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updating tutorial to match source

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Jim Angel 2021-06-17 04:45:11 +00:00
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2
content/en/docs/tutorials/_index.md
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@ -35,7 +35,7 @@ Before walking through each tutorial, you may want to bookmark the
* [Exposing an External IP Address to Access an Application in a Cluster](/docs/tutorials/stateless-application/expose-external-ip-address/) * [Exposing an External IP Address to Access an Application in a Cluster](/docs/tutorials/stateless-application/expose-external-ip-address/)
* [Example: Deploying PHP Guestbook application with MongoDB](/docs/tutorials/stateless-application/guestbook/) * [Example: Deploying PHP Guestbook application with Redis](/docs/tutorials/stateless-application/guestbook/)
## Stateful Applications ## Stateful Applications

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content/en/docs/tutorials/stateless-application/guestbook.md
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@ -1,64 +1,63 @@
--- ---
title: "Example: Deploying PHP Guestbook application with MongoDB" title: "Example: Deploying PHP Guestbook application with Redis"
reviewers: reviewers:
- ahmetb - ahmetb
- jimangel
content_type: tutorial content_type: tutorial
weight: 20 weight: 20
card: card:
name: tutorials name: tutorials
weight: 30 weight: 30
title: "Stateless Example: PHP Guestbook with MongoDB" title: "Stateless Example: PHP Guestbook with Redis"
min-kubernetes-server-version: v1.14 min-kubernetes-server-version: v1.14
source: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
--- ---
<!-- overview --> <!-- overview -->
This tutorial shows you how to build and deploy a simple _(not production ready)_, multi-tier web application using Kubernetes and [Docker](https://www.docker.com/). This example consists of the following components: This tutorial shows you how to build and deploy a simple _(not production ready)_, multi-tier web application using Kubernetes and [Docker](https://www.docker.com/). This example consists of the following components:
* A single-instance [MongoDB](https://www.mongodb.com/) to store guestbook entries * A single-instance [Redis](https://www.redis.com/) to store guestbook entries
* Multiple web frontend instances * Multiple web frontend instances
## {{% heading "objectives" %}} ## {{% heading "objectives" %}}
* Start up a Mongo database. * Start up a Redis leader.
* Start up two Redis followers.
* Start up the guestbook frontend. * Start up the guestbook frontend.
* Expose and view the Frontend Service. * Expose and view the Frontend Service.
* Clean up. * Clean up.
## {{% heading "prerequisites" %}} ## {{% heading "prerequisites" %}}
{{< include "task-tutorial-prereqs.md" >}} {{< include "task-tutorial-prereqs.md" >}}
{{< version-check >}} {{< version-check >}}
<!-- lessoncontent --> <!-- lessoncontent -->
## Start up the Mongo Database ## Start up the Redis Database
The guestbook application uses MongoDB to store its data. The guestbook application uses Redis to store its data.
### Creating the Mongo Deployment ### Creating the Redis Deployment
The manifest file, included below, specifies a Deployment controller that runs a single replica MongoDB Pod. The manifest file, included below, specifies a Deployment controller that runs a single replica Redis Pod.
{{< codenew file="application/guestbook/mongo-deployment.yaml" >}} {{< codenew file="application/guestbook/redis-leader-deployment.yaml" >}}
1. Launch a terminal window in the directory you downloaded the manifest files. 1. Launch a terminal window in the directory you downloaded the manifest files.
1. Apply the MongoDB Deployment from the `mongo-deployment.yaml` file: 1. Apply the Redis Deployment from the `redis-leader-deployment.yaml` file:
<!--- <!---
for local testing of the content via relative file path for local testing of the content via relative file path
kubectl apply -f ./content/en/examples/application/guestbook/mongo-deployment.yaml kubectl apply -f ./content/en/examples/application/guestbook/redis-leader-deployment.yaml
--> -->
```shell ```shell
kubectl apply -f https://k8s.io/examples/application/guestbook/mongo-deployment.yaml kubectl apply -f https://k8s.io/examples/application/guestbook/redis-leader-deployment.yaml
``` ```
1. Query the list of Pods to verify that the MongoDB Pod is running: 1. Query the list of Pods to verify that the Redis Pod is running:
```shell ```shell
kubectl get pods kubectl get pods
@ -67,34 +66,34 @@ The manifest file, included below, specifies a Deployment controller that runs a
The response should be similar to this: The response should be similar to this:
```shell ```shell
NAME READY STATUS RESTARTS AGE NAME READY STATUS RESTARTS AGE
mongo-5cfd459dd4-lrcjb 1/1 Running 0 28s redis-leader-fb76b4755-xjr2n 1/1 Running 0 13s
``` ```
1. Run the following command to view the logs from the MongoDB Deployment: 1. Run the following command to view the logs from the Redis leader Pod:
```shell ```shell
kubectl logs -f deployment/mongo kubectl logs -f deployment/redis-leader
``` ```
### Creating the MongoDB Service ### Creating the Redis leader Service
The guestbook application needs to communicate to the MongoDB to write its data. You need to apply a [Service](/docs/concepts/services-networking/service/) to proxy the traffic to the MongoDB Pod. A Service defines a policy to access the Pods. The guestbook application needs to communicate to the Redis to write its data. You need to apply a [Service](/docs/concepts/services-networking/service/) to proxy the traffic to the Redis Pod. A Service defines a policy to access the Pods.
