VQV Signal
Vercel has introduced support for custom metrics in its Observability platform, allowing developers to emit and analyze their own metrics directly from Vercel Functions. Using the metric() function from the @vercel/functions package, users can track values like request latency or business events wi...
Vercel has introduced support for custom metrics in its Observability platform, allowing developers to emit and analyze their own metrics directly from Vercel Functions. Using the metric() function from the @vercel/functions package, users can track values like request latency or business events wi...
AI-assisted summary based on the listed source.
You can now emit your own metrics directly from your Vercel Functions and analyze them alongside Vercel's built-in observability data. Use the metric() function from the @vercel/functions package to record any value you care about, like request latency or business events, and attach attributes to filter and group...
This update enables developers to gain deeper insights by combining their own application-specific metrics with Vercel's built-in observability data. It enhances monitoring capabilities and helps teams better understand performance and business impact within a single platform.
Teams using AI at work may want to compare this against current productivity and review workflows.
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Vercel has a source-backed launch with coverage spanning availability.
VQV surfaced this signal because it is recent, relevant to Developer Tools, connected to Vercel Blog.
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