Subodh
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Integrate Online Boutique with Memorystore (Redis)
By default the cartservice app is serializing the data in an in-cluster Redis database. Using a database outside your GKE cluster could bring more resiliency and more security with a managed service like Google Cloud Memorystore (Redis).
Provision a Memorystore (Redis) instance
Important notes:
- You can connect to a Memorystore (Redis) instance from GKE clusters that are in the same region and use the same network as your instance.
- You cannot connect to a Memorystore (Redis) instance from a GKE cluster without VPC-native/IP aliasing enabled.
To provision a Memorystore (Redis) instance you can follow the following instructions:
ZONE="<your-GCP-zone>"
REGION="<your-GCP-region>"
gcloud services enable redis.googleapis.com
gcloud redis instances create redis-cart \
--size=1 \
--region=${REGION} \
--zone=${ZONE} \
--redis-version=redis_7_0
Note: You can also find in this repository the Terraform script to provision the Memorystore (Redis) instance alongside the GKE cluster, more information here.
Deploy Online Boutique connected to a Memorystore (Redis) instance
To automate the deployment of Online Boutique integrated with Memorystore (Redis) you can leverage the following variation with Kustomize.
From the kustomize/ folder at the root level of this repository, execute this command:
kustomize edit add component components/memorystore
Note: this Kustomize component will also remove the redis-cart Deployment and Service not used anymore.
This will update the kustomize/kustomization.yaml file which could be similar to:
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
- base
components:
- components/memorystore
Update current Kustomize manifest to target this Memorystore (Redis) instance.
REDIS_IP=$(gcloud redis instances describe redis-cart --region=${REGION} --format='get(host)')
REDIS_PORT=$(gcloud redis instances describe redis-cart --region=${REGION} --format='get(port)')
sed -i "s/REDIS_CONNECTION_STRING/${REDIS_IP}:${REDIS_PORT}/g" components/memorystore/kustomization.yaml
You can locally render these manifests by running kubectl kustomize . as well as deploying them by running kubectl apply -k ..