{{< codenew file="application/guestbook/mongo-service.yaml" >}} {{< codenew file="application/guestbook/redis-leader-service.yaml" >}}
1. Apply the MongoDB Service from the following `mongo-service.yaml` file: 1. Apply the Redis Service from the following `redis-leader-service.yaml` file:
<!--- <!---
for local testing of the content via relative file path for local testing of the content via relative file path
kubectl apply -f ./content/en/examples/application/guestbook/mongo-service.yaml kubectl apply -f ./content/en/examples/application/guestbook/redis-leader-service.yaml
--> -->
```shell ```shell
kubectl apply -f https://k8s.io/examples/application/guestbook/mongo-service.yaml kubectl apply -f https://k8s.io/examples/application/guestbook/redis-leader-service.yaml
``` ```
1. Query the list of Services to verify that the MongoDB Service is running: 1. Query the list of Services to verify that the Redis Service is running:
```shell ```shell
kubectl get service kubectl get service
@ -105,17 +104,85 @@ The guestbook application needs to communicate to the MongoDB to write its data.
```shell ```shell
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 1m kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 1m
mongo ClusterIP 10.0.0.151 <none> 27017/TCP 8s redis-leader ClusterIP 10.103.78.24 <none> 6379/TCP 16s
``` ```
{{< note >}} {{< 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. This manifest file creates a Service named `redis-leader` with a set of labels that match the labels previously defined, so the Service routes network traffic to the Redis Pod.
{{< /note >}} {{< /note >}}
### Set up Redis followers
Although the Redis leader is a single Pod, you can make it highly available and meet traffic demands by adding a few Redis followers, or replicas.
{{< codenew file="application/guestbook/redis-follower-deployment.yaml" >}}
1. Apply the Redis Service from the following `redis-follower-deployment.yaml` file:
<!---
for local testing of the content via relative file path
kubectl apply -f ./content/en/examples/application/guestbook/redis-follower-deployment.yaml
-->
```shell
kubectl apply -f https://k8s.io/examples/application/guestbook/redis-follower-deployment.yaml
```
1. Verify that the two Redis follower replicas are running by querying the list of Pods:
```shell
kubectl get pods
```
The response should be similar to this:
```shell
NAME READY STATUS RESTARTS AGE
redis-follower-dddfbdcc9-82sfr 1/1 Running 0 37s
redis-follower-dddfbdcc9-qrt5k 1/1 Running 0 38s
redis-leader-fb76b4755-xjr2n 1/1 Running 0 11m
### Creating the Redis follower service
The guestbook application needs to communicate with the Redis followers to read data. To make the Redis followers discoverable, you must set up another [Service](/docs/concepts/services-networking/service/).
{{< codenew file="application/guestbook/redis-follower-service.yaml" >}}
1. Apply the Redis Service from the following `redis-follower-service.yaml` file:
<!---
for local testing of the content via relative file path
kubectl apply -f ./content/en/examples/application/guestbook/redis-follower-service.yaml
-->
```shell
kubectl apply -f https://k8s.io/examples/application/guestbook/redis-follower-service.yaml
```
1. Query the list of Services to verify that the Redis Service is running:
```shell
kubectl get service
```
The response should be similar to this:
```shell
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 3d19h
redis-follower ClusterIP 10.110.162.42 <none> 6379/TCP 9s
redis-leader ClusterIP 10.103.78.24 <none> 6379/TCP 6m10s
```
{{< note >}}
This manifest file creates a Service named `redis-follower` with a set of labels that match the labels previously defined, so the Service routes network traffic to the Redis Pod.
{{< /note >}}
## Set up and Expose the Guestbook Frontend ## 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. Now that you have the Redis storage of your guestbook up and running, start the guestbook web servers. Like the Redis followers, the frontend is deployed using a Kubernetes Deployment.
The guestbook app uses a PHP frontend. It is configured to communicate with either the Redis follower or leader Services, depending on whether the request is a read or a write. The frontend exposes a JSON interface, and serves a jQuery-Ajax-based UX.
### Creating the Guestbook Frontend Deployment ### Creating the Guestbook Frontend Deployment
@ -135,21 +202,21 @@ The guestbook application has a web frontend serving the HTTP requests written i
1. Query the list of Pods to verify that the three frontend replicas are running: 1. Query the list of Pods to verify that the three frontend replicas are running:
```shell ```shell
kubectl get pods -l app.kubernetes.io/name=guestbook -l app.kubernetes.io/component=frontend kubectl get pods -l app=guestbook -l tier=frontend
``` ```
The response should be similar to this: The response should be similar to this:
``` ```
NAME READY STATUS RESTARTS AGE NAME READY STATUS RESTARTS AGE
frontend-3823415956-dsvc5 1/1 Running 0 54s frontend-85595f5bf9-5tqhb 1/1 Running 0 47s
frontend-3823415956-k22zn 1/1 Running 0 54s frontend-85595f5bf9-qbzwm 1/1 Running 0 47s
frontend-3823415956-w9gbt 1/1 Running 0 54s frontend-85595f5bf9-zchwc 1/1 Running 0 47s
``` ```
### Creating the Frontend Service ### 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](/docs/concepts/services-networking/service/#publishing-services-service-types). `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. The `Redis` Services you applied is only accessible within the Kubernetes cluster because the default type for a Service is [ClusterIP](/docs/concepts/services-networking/service/#publishing-services-service-types). `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`. 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`.
@ -179,10 +246,11 @@ Some cloud providers, like Google Compute Engine or Google Kubernetes Engine, su
