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Listing Deployments

View all your deployed models to understand your current production environment:
This shows all your deployed models with their current status, versions, and basic configuration. Use this to get an overview of your model portfolio and identify which models need attention.

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Organizing Apps with Tags

You can assign custom tags to your apps from the fal dashboard to keep your app list organized. Tags are visual labels — use them to group apps by team, project, model type, or any category that fits your workflow, then filter the app listing to quickly find what you need.
Tags are managed entirely through the dashboard UI — they don’t isolate secrets, affect routing, or change app behavior. If you need isolated deployment stages (dev, staging, production) with separate secrets and endpoints, use Environments instead.

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Managing Versions

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Viewing Model Revisions

Each deployment creates a new revision. List all revisions for a specific model:

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Switching Between Revisions

If you need to roll back to a previous model version or switch to a different revision:
This is useful for quick rollbacks when a new model version has issues in production.

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Scaling Deployments

After deployment, you can adjust scaling parameters without redeploying:
For comprehensive scaling configuration and strategies, see Scale Your Application.

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Monitoring Health

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Basic Health Checks

Monitor your model’s health and performance using the fal dashboard, or check active runners:
For detailed performance monitoring, metrics collection, and alerting strategies, see Monitor Performance.

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Removing Deployments

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Safe Deletion Process

Before deleting a model deployment:
1

Verify dependencies:

Ensure no other services or applications depend on this model
2

Check traffic:

Review recent usage to understand impact
3

Backup if needed:

Document model configuration or export important data

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Delete a Deployment

Warning: This permanently removes the model deployment. The model cannot be recovered after deletion.

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Delete Specific Revisions

To clean up old revisions while keeping the current deployment: