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Deploying Logto on Google Cloud as an Alternative to Identity Platform

Logto OSS can be self-hosted on Google Cloud, but it is not a turnkey Identity Platform replacement. Understand the architecture, operational work, costs, and migration questions first.
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Yes, you can self-host Logto OSS on Google Cloud, but that is an architectural possibility—not a documented, turnkey GCP deployment recipe or a drop-in replacement for Google Cloud Identity Platform. With Logto, you operate the identity application and its database; Identity Platform is a Google-managed authentication service. Choose between them based on the features your apps need, how much infrastructure you want to own, and the full cost and migration work—not an assumed price or feature advantage.

What changes when you choose Logto instead?

Logto OSS is an identity service you run and configure. Its documentation describes support for OIDC and OAuth 2.0, integrations for web, mobile, and desktop apps, machine-to-machine authentication, device flow, and use as an identity provider for third-party applications. Check the relevant integration documentation for the exact flow and feature your application requires; protocol support alone does not establish that every integration works identically. Logto integration overview

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Identity Platform provides managed authentication backend services, SDKs, UI libraries, and common sign-in methods including password, phone, federated providers, SAML, and OIDC. It also integrates with Google Cloud. The two products therefore have different operating models, and feature suitability depends on your application’s specific requirements. Google Identity Platform authentication documentation

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Decision area Logto OSS on Google Cloud Google Identity Platform
Who operates authentication? You operate the Logto application and database, including production configuration and ongoing infrastructure operations. Google provides the managed authentication service and its backend services.
GCP role Google Cloud hosts the components you choose, such as compute, PostgreSQL, networking, secrets, backups, and monitoring. Google Cloud hosts the authentication service; your application can use its SDKs and integrations.
Pricing basis Estimate Google Cloud infrastructure and operating costs for your design, plus engineering and operations time. Most sign-in methods are charged per monthly active user; phone and MFA users are charged by message. The pricing page lists a free tier and tiered rates.
Control and responsibility You gain control over the deployment and take responsibility for patching, availability, backups, scaling, and incident handling. Google operates the managed authentication service; verify its features, pricing, and service requirements against your use case.

This comparison does not establish that either choice is cheaper, more secure, more reliable, or feature-equivalent. Confirm required sign-in methods, federation, MFA, account and organization models, tenant isolation, and SDK or API fit against current documentation before choosing.

Can Logto be deployed on Google Cloud?

Logto’s production guide describes the application’s deployment requirements, including PostgreSQL, endpoint configuration, ports, HTTPS or a reverse proxy, and additional considerations for multiple instances. It does not provide an official end-to-end Logto-on-Cloud-Run deployment guide or validate a particular production topology. Treat GCP as a hosting environment to design and validate, not as a ready-made Logto recipe. Logto production deployment guide

Google’s Cloud Run tutorial illustrates a different architecture: an application uses Identity Platform for end-user authentication and Cloud SQL PostgreSQL for application data, alongside Secret Manager and a least-privilege service identity. It does not deploy Logto. It can inform GCP design choices, but it does not prove that Logto’s runtime, database connections, scaling behavior, or administration exposure have been validated for Cloud Run. Google Cloud Run tutorial

What a production Logto deployment requires

Database and host capacity

Logto’s OSS getting-started documentation gives minimum recommended hardware requirements of 2 vCPU, 8 GiB memory, and 256 GiB disk. These are Logto’s recommendations, not independent benchmark results or a guarantee of capacity for a particular user count. Its bundled-PostgreSQL Docker Compose quick start is explicitly not intended for production. Plan a production PostgreSQL deployment and size it for your workload rather than treating the quick start or minimum host figures as a complete architecture. Logto OSS getting-started guide

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Endpoints, ports, and HTTPS

Logto uses DB_URL to connect to PostgreSQL. Its authentication service listens on port 3001 by default and the Admin Console on 3002. Set the production ENDPOINT and, if used, ADMIN_ENDPOINT to the public custom-domain URLs: these values affect the OIDC issuer and console redirect URIs.

