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World desk5 min

Logto on AWS: Deployment Choices and Cognito Migration Essentials

Logto can run as a Cognito alternative, but self-hosting on AWS means operating the identity service yourself. Compare deployment models, prerequisites, migration options, and costs before cutover.

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Logto can replace Cognito for an application whose identity features fit Logto, but self-hosting it on AWS is not a turnkey Cognito replacement. Logto documents Docker- and PostgreSQL-based self-hosting; teams choosing that route also take on operating the identity service. The available Logto guidance does not establish an AWS-specific reference architecture or tested deployment recipe.

Choose the operating model before planning a migration

Logto describes three deployment options: Logto Cloud, private cloud, and self-hosted open-source software. Cognito is AWS-hosted. With Logto self-hosted on AWS, your team operates the service and its supporting infrastructure; using Logto Cloud or private cloud is a different operating choice from running the OSS edition yourself.

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Option Who operates the identity service? What to account for
Logto Cloud Logto provides the cloud service. Check plan, usage charges, and add-ons against your workload.
Logto private cloud Logto offers this as a deployment option; the reviewed material does not specify the operating boundaries. Confirm responsibilities, availability terms, and included services with Logto.
Logto self-hosted OSS on AWS Your team runs Logto and arranges its supporting infrastructure. Plan database administration, deployment, updates, monitoring, backups, availability, and incident response.
AWS Cognito AWS hosts the service. Evaluate whether Cognito’s identity features, including identity pools when required, match the application.

The self-hosted documentation describes general deployment requirements, not a validated AWS design. It does not specify an AWS load balancer, ECS or EKS configuration, IAM roles, network ACLs, backup or disaster-recovery design, or a production SLA. Treat any AWS architecture built from the general instructions as your own implementation, not a Logto-certified Cognito migration recipe.

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Check whether Logto fits the application’s identity model

Logto’s comparison with Cognito highlights organizations, organization-level enterprise SSO, sign-in customization, and configurable identity settings. Those are vendor comparison claims, not independent comparative test results. Map them to the exact flows and authorization behavior your application needs before choosing a provider.

  • AWS credentials: Logto’s comparison identifies a case where Cognito may be preferable: applications that need identity pools to issue temporary AWS credentials for direct access to AWS services. Do not assume Logto is a substitute for that capability.
  • Tenant and enterprise needs: Confirm how your organization model, enterprise SSO requirements, and authorization mappings should work in the target system.
  • Sign-in and identity schema: Inventory required sign-in customization and identity fields, then check whether the target configuration supports the application’s existing behavior.

Prepare the self-hosted prerequisites

Logto’s OSS getting-started guide lists PostgreSQL 14 or later, Docker, and npm/CLI setup among its prerequisites. Its guide gives default ports 3001 for the core service and 3002 for the Admin Console. Those are documented defaults, not a complete AWS network or sizing specification.

The guide’s minimum hardware figures are local-hosting guidance, not validated AWS instance sizing. Size AWS compute and database resources for your own expected traffic and availability requirements rather than treating local recommendations as cloud sizing advice.

Deploy using the general Logto guidance, then design AWS operations

  1. Prepare PostgreSQL and the Logto setup tools. Use PostgreSQL 14 or later and install Docker and the documented npm/CLI prerequisites. Decide how the production database and persistent storage will be provided before deploying the application.
  2. Configure the deployment environment. The deployment guide documents DB_URL, ENDPOINT, and ADMIN_ENDPOINT. Set them for your database and the public addresses you intend to use; the guide does not prescribe AWS-specific values.
  3. Set up HTTPS and the reverse proxy. Logto documents HTTPS/reverse-proxy configuration. For proxy setups, it describes mapping the core service and Admin Console ports separately and configuring the forwarded-header trust setting. Follow the current Logto deployment guide for the exact setting and ensure the proxy configuration matches your deployment.
  4. Containerize for production. Use the deployment guidance for production containerization and choose an AWS compute and networking arrangement appropriate to your service. The documentation reviewed here does not select or validate a particular AWS service topology.
  5. Define the operating runbook. Before cutover, specify monitoring, updates, database maintenance, backups, recovery objectives, and incident response. These are responsibilities to plan for in a self-hosted deployment; the reviewed Logto pages do not supply an AWS production operations plan.

Do not use the getting-started guide’s bundled Docker Compose database arrangement as a production database plan. Logto warns against using its Docker Compose command in production because rerunning it may create a new database and lose previously persisted data. Use a production database arrangement and a deliberate persistent-storage strategy instead.

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Plan upgrades before adding instances

Logto’s deployment guide describes extra work for multiple instances: maintaining a shared connectors directory and running database alterations as a single-instance job. Account for that coordination in deployment and upgrade procedures; adding replicas is not just a matter of starting more containers.

Choose a password migration strategy before cutover

Migration planning should cover user profiles, social identities, password storage, active sessions, and authorization mappings. Logto documents bulk and just-in-time approaches; the right choice depends on whether credentials can be moved compatibly and how much user disruption is acceptable.

Bulk migration

Bulk migration fits when you can export user records and password hashes in a format Logto can import. It moves records ahead of cutover, but do not assume password continuity until the hash format and import process have been validated.

Just-in-time migration

Just-in-time migration fits when the legacy provider must verify passwords, compatible hashes are unavailable, or users should move gradually. The legacy authentication system remains in the sign-in path until each user has migrated. Plan how users who do not return during the migration window will be handled.

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What Logto says about Cognito passwords

Logto’s Cognito comparison says Cognito does not allow password-hash export and says Cognito’s bulk import requires users to reset passwords at first sign-in. These are claims from Logto’s vendor-authored comparison and were not independently confirmed against current AWS documentation here. Validate Cognito’s current export and import behavior before selecting a migration path, and do not promise silent password continuity.

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Compare the full cost, not just monthly identity pricing

Logto’s pricing page lists a Free plan with up to 50,000 monthly active users (MAU) and 50,000 tokens, a Pro plan from $24 per month, and Enterprise pricing by contact. These are vendor-published figures accessed in 2026; plan terms, quotas, and prices can change. They do not estimate the total cost of self-hosting on AWS.

Logto’s comparison says its Cognito pricing examples use US East (N. Virginia) and public information as of July 2026. Those regional, dated vendor comparisons are not independently verified AWS prices and should not be applied to other regions or treated as a current quote.

Logto bills token usage based on access-token issuance. M2M authorization flows and organization requests can issue additional access tokens, so estimate token volume from the application’s actual flows rather than comparing providers by MAU alone. For a like-for-like cost comparison, include plan and token charges, add-ons, AWS database and compute costs, and the engineering and operations effort needed for your chosen deployment model.

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Make the decision against your requirements

  • Choose Cognito when the application depends on Cognito identity pools to issue temporary AWS credentials and that capability is a requirement.
  • Consider Logto when its identity features fit the application and its Cloud, private-cloud, or self-hosted operating model fits your team’s needs.
  • Choose self-hosted Logto on AWS only with a concrete plan for PostgreSQL persistence, production deployment, upgrades, monitoring, backups, and recovery.
  • Do not schedule a user cutover until you have verified credential migration behavior and decided how users who cannot retain compatible passwords will authenticate.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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