The response should be similar to this: The response should be similar to this:
``` ```
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
frontend ClusterIP 10.0.0.112 <none> 80/TCP 6s frontend ClusterIP 10.97.28.230 <none> 80/TCP 19s
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 4m kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 3d19h
mongo ClusterIP 10.0.0.151 <none> 6379/TCP 2m redis-follower ClusterIP 10.110.162.42 <none> 6379/TCP 5m48s
redis-leader ClusterIP 10.103.78.24 <none> 6379/TCP 11m
``` ```
### Viewing the Frontend Service via `kubectl port-forward` ### Viewing the Frontend Service via `kubectl port-forward`
@ -221,6 +289,10 @@ If you deployed the `frontend-service.yaml` manifest with type: `LoadBalancer` y
1. Copy the external IP address, and load the page in your browser to view your guestbook. 1. Copy the external IP address, and load the page in your browser to view your guestbook.
{{< note >}}
Try adding some guestbook entries by typing in a message, and clicking Submit. The message you typed appears in the frontend. This message indicates that data is successfully added to Redis through the Services you created earlier.
{{< /note >}}
## Scale the Web Frontend ## 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. You can scale up or down as needed because your servers are defined as a Service that uses a Deployment controller.
@ -240,13 +312,15 @@ You can scale up or down as needed because your servers are defined as a Service
The response should look similar to this: The response should look similar to this:
``` ```
NAME READY STATUS RESTARTS AGE NAME READY STATUS RESTARTS AGE
frontend-3823415956-70qj5 1/1 Running 0 5s frontend-85595f5bf9-5df5m 1/1 Running 0 83s
frontend-3823415956-dsvc5 1/1 Running 0 54m frontend-85595f5bf9-7zmg5 1/1 Running 0 83s
frontend-3823415956-k22zn 1/1 Running 0 54m frontend-85595f5bf9-cpskg 1/1 Running 0 15m
frontend-3823415956-w9gbt 1/1 Running 0 54m frontend-85595f5bf9-l2l54 1/1 Running 0 14m
frontend-3823415956-x2pld 1/1 Running 0 5s frontend-85595f5bf9-l9c8z 1/1 Running 0 14m
mongo-1068406935-3lswp 1/1 Running 0 56m redis-follower-dddfbdcc9-82sfr 1/1 Running 0 97m
redis-follower-dddfbdcc9-qrt5k 1/1 Running 0 97m
redis-leader-fb76b4755-xjr2n 1/1 Running 0 108m
``` ```
1. Run the following command to scale down the number of frontend Pods: 1. Run the following command to scale down the number of frontend Pods:
@ -264,14 +338,14 @@ You can scale up or down as needed because your servers are defined as a Service
The response should look similar to this: The response should look similar to this:
``` ```
NAME READY STATUS RESTARTS AGE NAME READY STATUS RESTARTS AGE
frontend-3823415956-k22zn 1/1 Running 0 1h frontend-85595f5bf9-cpskg 1/1 Running 0 16m
frontend-3823415956-w9gbt 1/1 Running 0 1h frontend-85595f5bf9-l9c8z 1/1 Running 0 15m
mongo-1068406935-3lswp 1/1 Running 0 1h redis-follower-dddfbdcc9-82sfr 1/1 Running 0 98m
redis-follower-dddfbdcc9-qrt5k 1/1 Running 0 98m
redis-leader-fb76b4755-xjr2n 1/1 Running 0 109m
``` ```
## {{% heading "cleanup" %}} ## {{% heading "cleanup" %}}
Deleting the Deployments and Services also deletes any running Pods. Use labels to delete multiple resources with one command. Deleting the Deployments and Services also deletes any running Pods. Use labels to delete multiple resources with one command.
@ -279,17 +353,17 @@ Deleting the Deployments and Services also deletes any running Pods. Use labels
1. Run the following commands to delete all Pods, Deployments, and Services. 1. Run the following commands to delete all Pods, Deployments, and Services.
```shell ```shell
kubectl delete deployment -l app.kubernetes.io/name=mongo kubectl delete deployment -l app=redis
kubectl delete service -l app.kubernetes.io/name=mongo kubectl delete service -l app=redis
kubectl delete deployment -l app.kubernetes.io/name=guestbook kubectl delete deployment frontend
kubectl delete service -l app.kubernetes.io/name=guestbook kubectl delete service frontend
``` ```
The responses should be: The response should look similar to this:
``` ```
deployment.apps "mongo" deleted deployment.apps "redis-follower" deleted
service "mongo" deleted deployment.apps "redis-leader" deleted
deployment.apps "frontend" deleted deployment.apps "frontend" deleted
service "frontend" deleted service "frontend" deleted
``` ```
@ -300,17 +374,15 @@ Deleting the Deployments and Services also deletes any running Pods. Use labels
kubectl get pods kubectl get pods
``` ```
The response should be this: The response should look similar to this:
``` ```
No resources found. No resources found in default namespace.
``` ```
## {{% heading "whatsnext" %}} ## {{% heading "whatsnext" %}}
* Complete the [Kubernetes Basics](/docs/tutorials/kubernetes-basics/) Interactive Tutorials * Complete the [Kubernetes Basics](/docs/tutorials/kubernetes-basics/) Interactive Tutorials
* Use Kubernetes to create a blog using [Persistent Volumes for MySQL and Wordpress](/docs/tutorials/stateful-application/mysql-wordpress-persistent-volume/#visit-your-new-wordpress-blog) * Use Kubernetes to create a blog using [Persistent Volumes for MySQL and Wordpress](/docs/tutorials/stateful-application/mysql-wordpress-persistent-volume/#visit-your-new-wordpress-blog)
* Read more about [connecting applications](/docs/concepts/services-networking/connect-applications-service/) * Read more about [connecting applications](/docs/concepts/services-networking/connect-applications-service/)
* Read more about [Managing Resources](/docs/concepts/cluster-administration/manage-deployment/#using-labels-effectively) * Read more about [Managing Resources](/docs/concepts/cluster-administration/manage-deployment/#using-labels-effectively)

