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Vercel Upgrades Logs System with Tree and Waterfall Views

Vercel introduces intuitive Tree and Waterfall views, helping developers quickly optimize page load times.

Tier 2 · sources 51% confidence Reviewed
Sources vercel.com

Cloud platform Vercel has officially updated its performance monitoring tool (Tracing) within Vercel Logs, adding two new visual display modes: Tree and Waterfall. This update allows software developers to easily monitor span hierarchies, critical paths, and application response times directly within the log interface without switching screens.

Detailed Developments

According to an official announcement from Vercel on July 10, 2026, the Traces feature is now significantly more visual. Previously, analyzing complex logs often required developers to export data to third-party tools or manually sift through raw text lines. With the new interface, engineers can quickly isolate slow code segments to improve user experience.

Technical & Technology Analysis

Delving into the technical aspects, the Tree view groups spans based on their parent-child relationships. Upon loading, spans are automatically sorted by execution duration in descending order to highlight the slowest tasks first. Meanwhile, the Waterfall view places every span on a single chronological axis, helping programmers pinpoint exactly which tasks are running in parallel and where time is being wasted.

Expert Opinions & Insights

Tech observers evaluate this as a highly practical improvement by Vercel to compete with professional APM solutions like Datadog or New Relic. By deeply integrating these chart types directly into its Logs viewer, Vercel significantly reduces context switching costs for DevOps engineers when troubleshooting system issues in real time.

Impact & Future

This upgrade strengthens Vercel's position in providing an all-in-one development platform. For Vietnamese developers running large-scale Next.js systems, this new Traces feature will accelerate debugging speed and optimize server costs by early detecting bottlenecked database queries or APIs.