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Connect a Front End to a Back End Using a Service
This task shows how to create a frontend and a backend microservice. The backend microservice is a hello greeter. The frontend and backend are connected using a Kubernetes ServiceA way to expose an application running on a set of Pods as a network service. object.
Objectives
- Create and run a microservice using a DeploymentManages a replicated application on your cluster. object.
- Route traffic to the backend using a frontend.
- Use a Service object to connect the frontend application to the backend application.
Before you begin
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube, or you can use one of these Kubernetes playgrounds:
To check the version, enterkubectl version
.This task uses Services with external load balancers, which require a supported environment. If your environment does not support this, you can use a Service of type NodePort instead.
Creating the backend using a Deployment
The backend is a simple hello greeter microservice. Here is the configuration file for the backend Deployment:
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello
spec:
selector:
matchLabels:
app: hello
tier: backend
track: stable
replicas: 7
template:
metadata:
labels:
app: hello
tier: backend
track: stable
spec:
containers:
- name: hello
image: "gcr.io/google-samples/hello-go-gke:1.0"
ports:
- name: http
containerPort: 80
Create the backend Deployment:
kubectl apply -f https://k8s.io/examples/service/access/hello.yaml
View information about the backend Deployment:
kubectl describe deployment hello
The output is similar to this:
Name: hello
Namespace: default
CreationTimestamp: Mon, 24 Oct 2016 14:21:02 -0700
Labels: app=hello
tier=backend
track=stable
Annotations: deployment.kubernetes.io/revision=1
Selector: app=hello,tier=backend,track=stable
Replicas: 7 desired | 7 updated | 7 total | 7 available | 0 unavailable
StrategyType: RollingUpdate
MinReadySeconds: 0
RollingUpdateStrategy: 1 max unavailable, 1 max surge
Pod Template:
Labels: app=hello
tier=backend
track=stable
Containers:
hello:
Image: "gcr.io/google-samples/hello-go-gke:1.0"
Port: 80/TCP
Environment: <none>
Mounts: <none>
Volumes: <none>
Conditions:
Type Status Reason
---- ------ ------
Available True MinimumReplicasAvailable
Progressing True NewReplicaSetAvailable
OldReplicaSets: <none>
NewReplicaSet: hello-3621623197 (7/7 replicas created)
Events:
...
Creating the backend Service object
The key to connecting a frontend to a backend is the backend Service. A Service creates a persistent IP address and DNS name entry so that the backend microservice can always be reached. A Service uses selectorsAllows users to filter a list of resources based on labels. to find the Pods that it routes traffic to.
First, explore the Service configuration file:
apiVersion: v1
kind: Service
metadata:
name: hello
spec:
selector:
app: hello
tier: backend
ports:
- protocol: TCP
port: 80
targetPort: http
In the configuration file, you can see that the Service routes traffic to Pods
that have the labels app: hello
and tier: backend
.
Create the hello
Service:
kubectl apply -f https://k8s.io/examples/service/access/hello-service.yaml
At this point, you have a backend Deployment running, and you have a Service that can route traffic to it.
Creating the frontend
Now that you have your backend, you can create a frontend that connects to the backend.
The frontend connects to the backend worker Pods by using the DNS name
given to the backend Service. The DNS name is "hello", which is the value
of the name
field in the preceding Service configuration file.
The Pods in the frontend Deployment run an nginx image that is configured to find the hello backend Service. Here is the nginx configuration file:
upstream hello {
server hello;
}
server {
listen 80;
location / {
proxy_pass http://hello;
}
}
Similar to the backend, the frontend has a Deployment and a Service. The
configuration for the Service has type: LoadBalancer
, which means that
the Service uses the default load balancer of your cloud provider.
apiVersion: v1
kind: Service
metadata:
name: frontend
spec:
selector:
app: hello
tier: frontend
ports:
- protocol: "TCP"
port: 80
targetPort: 80
type: LoadBalancer
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: frontend
spec:
selector:
matchLabels:
app: hello
tier: frontend
track: stable
replicas: 1
template:
metadata:
labels:
app: hello
tier: frontend
track: stable
spec:
containers:
- name: nginx
image: "gcr.io/google-samples/hello-frontend:1.0"
lifecycle:
preStop:
exec:
command: ["/usr/sbin/nginx","-s","quit"]
Create the frontend Deployment and Service:
kubectl apply -f https://k8s.io/examples/service/access/frontend.yaml
The output verifies that both resources were created:
deployment.apps/frontend created
service/frontend created
Note: The nginx configuration is baked into the container image. A better way to do this would be to use a ConfigMap, so that you can change the configuration more easily.
Interact with the frontend Service
Once you’ve created a Service of type LoadBalancer, you can use this command to find the external IP:
kubectl get service frontend --watch
This displays the configuration for the frontend
Service and watches for
changes. Initially, the external IP is listed as <pending>
:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
frontend LoadBalancer 10.51.252.116 <pending> 80/TCP 10s
As soon as an external IP is provisioned, however, the configuration updates
to include the new IP under the EXTERNAL-IP
heading:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
frontend LoadBalancer 10.51.252.116 XXX.XXX.XXX.XXX 80/TCP 1m
That IP can now be used to interact with the frontend
service from outside the
cluster.
Send traffic through the frontend
The frontend and backends are now connected. You can hit the endpoint by using the curl command on the external IP of your frontend Service.
curl http://${EXTERNAL_IP} # replace this with the EXTERNAL-IP you saw earlier
The output shows the message generated by the backend:
{"message":"Hello"}
Cleaning up
To delete the Services, enter this command:
kubectl delete services frontend hello
To delete the Deployments, the ReplicaSets and the Pods that are running the backend and frontend applications, enter this command:
kubectl delete deployment frontend hello
What's next
- Learn more about Services
- Learn more about ConfigMaps