How Do I Create a GCP Redis Instance With Pulumi?

Introduction

This guide aims to provide a comprehensive walkthrough for setting up a Redis instance on Google Cloud Platform (GCP) using Pulumi. Redis is a versatile in-memory data structure store that serves as a database, cache, and message broker. By leveraging Pulumi’s infrastructure as code capabilities, you can efficiently manage and deploy cloud resources. Here, we focus on using the gcp.redis.Instance resource from the Pulumi GCP provider to configure and create a Redis instance with specific settings.

Step-by-Step Process

To create a Redis instance on GCP using Pulumi, follow these detailed steps:

1. Define the Redis Instance: Start by specifying the main configurations for your Redis instance, including its name, region, memory size, and tier. These are crucial for determining the instance’s performance and availability.

2. Configuration Options:

   • Name: Assign a unique name to your Redis instance.
   • Region: Choose the geographical region where your instance will be hosted, e.g., “us-central1”.
   • Tier: Select the desired service tier, such as “STANDARD_HA” for high availability.
   • Memory Size: Define the memory size in gigabytes, which impacts the instance’s capacity.
   • Redis Version: Specify the version of Redis to use, e.g., “REDIS_6_X”.
   • Alternative Location ID: Provide an alternative location for redundancy, such as “us-central1-f”.
   • Authorized Network: Set the network that the instance will connect to, typically “default”.
   • Display Name: Assign a human-readable display name to the instance.
   • Location ID: Indicate the specific zone within the region, like “us-central1-a”.
   • Replica Count: Define the number of replica nodes for redundancy.
   • Reserved IP Range: Allocate a reserved IP range for the instance, e.g., “10.0.0.0/29”.
   • Redis Configs: Customize Redis configurations, such as setting the “maxmemory-policy” to “allkeys-lru”.

3. Deploy the Instance: Use Pulumi to deploy the defined Redis instance on GCP. This involves running the Pulumi program to provision the resources based on the configurations specified.

4. Export Instance Details: After deployment, export key details like the instance name, host, and port for use in your applications.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

// Create a GCP Redis instance
const redisInstance = new gcp.redis.Instance("my-redis-instance", {
    name: "my-redis-instance",
    region: "us-central1",
    tier: "STANDARD_HA",
    memorySizeGb: 1,
    redisVersion: "REDIS_6_X",
    alternativeLocationId: "us-central1-f",
    authorizedNetwork: "default",
    displayName: "My Redis Instance",
    locationId: "us-central1-a",
    replicaCount: 2,
    reservedIpRange: "10.0.0.0/29",
    redisConfigs: {
        "maxmemory-policy": "allkeys-lru",
    },
});

// Export the Redis instance details
export const redisInstanceName = redisInstance.name;
export const redisInstanceHost = redisInstance.host;
export const redisInstancePort = redisInstance.port;

Summary

In summary, this guide demonstrated how to create a Redis instance on Google Cloud using Pulumi. By specifying various configuration options, we ensured the instance meets specific performance and availability requirements. The use of the gcp.redis.Instance resource allowed us to manage the Redis instance effectively, and we exported essential details for further integration into applications. This approach provides a scalable and manageable way to deploy Redis on GCP.