Always-on tracing for production and preview traffic
Always-on tracing continuously collects traces from production and preview traffic, allowing you to debug real user requests without reproducing them. Control trace collection with sampling rules scoped to environments and paths, pay only for what you trace, and view traces in Logs or via the CLI.
With always-on tracing, you can now debug your real user requests without reproducing them.
Always-on tracing continuously collects traces from your production and preview traffic. Unlike , which only captures requests from your own browser, it samples your live traffic. session tracing
You control what's collected with sampling rules. Each rule sets a trace rate for an environment (All, Production, or Preview), optionally scoped to a path prefix like . Nothing is collected until you add a rule, so you pay only for what you choose to trace. /checkout
Infrastructure and outbound fetch spans are captured automatically. To add framework and custom spans, instrument your app with .@vercel/otel
To view a trace, open the Logs or run .vercel traces get <request-id>
Always-on tracing is is now in beta and available to teams on all plans. Tracing is priced at $0.50 per 1M span units. Traces follow your runtime log retention: 1 hour on Hobby, 1 day on Pro and 3 days on Enterprise.
Get started by adding a rule in or from the settings icon in . Learn more in the .Settings → TracingLogsdocumentation
Source: original entry ↗
More from Vercel
Follow Vercel to get its new changes in your feed and email digest.
Gemini 4 Argon now available on AI Gateway
Google's Gemini 4 Argon model is now available through Vercel's AI Gateway with support for coding, agentic work, and complex reasoning tasks. The model features a 1M token context window, multimodal input capabilities (text, image, PDF, video), tool calling, and configurable thinking levels for enhanced performance.
MAI-Image-2.6 and MAI-Image-2.6-Flash now available on AI Gateway
Microsoft's MAI-Image-2.6 and MAI-Image-2.6-Flash models are now available on AI Gateway, enabling image generation and editing through a single API key without requiring separate provider accounts. Both models support photorealistic imagery, text rendering, targeted edits, and up to five reference images with output sizes up to 1536×1536.
Repository checkout and Git LFS downloads are now faster
Repository checkout and Git LFS downloads are now faster on Vercel, reducing build preparation time. Average checkout time improved by 20%, with LFS-enabled projects seeing a 54% improvement and saving approximately 13 seconds per deployment.