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content/en/examples/application/guestbook/frontend-deployment.yaml
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@ -1,32 +1,29 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: apps/v1 apiVersion: apps/v1
kind: Deployment kind: Deployment
metadata: metadata:
name: frontend name: frontend
labels:
app.kubernetes.io/name: guestbook
app.kubernetes.io/component: frontend
spec: spec:
replicas: 3
selector: selector:
matchLabels: matchLabels:
app.kubernetes.io/name: guestbook app: guestbook
app.kubernetes.io/component: frontend tier: frontend
replicas: 3
template: template:
metadata: metadata:
labels: labels:
app.kubernetes.io/name: guestbook app: guestbook
app.kubernetes.io/component: frontend tier: frontend
spec: spec:
containers: containers:
- name: guestbook - name: php-redis
image: paulczar/gb-frontend:v5 image: gcr.io/google_samples/gb-frontend:v5
# image: gcr.io/google-samples/gb-frontend:v4 env:
- name: GET_HOSTS_FROM
value: "dns"
resources: resources:
requests: requests:
cpu: 100m cpu: 100m
memory: 100Mi memory: 100Mi
env:
- name: GET_HOSTS_FROM
value: dns
ports: ports:
- containerPort: 80 - containerPort: 80

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content/en/examples/application/guestbook/frontend-service.yaml
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@ -1,16 +1,19 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: v1 apiVersion: v1
kind: Service kind: Service
metadata: metadata:
name: frontend name: frontend
labels: labels:
app.kubernetes.io/name: guestbook app: guestbook
app.kubernetes.io/component: frontend tier: frontend
spec: spec:
# if your cluster supports it, uncomment the following to automatically create # if your cluster supports it, uncomment the following to automatically create
# an external load-balanced IP for the frontend service. # an external load-balanced IP for the frontend service.
# type: LoadBalancer # type: LoadBalancer
#type: LoadBalancer
ports: ports:
# the port that this service should serve on
- port: 80 - port: 80
selector: selector:
app.kubernetes.io/name: guestbook app: guestbook
app.kubernetes.io/component: frontend tier: frontend

