7 releases · 1 product · 1 Pricing
The new Serverless Usage page (Serverless → Usage) provides attributable, dimensioned reporting of serverless compute spend in the dashboard. Compute reported in machine-seconds , broken down per app, environment, and machine type. Spend is split by price category: Reserve, Burst, On-Demand, and List.
The Usage & Billing page has been rebuilt to support usage attribution (the Settings "Overview" tab is now "Usage"). Filter by auth method, API key, and login username to attribute consumption to a specific credential or user. Normalized app names and revised charts improve readability and export.
- New GET /v1/serverless/usage endpoint reports your own serverless compute usage , the machine-seconds each of your deployed apps consumed, priced with your machine rates and net of discounts Break usage down per app, environment, and machine type, with time_series and summary views over any date range and timeframe Filter by app name with app (exact, one...
The new Capacity page (Serverless → Capacity) reports GPU consumption against your account limit, providing visibility into available headroom before requests begin queuing. Account-wide GPU usage over time, plotted against your limit , with baseline and burst reference lines indicating utilization relative to reserved capacity.
The new X-Fal-Retry-Config request header replaces all-or-nothing retry behavior with a separate retry budget per failure condition, allowing retry policy to be tuned independently for each failure mode.
Managing a large number of serverless apps is now easier with new filtering and sorting controls directly on the apps page . Filter by machine type to instantly isolate apps running on specific hardware (e.g., H100, A100, L40) and monitor targeted resource allocation.
The GET /v1/models/analytics and GET /v1/serverless/analytics endpoints now support fourteen additional metrics via the expand parameter, matching the metric families the dashboard surfaces: Error type breakdown , startup_error_count , connection_error_count , timeout_error_count , runtime_error_count for finer-grained failure attribution beyond the...
Releasesby Glyph