Introduction

Google Cloud Memory Store is a fully managed in-memory data store service for Redis and Memcached. It provides fast, scalable caching and session management for cloud applications. In this post, we'll walk through how to set up a Redis instance in Memory Store and connect to it securely from a Cloud Run service using a VPC connector.

Why Use Memory Store?

• Performance: Sub-millisecond latency for caching and real-time data.
• Scalability: Easily scale your Redis instance as your application grows.
• Managed Service: No need to manage servers or handle failover manually.
• Security: Connect privately using VPC connectors and private IPs.

Step-by-Step Setup

1. Create a Redis Instance

gcloud redis instances create my-redis \
    --size=1 \
    --region=[REGION] \
    --tier=standard \
    --project=[PROJECT-ID]

After creation, note the private IP address (e.g., 10.152.209.200).

2. Create a VPC Connector

gcloud compute networks vpc-access connectors create my-connector \
    --region=[REGION] \
    --network=default \
    --range=10.10.0.0/28 \
    --project=[PROJECT-ID]

3. Deploy Cloud Run with the VPC Connector

gcloud run deploy my-service \
    --image gcr.io/my-project/my-image \
    --vpc-connector my-connector \
    --region=[REGION] \
    --project=[PROJECT-ID]

4. Connect to Redis from Your Code

Use the private IP and port 6379 to connect to Redis from your application code.

5. Update Existing Cloud Run Service to Use VPC Connector

gcloud run services update [SERVICE] \
    --vpc-connector=my-connector \

Conclusion

Google Cloud Memory Store makes it easy to add fast, scalable caching to your cloud applications. By connecting through a VPC connector, you ensure secure, private access to your Redis instance from Cloud Run or other serverless services.

• Working, connects a Cloud Run Service to a connector

gcloud run services update [SERVICE] \
    --vpc-connector=my-connector \
    --region=[REGION] \
    --project=[PROJECT-ID]