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content/en/examples/application/guestbook/mongo-deployment.yaml
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@ -1,31 +0,0 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: mongo
labels:
app.kubernetes.io/name: mongo
app.kubernetes.io/component: backend
spec:
selector:
matchLabels:
app.kubernetes.io/name: mongo
app.kubernetes.io/component: backend
replicas: 1
template:
metadata:
labels:
app.kubernetes.io/name: mongo
app.kubernetes.io/component: backend
spec:
containers:
- name: mongo
image: mongo:4.2
args:
- --bind_ip
- 0.0.0.0
resources:
requests:
cpu: 100m
memory: 100Mi
ports:
- containerPort: 27017

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content/en/examples/application/guestbook/mongo-service.yaml
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@ -1,14 +0,0 @@
apiVersion: v1
kind: Service
metadata:
name: mongo
labels:
app.kubernetes.io/name: mongo
app.kubernetes.io/component: backend
spec:
ports:
- port: 27017
targetPort: 27017
selector:
app.kubernetes.io/name: mongo
app.kubernetes.io/component: backend

30
content/en/examples/application/guestbook/redis-follower-deployment.yaml Normal file
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@ -0,0 +1,30 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: apps/v1
kind: Deployment
metadata:
name: redis-follower
labels:
app: redis
role: follower
tier: backend
spec:
replicas: 2
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
role: follower
tier: backend
spec:
containers:
- name: follower
image: gcr.io/google_samples/gb-redis-follower:v2
resources:
requests:
cpu: 100m
memory: 100Mi
ports:
- containerPort: 6379

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content/en/examples/application/guestbook/redis-follower-service.yaml Normal file
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@ -0,0 +1,17 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: v1
kind: Service
metadata:
name: redis-follower
labels:
app: redis
role: follower
tier: backend
spec:
ports:
# the port that this service should serve on
- port: 6379
selector:
app: redis
role: follower
tier: backend

30
content/en/examples/application/guestbook/redis-leader-deployment.yaml Normal file
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@ -0,0 +1,30 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: apps/v1
kind: Deployment
metadata:
name: redis-leader
labels:
app: redis
role: leader
tier: backend
spec:
replicas: 1
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
role: leader
tier: backend
spec:
containers:
- name: leader
image: "docker.io/redis:6.0.5"
resources:
requests:
cpu: 100m
memory: 100Mi
ports:
- containerPort: 6379

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content/en/examples/application/guestbook/redis-leader-service.yaml Normal file
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@ -0,0 +1,17 @@
# SOURCE: https://cloud.google.com/kubernetes-engine/docs/tutorials/guestbook
apiVersion: v1
kind: Service
metadata:
name: redis-leader
labels:
app: redis
role: leader
tier: backend
spec:
ports:
- port: 6379
targetPort: 6379
selector:
app: redis
role: leader
tier: backend