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Merge pull request #3450 from Infisical/google-cloud-run-guide
Adding a guide on deploying Infisical using Google Cloud Run
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"pages": [
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"self-hosting/reference-architectures/aws-ecs",
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"self-hosting/reference-architectures/linux-deployment-ha",
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"self-hosting/reference-architectures/on-prem-k8s-ha"
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"self-hosting/reference-architectures/on-prem-k8s-ha",
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"self-hosting/reference-architectures/google-cloud-run"
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]
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},
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"self-hosting/ee",
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docs/self-hosting/reference-architectures/google-cloud-run.mdx
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docs/self-hosting/reference-architectures/google-cloud-run.mdx
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---
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title: "Google Cloud Run"
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description: "Reference architecture for self-hosting Infisical on Google Cloud Run."
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---
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## Overview
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This guide outlines a reference architecture for deploying Infisical in a self-hosted configuration using Google Cloud Run.
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It is intended to provide a scalable, secure, and production-ready baseline for organizations choosing Google Cloud Platform (GCP) as their infrastructure provider.
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## Core Components
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- **Cloud Run:** Infisical service is containerized and deployed as fully managed Cloud Run services.
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- **Cloud SQL:** Infisical uses Postgres as its persistence layer. As such, Cloud SQL for PostgreSQL is used.
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- **MemoryStore for Redis:** To schedule jobs, process audit logs and cache performance, Infisical requires Redis.
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## Securing Infisical's root credential
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- **Secrets Manager:** To secure Infisical’s root credentials (database connection string, encryption key, etc.),
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we highly recommend that you use Google Secrets Manager and only allow the tasks running Infisical to access them.
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## High Availability and Scalability
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This architecture leverages Google Cloud's managed services to achieve high availability and scalability out of the box:
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**Cloud Run:**
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- Automatically scales the number of container instances up or down based on incoming request volume.
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- Supports rapid scaling during traffic spikes, ensuring low latency.
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- Configurable minimum and maximum instances to handle baseline and peak loads.
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**Cloud SQL:**
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- Provides high availability configurations (regional instances with automatic failover) to ensure database uptime.
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- Automated backups, point-in-time recovery, and maintenance.
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**MemoryStore:**
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- Offers highly available Redis configurations with replication.
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- Fully managed with automatic scaling and patching.
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**Cloud Load Balancer:**
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- Distributes user traffic across available Cloud Run instances.
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- Provides SSL termination, global load balancing, and health checks.
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<Info>
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**Note:** To further improve performance and availability, consider enabling multi-region deployment strategies,
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regional VPC Connectors, and database replicas for read-heavy workloads.
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</Info>
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## Configuration
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<Steps>
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<Step title="Provision Core Infrastructure">
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**Cloud SQL (PostgreSQL):**
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- Create a Cloud SQL instance.
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- Under `Zonal availability`, select the `Multiple zones` option to ensure High Availability.
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- Configure private IP access.
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**MemoryStore (Redis):**
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- Deploy a Redis instance.
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- Configure VPC access.
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</Step>
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<Step title="Get the Infisical Docker image">
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Visit [Docker Hub](https://hub.docker.com/r/infisical/infisical/tags) and select a version of Infisical image you would like to deploy.
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Then, within Cloud Run, paste the URL of the specific Infisical Docker image you would like to use within the `Container image URL` field.
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Remember to replace `<version>` with the docker image tag of your choice.
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</Step>
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<Step title="Set the environment variables">
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For a minimal installation of Infisical, you must configure the following environment variables:
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```bash
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ENCRYPTION_KEY=<your_encryption_key>
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AUTH_SECRET=<your_auth_secret>
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DB_CONNECTION_URI="<your_db_connection_uri>"
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SITE_URL="<your_site_url>"
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REDIS_URL="<your_redis_url>"
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```
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[View all available configurations](/self-hosting/configuration/envars).
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You will want to setup Postgres and Redis within Google Cloud Platform to connect to Infisical.
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Once you have added the required environment variables to the `Environment Variables` section within Cloud Run,
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create the container to get Infisical up and running.
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<Warning>
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The above environment variable values are only to be used as an example and should not be used in production
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</Warning>
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</Step>
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<Step title="Network Configuration">
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Enable `Connect to a VPC for outbound traffic`: This enables the service to talk to private resources (e.g., a Cloud SQL database, Redis instance on a private IP) inside your Google Cloud VPC network.
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Select `Send traffic directly to a VPC`: It gives lower latency and better performance, but uses more IPs from the subnet.
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<Info>
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Your Cloud Run revision must be in the same VPC network
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</Info>
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Once the container is running, verify the installation by opening your web browser and navigating to the Site URL.
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</Step>
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</Steps>
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