pods progressively, to enable a smooth transition from one set of pods to the other. This is called rolling updates .

In order to demo rolling updates, I added another project to the sample Kubernetes services repository, the rollout-app . You can go ahead and create the service by running kubectl apply -f deploy.yml --record in the app's directory, which will create the deployment, the service, and the ingress. The reason for the --record switch will be explained in a couple of paragraphs. If you edit your /etc/hosts file to add http://rollout-app with the minikube IP, you should be able to navigate to this URL and see a big display of the port's hostname.

If you open rollout-app/application.py , you can see two peculiar things there. One is the /healthz endpoint that returns a simple OK message and nothing else, and the other is a time.sleep(5) before the app starts. The purpose of the /healthz endpoint might become clearer if you also look at the deploy.yml in the same directory; this endpoint is registered as a readinessProbe on the deployment. The readiness probe is a part of the pod lifecycle system of Kubernetes. Before this probe is valid (for HTTP probes, it must return a status code between 200 and 400), the new pod is not marked as "ready", and requests will not be routed to it. Due to the sleep of 5 seconds before our application is started, the pods of the rollout-app will not be ready for at least five seconds. Now let's have a look at how this delay interacts with the rolling updates feature of Kubernetes. Once you have deployed the application, change application.py in some minor way, such as adding a newline. Afterwards, create a new docker container with a new tag with docker build -t kubetutorial/rollout-app:v0.0.2 . . Then go ahead and change the Docker image for the rollout-app deployment to the new version with the following command (again with the --record switch which will be explained later):

Science : 1115-1119

The skin microbiota play a selective role in modulating immunity in the skin of mice.

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