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title | reviewers | content_type | weight | card | min-kubernetes-server-version | |||||||
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Example: Deploying PHP Guestbook application with MongoDB |
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tutorial | 20 |
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v1.14 |
This tutorial shows you how to build and deploy a simple (not production ready), multi-tier web application using Kubernetes and Docker. This example consists of the following components:
- A single-instance MongoDB to store guestbook entries
- Multiple web frontend instances
{{% heading "objectives" %}}
- Start up a Mongo database.
- Start up the guestbook frontend.
- Expose and view the Frontend Service.
- Clean up.
{{% heading "prerequisites" %}}
{{< include "task-tutorial-prereqs.md" >}}
{{< version-check >}}
Start up the Mongo Database
The guestbook application uses MongoDB to store its data.
Creating the Mongo Deployment
The manifest file, included below, specifies a Deployment controller that runs a single replica MongoDB Pod.
{{< codenew file="application/guestbook/mongo-deployment.yaml" >}}
-
Launch a terminal window in the directory you downloaded the manifest files.
-
Apply the MongoDB Deployment from the
mongo-deployment.yaml
file:kubectl apply -f https://k8s.io/examples/application/guestbook/mongo-deployment.yaml
-
Query the list of Pods to verify that the MongoDB Pod is running:
kubectl get pods
The response should be similar to this:
NAME READY STATUS RESTARTS AGE mongo-5cfd459dd4-lrcjb 1/1 Running 0 28s
-
Run the following command to view the logs from the MongoDB Deployment:
kubectl logs -f deployment/mongo
Creating the MongoDB Service
The guestbook application needs to communicate to the MongoDB to write its data. You need to apply a Service to proxy the traffic to the MongoDB Pod. A Service defines a policy to access the Pods.
{{< codenew file="application/guestbook/mongo-service.yaml" >}}
-
Apply the MongoDB Service from the following
mongo-service.yaml
file:kubectl apply -f https://k8s.io/examples/application/guestbook/mongo-service.yaml
-
Query the list of Services to verify that the MongoDB Service is running:
kubectl get service
The response should be similar to this:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 1m mongo ClusterIP 10.0.0.151 <none> 27017/TCP 8s
{{< note >}}
This manifest file creates a Service named mongo
with a set of labels that match the labels previously defined, so the Service routes network traffic to the MongoDB Pod.
{{< /note >}}
Set up and Expose the Guestbook Frontend
The guestbook application has a web frontend serving the HTTP requests written in PHP. It is configured to connect to the mongo
Service to store Guestbook entries.
Creating the Guestbook Frontend Deployment
{{< codenew file="application/guestbook/frontend-deployment.yaml" >}}
-
Apply the frontend Deployment from the
frontend-deployment.yaml
file:kubectl apply -f https://k8s.io/examples/application/guestbook/frontend-deployment.yaml
-
Query the list of Pods to verify that the three frontend replicas are running:
kubectl get pods -l app.kubernetes.io/name=guestbook -l app.kubernetes.io/component=frontend
The response should be similar to this:
NAME READY STATUS RESTARTS AGE frontend-3823415956-dsvc5 1/1 Running 0 54s frontend-3823415956-k22zn 1/1 Running 0 54s frontend-3823415956-w9gbt 1/1 Running 0 54s
Creating the Frontend Service
The mongo
Services you applied is only accessible within the Kubernetes cluster because the default type for a Service is ClusterIP. ClusterIP
provides a single IP address for the set of Pods the Service is pointing to. This IP address is accessible only within the cluster.
If you want guests to be able to access your guestbook, you must configure the frontend Service to be externally visible, so a client can request the Service from outside the Kubernetes cluster. However a Kubernetes user you can use kubectl port-forward
to access the service even though it uses a ClusterIP
.
{{< note >}}
Some cloud providers, like Google Compute Engine or Google Kubernetes Engine, support external load balancers. If your cloud provider supports load balancers and you want to use it, uncomment type: LoadBalancer
.
{{< /note >}}
{{< codenew file="application/guestbook/frontend-service.yaml" >}}
-
Apply the frontend Service from the
frontend-service.yaml
file:kubectl apply -f https://k8s.io/examples/application/guestbook/frontend-service.yaml
-
Query the list of Services to verify that the frontend Service is running:
kubectl get services
The response should be similar to this:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE frontend ClusterIP 10.0.0.112 <none> 80/TCP 6s kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 4m mongo ClusterIP 10.0.0.151 <none> 6379/TCP 2m
Viewing the Frontend Service via kubectl port-forward
-
Run the following command to forward port
8080
on your local machine to port80
on the service.kubectl port-forward svc/frontend 8080:80
The response should be similar to this:
Forwarding from 127.0.0.1:8080 -> 80 Forwarding from [::1]:8080 -> 80
-
load the page http://localhost:8080 in your browser to view your guestbook.
Viewing the Frontend Service via LoadBalancer
If you deployed the frontend-service.yaml
manifest with type: LoadBalancer
you need to find the IP address to view your Guestbook.
-
Run the following command to get the IP address for the frontend Service.
kubectl get service frontend
The response should be similar to this:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE frontend LoadBalancer 10.51.242.136 109.197.92.229 80:32372/TCP 1m
-
Copy the external IP address, and load the page in your browser to view your guestbook.
Scale the Web Frontend
You can scale up or down as needed because your servers are defined as a Service that uses a Deployment controller.
-
Run the following command to scale up the number of frontend Pods:
kubectl scale deployment frontend --replicas=5
-
Query the list of Pods to verify the number of frontend Pods running:
kubectl get pods
The response should look similar to this:
NAME READY STATUS RESTARTS AGE frontend-3823415956-70qj5 1/1 Running 0 5s frontend-3823415956-dsvc5 1/1 Running 0 54m frontend-3823415956-k22zn 1/1 Running 0 54m frontend-3823415956-w9gbt 1/1 Running 0 54m frontend-3823415956-x2pld 1/1 Running 0 5s mongo-1068406935-3lswp 1/1 Running 0 56m
-
Run the following command to scale down the number of frontend Pods:
kubectl scale deployment frontend --replicas=2
-
Query the list of Pods to verify the number of frontend Pods running:
kubectl get pods
The response should look similar to this:
NAME READY STATUS RESTARTS AGE frontend-3823415956-k22zn 1/1 Running 0 1h frontend-3823415956-w9gbt 1/1 Running 0 1h mongo-1068406935-3lswp 1/1 Running 0 1h
{{% heading "cleanup" %}}
Deleting the Deployments and Services also deletes any running Pods. Use labels to delete multiple resources with one command.
-
Run the following commands to delete all Pods, Deployments, and Services.
kubectl delete deployment -l app.kubernetes.io/name=mongo kubectl delete service -l app.kubernetes.io/name=mongo kubectl delete deployment -l app.kubernetes.io/name=guestbook kubectl delete service -l app.kubernetes.io/name=guestbook
The responses should be:
deployment.apps "mongo" deleted service "mongo" deleted deployment.apps "frontend" deleted service "frontend" deleted
-
Query the list of Pods to verify that no Pods are running:
kubectl get pods
The response should be this:
No resources found.
{{% heading "whatsnext" %}}
- Complete the Kubernetes Basics Interactive Tutorials
- Use Kubernetes to create a blog using Persistent Volumes for MySQL and Wordpress
- Read more about connecting applications
- Read more about Managing Resources