Connecting to a Redis instance from a Cloud Run service

You can connect to a Redis instance from Cloud Run by using Direct VPC egress or Serverless VPC Access.


If you have already installed the Google Cloud CLI and have created a Redis instance, you can skip these steps.

  1. Install the gcloud CLI and initialize:

    gcloud init
  2. Follow the Quickstart Guide to create a Redis instance. Take note of the zone, IP address, and port of the Redis instance.

Prepare VPC network egress for configuration

To connect to your Redis instance, your Cloud Run service needs access to the Redis instance's authorized VPC network. To enable this access, you need either Direct VPC egress or a Serverless VPC Access connector. Compare the two network egress methods.

  1. Find the name of your Redis instance's authorized network by running the following command:

    gcloud redis instances describe INSTANCE_ID --region REGION --format "value(authorizedNetwork)"

    Make a note of the network name.

  2. If you're using Serverless VPC Access, create a connector. Be sure to use the same region and VPC network as the one used by the Redis instance. Make a note of the connector's name.

Sample application

This sample HTTP server application establishes a connection to a Redis instance from a Cloud Run service.

Clone the repository for your chosen programming language and navigate to the folder that contains the sample code:


git clone
cd golang-samples/memorystore/redis


git clone
cd nodejs-docs-samples/memorystore/redis


git clone
cd python-docs-samples/memorystore/redis

This sample application increments a Redis counter every time the / endpoint is accessed.


This application uses the client. Install it by running the following command:

go get

// Command redis is a basic app that connects to a managed Redis instance.
package main

import (


var redisPool *redis.Pool

func incrementHandler(w http.ResponseWriter, r *http.Request) {
	conn := redisPool.Get()
	defer conn.Close()

	counter, err := redis.Int(conn.Do("INCR", "visits"))
	if err != nil {
		http.Error(w, "Error incrementing visitor counter", http.StatusInternalServerError)
	fmt.Fprintf(w, "Visitor number: %d", counter)

func main() {
	redisHost := os.Getenv("REDISHOST")
	redisPort := os.Getenv("REDISPORT")
	redisAddr := fmt.Sprintf("%s:%s", redisHost, redisPort)

	const maxConnections = 10
	redisPool = &redis.Pool{
		MaxIdle: maxConnections,
		Dial:    func() (redis.Conn, error) { return redis.Dial("tcp", redisAddr) },

	http.HandleFunc("/", incrementHandler)

	port := os.Getenv("PORT")
	if port == "" {
		port = "8080"
	log.Printf("Listening on port %s", port)
	if err := http.ListenAndServe(":"+port, nil); err != nil {


This application uses the redis module.

  "name": "memorystore-redis",
  "description": "An example of using Memorystore(Redis) with Node.js",
  "version": "0.0.1",
  "private": true,
  "license": "Apache Version 2.0",
  "author": "Google Inc.",
  "engines": {
    "node": ">=16.0.0"
  "dependencies": {
    "redis": "^4.0.0"

'use strict';
const http = require('http');
const redis = require('redis');

const REDISHOST = process.env.REDISHOST || 'localhost';
const REDISPORT = process.env.REDISPORT || 6379;

const client = redis.createClient(REDISPORT, REDISHOST);
client.on('error', err => console.error('ERR:REDIS:', err));

// create a server
  .createServer((req, res) => {
    // increment the visit counter
    client.incr('visits', (err, reply) => {
      if (err) {
      res.writeHead(200, {'Content-Type': 'text/plain'});
      res.end(`Visitor number: ${reply}\n`);


This application uses Flask for web serving and the redis-py package to communicate with the Redis instance.

import logging
import os

from flask import Flask
import redis

app = Flask(__name__)

redis_host = os.environ.get("REDISHOST", "localhost")
redis_port = int(os.environ.get("REDISPORT", 6379))
redis_client = redis.StrictRedis(host=redis_host, port=redis_port)

def index():
    value = redis_client.incr("counter", 1)
    return f"Visitor number: {value}"

def server_error(e):
    logging.exception("An error occurred during a request.")
    return (
    An internal error occurred: <pre>{}</pre>
    See logs for full stacktrace.

if __name__ == "__main__":
    # This is used when running locally. Gunicorn is used to run the
    # application on Google App Engine and Cloud Run.
    # See entrypoint in app.yaml or Dockerfile."", port=8080, debug=True)

Deploying the application to Cloud Run

To deploy the application:

  1. Copy the Dockerfile into the source directory:

    cp cloud_run_deployment/Dockerfile .
  2. Build a container image using Cloud Build with the following command:

    gcloud builds submit --tag
  3. Deploy the container to Cloud Run.

    • If you're using Direct VPC egress, run the following command:

      gcloud run deploy \
      --image \
      --platform managed \
      --allow-unauthenticated \
      --region REGION \
      --network NETWORK \
      --subnet SUBNET \


      • PROJECT_ID is your Google Cloud project's ID.
      • REGION is the region where your Redis instance is located.
      • NETWORK is the name of the authorized VPC network that your Redis instance is attached to.
      • SUBNET is the name of your subnet. The subnet must be /26 or larger. Direct VPC egress supports IPv4 ranges RFC 1918, RFC 6598, and Class E.
      • REDIS_IP and REDIS_PORT are the IP address and port number of your Redis instance.
    • If you're using a Serverless VPC Access connector, run the following command:

      gcloud run deploy \
      --image \
      --platform managed \
      --allow-unauthenticated \
      --region REGION \
      --vpc-connector CONNECTOR_NAME \


      • PROJECT_ID is your Google Cloud project's ID.
      • REGION is the region where your Serverless VPC Access connector and your Redis instance are located.
      • CONNECTOR_NAME is the name of your connector.
      • REDIS_IP and REDIS_PORT are the IP address and port number of your Redis instance.

After the deployment successfully completes, the command line displays your Cloud Run service's URL. Visit this URL in a web browser (or use a tool like curl) and see the count on your Redis instance increase each time the service is visited.