fal Release Notes

Interval picker

The analytics pages now include an Interval picker that lets you control how metrics are bucketed — choose from 30 seconds, 1 minute, 5 minutes, 10 minutes, 1 hour, 1 day, 1 week, or 1 month depending on your selected date range

Use finer intervals (30 sec, 1 min) to pinpoint exact moments when latency spiked or error rates changed, and wider intervals (1 day, 1 week) for high-level trends over longer periods

Click and drag on any chart in App Analytics to select a time range and instantly zoom into that window — the date range updates automatically so you can isolate an incident, compare before-and-after a deployment, or drill into a traffic spike without manually adjusting date pickers

The Interval picker is available on both the Requests and Runners tabs in App Analytics, as well as in Error Analytics

App List View

Toggle between card view and a new compact list view on the app listing page using the view switcher in the toolbar.

List view displays your apps as rows with columns for type, runners, requests/min, latency, errors, machine type, and last updated — making it easy to scan and compare performance across many apps at once.

Your view preference is saved automatically, so you’ll see the same layout next time you visit.

Especially useful for teams managing dozens of serverless apps who need to quickly spot which apps need attention.

Error Types in API Responses

Error responses now include a machine-readable error_type field identifying the specific failure category — such as request_timeout, runner_disconnected, runner_scheduling_failure, or runner_server_error

Use error_type to build smarter retry logic: runner and timeout errors (e.g. runner_connection_timeout, startup_timeout ) are typically transient and worth retrying, while client errors like bad_request should not be.

Track error_type values in your monitoring to spot trends — for example, frequent runner_scheduling_failure errors may indicate you need to increase max_concurrency

See Error Reference — Request Error Types for the full list of error types, status codes, and handling guidance.

App Tagging

You can now create and assign custom tags to your serverless apps directly from the dashboard

Organize your app listing by tagging apps by team, project, model type, or any label that makes sense for your workflow

Filter by tag in the app list to quickly find the apps you need

Create, assign, and remove tags right from the app listing page — no CLI or API needed

Tags are visual labels for organizing your dashboard — they don’t affect app behavior, routing, or secrets. For isolated deployment stages (dev, staging, production), use Environments instead.

App Tagging

You can now create and assign custom tags to your serverless apps directly from the dashboard

Organize your app listing by tagging apps by team, project, model type, or any label that makes sense for your workflow

Filter by tag in the app list to quickly find the apps you need

Create, assign, and remove tags right from the app listing page — no CLI or API needed

Tags are visual labels for organizing your dashboard — they don’t affect app behavior, routing, or secrets. For isolated deployment stages (dev, staging, production), use Environments instead.