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2-2. Kubernetes Fundamentals - Services and Ingress

ยท 11 min read
Paul Yu

Welcome to Day 2 of Week 2 of #CloudNativeNewYear!

The theme for this week is #Kubernetes fundamentals. Yesterday we talked about how to deploy a containerized web app workload to Azure Kubernetes Service (AKS). Today we'll explore the topic of services and ingress and walk through the steps of making our containers accessible both internally as well as over the internet so that you can share it with the world ๐Ÿ˜Š

Ask the Experts Thursday, February 9th at 9 AM PST
Catch the Replay of the Live Demo

Watch the recorded demo and conversation about this week's topics.

We were live on YouTube walking through today's (and the rest of this week's) demos.

What We'll Coverโ€‹

  • Exposing Pods via Service
  • Exposing Services via Ingress
  • Takeaways
  • Resources

Exposing Pods via Serviceโ€‹

There are a few ways to expose your pod in Kubernetes. One way is to take an imperative approach and use the kubectl expose command. This is probably the quickest way to achieve your goal but it isn't the best way. A better way to expose your pod by taking a declarative approach by creating a services manifest file and deploying it using the kubectl apply command.

Don't worry if you are unsure of how to make this manifest, we'll use kubectl to help generate it.

First, let's ensure we have the database deployed on our AKS cluster.

๐Ÿ“ NOTE: If you don't have an AKS cluster deployed, please head over to Azure-Samples/azure-voting-app-rust, clone the repo, and follow the instructions in the README.md to execute the Azure deployment and setup your kubectl context. Check out the first post this week for more on the environment setup.

kubectl apply -f ./manifests/deployment-db.yaml

Next, let's deploy the application. If you are following along from yesterday's content, there isn't anything you need to change; however, if you are deploy the app from scratch, you'll need to modify the deployment-app.yaml manifest and update it with your image tag and database pod's IP address.

kubectl apply -f ./manifests/deployment-app.yaml

Now, let's expose the database using a service so that we can leverage Kubernetes' built-in service discovery to be able to reference it by name; not pod IP. Run the following command.

kubectl expose deployment azure-voting-db \
--port=5432 \
--target-port=5432

With the database exposed using service, we can update the app deployment manifest to use the service name instead of pod IP. This way, if the pod ever gets assigned a new IP, we don't have to worry about updating the IP each time and redeploying our web application. Kubernetes has internal service discovery mechanism in place that allows us to reference a service by its name.

Let's make an update to the manifest. Replace the environment variable for DATABASE_SERVER with the following:

- name: DATABASE_SERVER
value: azure-voting-db

Re-deploy the app with the updated configuration.

kubectl apply -f ./manifests/deployment-app.yaml

One service down, one to go. Run the following command to expose the web application.

kubectl expose deployment azure-voting-app \
--type=LoadBalancer \
--port=80 \
--target-port=8080

Notice the --type argument has a value of LoadBalancer. This service type is implemented by the cloud-controller-manager which is part of the Kubernetes control plane. When using a managed Kubernetes cluster such as Azure Kubernetes Service, a public standard load balancer will be able to provisioned when the service type is set to LoadBalancer. The load balancer will also have a public IP assigned which will make your deployment publicly available.

Kubernetes supports four service types:

  • ClusterIP: this is the default and limits service access to internal traffic within the cluster
  • NodePort: this assigns a port mapping on the node's IP address and allows traffic from the virtual network (outside the cluster)
  • LoadBalancer: as mentioned above, this creates a cloud-based load balancer
  • ExternalName: this is used in special case scenarios where you want to map a service to an external DNS name

๐Ÿ“ NOTE: When exposing a web application to the internet, allowing external users to connect to your Service directly is not the best approach. Instead, you should use an Ingress, which we'll cover in the next section.

Now, let's confirm you can reach the web app from the internet. You can use the following command to print the URL to your terminal.

echo "http://$(kubectl get service azure-voting-app -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"

Great! The kubectl expose command gets the job done, but as mentioned above, it is not the best method of exposing deployments. It is better to expose deployments declaratively using a service manifest, so let's delete the services and redeploy using manifests.

kubectl delete service azure-voting-db azure-voting-app

To use kubectl to generate our manifest file, we can use the same kubectl expose command that we ran earlier but this time, we'll include --output=yaml and --dry-run=client. This will instruct the command to output the manifest that would be sent to the kube-api server in YAML format to the terminal.

Generate the manifest for the database service.

kubectl expose deployment azure-voting-db \
--type=ClusterIP \
--port=5432 \
--target-port=5432 \
--output=yaml \
--dry-run=client > ./manifests/service-db.yaml

Generate the manifest for the application service.

kubectl expose deployment azure-voting-app \
--type=LoadBalancer \
--port=80 \
--target-port=8080 \
--output=yaml \
--dry-run=client > ./manifests/service-app.yaml

The command above redirected the YAML output to your manifests directory. Here is what the web application service looks like.

apiVersion: v1
kind: Service
metadata:
creationTimestamp: null
labels:
app: azure-voting-app
name: azure-voting-app
spec:
ports:
- port: 80
protocol: TCP
targetPort: 8080
selector:
app: azure-voting-app
type: LoadBalancer
status:
loadBalancer: {}

๐Ÿ’ก TIP: To view the schema of any api-resource in Kubernetes, you can use the kubectl explain command. In this case the kubectl explain service command will tell us exactly what each of these fields do.

Re-deploy the services using the new service manifests.

kubectl apply -f ./manifests/service-db.yaml -f ./manifests/service-app.yaml

# You should see TYPE is set to LoadBalancer and the EXTERNAL-IP is set
kubectl get service azure-voting-db azure-voting-app

Confirm again that our application is accessible again. Run the following command to print the URL to the terminal.

echo "http://$(kubectl get service azure-voting-app -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"

That was easy, right? We just exposed both of our pods using Kubernetes services. The database only needs to be accessible from within the cluster so ClusterIP is perfect for that. For the web application, we specified the type to be LoadBalancer so that we can access the application over the public internet.

But wait... remember that if you want to expose web applications over the public internet, a Service with a public IP is not the best way; the better approach is to use an Ingress resource.

Exposing Services via Ingressโ€‹

If you read through the Kubernetes documentation on Ingress you will see a diagram that depicts the Ingress sitting in front of the Service resource with a routing rule between it. In order to use Ingress, you need to deploy an Ingress Controller and it can be configured with many routing rules to forward traffic to one or many backend services. So effectively, an Ingress is a load balancer for your Services.

With that said, we no longer need a service type of LoadBalancer since the service does not need to be accessible from the internet. It only needs to be accessible from the Ingress Controller (internal to the cluster) so we can change the service type to ClusterIP.

Update your service.yaml file to look like this:

apiVersion: v1
kind: Service
metadata:
creationTimestamp: null
labels:
app: azure-voting-app
name: azure-voting-app
spec:
ports:
- port: 80
protocol: TCP
targetPort: 8080
selector:
app: azure-voting-app

๐Ÿ“ NOTE: The default service type is ClusterIP so we can omit the type altogether.

Re-apply the app service manifest.

kubectl apply -f ./manifests/service-app.yaml

# You should see TYPE set to ClusterIP and EXTERNAL-IP set to <none>
kubectl get service azure-voting-app

Next, we need to install an Ingress Controller. There are quite a few options, and the Kubernetes-maintained NGINX Ingress Controller is commonly deployed.

You could install this manually by following these instructions, but if you do that you'll be responsible for maintaining and supporting the resource.

I like to take advantage of free maintenance and support when I can get it, so I'll opt to use the Web Application Routing add-on for AKS.

๐Ÿ’ก TIP: Whenever you install an AKS add-on, it will be maintained and fully supported by Azure Support.

Enable the web application routing add-on in our AKS cluster with the following command.

az aks addon enable \
--name <YOUR_AKS_NAME> \
--resource-group <YOUR_AKS_RESOURCE_GROUP>
--addon web_application_routing

โš ๏ธ WARNING: This command can take a few minutes to complete

Now, let's use the same approach we took in creating our service to create our Ingress resource. Run the following command to generate the Ingress manifest.

kubectl create ingress azure-voting-app \
--class=webapprouting.kubernetes.azure.com \
--rule="/*=azure-voting-app:80" \
--output yaml \
--dry-run=client > ./manifests/ingress.yaml

The --class=webapprouting.kubernetes.azure.com option activates the AKS web application routing add-on. This AKS add-on can also integrate with other Azure services such as Azure DNS and Azure Key Vault for TLS certificate management and this special class makes it all work.

The --rule="/*=azure-voting-app:80" option looks confusing but we can use kubectl again to help us understand how to format the value for the option.

kubectl create ingress --help

In the output you will see the following:

--rule=[]:
Rule in format host/path=service:port[,tls=secretname]. Paths containing the leading character '*' are
considered pathType=Prefix. tls argument is optional.

It expects a host and path separated by a forward-slash, then expects the backend service name and port separated by a colon. We're not using a hostname for this demo so we can omit it. For the path, an asterisk is used to specify a wildcard path prefix.

So, the value of /*=azure-voting-app:80 creates a routing rule for all paths following the domain (or in our case since we don't have a hostname specified, the IP) to route traffic to our azure-voting-app backend service on port 80.

๐Ÿ“ NOTE: Configuring the hostname and TLS is outside the scope of this demo but please visit this URL https://bit.ly/aks-webapp-routing for an in-depth hands-on lab centered around Web Application Routing on AKS.

Your ingress.yaml file should look like this:

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
creationTimestamp: null
name: azure-voting-app
spec:
ingressClassName: webapprouting.kubernetes.azure.com
rules:
- http:
paths:
- backend:
service:
name: azure-voting-app
port:
number: 80
path: /
pathType: Prefix
status:
loadBalancer: {}

Apply the app ingress manifest.

kubectl apply -f ./manifests/ingress.yaml

Validate the web application is available from the internet again. You can run the following command to print the URL to the terminal.

echo "http://$(kubectl get ingress azure-voting-app -o jsonpath='{.status.loadBalancer.ingress[0].ip}')"

Takeawaysโ€‹

Exposing your applications both internally and externally can be easily achieved using Service and Ingress resources respectively. If your service is HTTP or HTTPS based and needs to be accessible from outsie the cluster, use Ingress with an internal Service (i.e., ClusterIP or NodePort); otherwise, use the Service resource. If your TCP-based Service needs to be publicly accessible, you set the type to LoadBalancer to expose a public IP for it. To learn more about these resources, please visit the links listed below.

Lastly, if you are unsure how to begin writing your service manifest, you can use kubectl and have it do most of the work for you ๐Ÿฅณ

Resourcesโ€‹

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