Logto documents HTTPS termination either in Node.js or through a proxy or load balancer. If you use a reverse proxy, route the authentication and admin ports separately and configure trusted forwarded headers as documented. Treat the Admin Console as a sensitive surface; do not expose it casually. Follow Logto’s deployment guide for the configuration details relevant to your topology. Logto production deployment guide

Multiple instances

A scaled deployment has additional requirements beyond starting multiple copies of the service. Logto calls out a shared connectors folder and running database alterations as a single-instance or job task. Account for those steps in the deployment design; do not assume that adding replicas alone produces a correct multi-instance setup. Logto production deployment guide

Responsibilities you retain

  • Operate and update the application and its PostgreSQL database.
  • Design availability, scaling, backup, and recovery arrangements.
  • Protect endpoints, secrets, and administrative access.
  • Monitor service health and handle incidents.
  • Validate the runtime and database behavior on the GCP services you select.

These are part of the self-hosting decision. The sources do not establish a Logto-on-GCP service-level agreement, exact production topology, or operating cost.

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How to evaluate a GCP deployment without assuming a recipe

  1. List application requirements. Identify required sign-in methods, federation, MFA, protocols, SDKs, tenant isolation, and account or organization behavior. Verify each against the relevant current product and integration documentation.
  2. Choose the operating model. Decide whether your team will operate the identity service, database, backups, availability, updates, and incident response, or whether a managed authentication service better matches its capacity and responsibilities.
  3. Design the Logto components if self-hosting. Account for PostgreSQL, compute, public endpoints and domains, HTTPS, secret handling, network paths, and any administration surface. For multiple instances, incorporate Logto’s documented shared-connector and database-alteration steps.
  4. Validate the selected GCP runtime. Test Logto-specific runtime behavior, persistent database connections, scaling, endpoint routing, and admin exposure on the chosen service. Google’s Cloud Run tutorial is an Identity Platform application example, not evidence that these Logto-specific questions are already answered.
  5. Estimate total cost for the same workload. Compare Identity Platform’s applicable monthly active user and messaging charges with the GCP resources and operator time required for Logto. Use the current pricing page and match provider type, geography, and billing currency; do not treat sample pricing scenarios as a forecast. Google Identity Platform pricing
  6. Plan migration per application. Assess whether user records and password hashes can move, whether SDKs need changes, and how token issuer and audience values, social sign-in, and SAML/OIDC configuration will change. Logto Cloud documentation mentioning migration support does not establish that every source system or an OSS migration workflow is supported; check the guide for the specific source and target.

A useful Logto cost model should include GCP compute, PostgreSQL, network egress, storage and backups, logging and monitoring, secrets, availability design, and engineering and operations time. A total comparison is meaningful only when the workload, user mix, architecture, and cost assumptions are stated.

Do Logto OSS and Identity Platform cover the same identity model?

Tenant separation

Identity Platform’s multi-tenancy model provides separate user and provider silos, along with tenant-specific auditing and IAM configuration, quota allocation, and usage breakdown. Google also documents limitations: account linking cannot be disabled, and there is no tenant-specific blocking function. Some signup and deletion controls require API configuration rather than the console. If tenant boundaries are central to your design, assess those properties against the exact requirements rather than treating “multi-tenant” as a complete equivalence claim. Google multi-tenancy documentation

Logto OSS console scope

Logto’s OSS setup documentation identifies multiple console tenants, collaborator invitations, and console MFA as features exclusive to Logto Cloud. Do not assume those Cloud team-management capabilities are included in OSS; check current release documentation for the edition you plan to operate. Logto OSS setup

Google as a Logto social provider

Logto’s Google connector lets Google act as a social identity provider through OAuth credentials. That is a way to offer Google sign-in within a Logto deployment; it is not the same as using Identity Platform as the application’s complete authentication service, and it does not establish parity between the products. Logto Google connector guide

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