Bronto for Vercel

Store & Search 12 Months of Observability Data

Vercel's observability data is only retained for 30 days. With Bronto, you can keep logs for 12 months, always hot and instantly searchable. Resolve problems faster with high-context data designed for AI investigations.

1. Create a Bronto account

Try Bronto with a 2 week free trial

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2. Install the Bronto Connector in Vercel

Click this link to the Bronto Connector in the Vercel Marketplace.

Built-in AI troubleshooting that slashes your MTTRLogs drain

Need to fix an error? In Bronto, you can run AI investigations on-demand, automated, or via an MCP server. With all of your data in one place, you can correlate logs, traces, and code without jumping between tools.

Why Bronto + Vercel

Full-stack observability built for the AI era, wired straight into Vercel

Bronto is a full-stack intelligent observability platform built on BrontoDB, orders of magnitude more efficient than legacy tools. No more choosing between blindspots and overstretched budgets, especially as AI workloads push data volumes 10 to 100x higher.

Bronto dashboards showing Vercel traces, Web Analytics, and Speed Insights

Better outcomes

4-in-1

All Vercel drains, one home

Logs, Traces, Speed Insights, and Web Analytics in one place. Correlate Core Web Vitals with backend traces.

12mo

Always-hot retention

A full year of Vercel telemetry queryable in milliseconds. No cold tiers, no rehydration.

100x

More cost efficient

Built for AI-era data volumes, without the legacy hot-tier bill.

<1s

Sub-second search

Query TBs and PBs of Vercel logs and traces in milliseconds, consistently.

1-Click

End-to-end correlation

Jump from trace to logs to code in seconds.

Faster

MTTR with AI

Every alert ships with an investigation report. Bronto Scope walks you straight to the root cause.

Drain coverage

LogsRuntime logs from your Vercel deployments
TracesDistributed trace spans across your serverless functions
Speed InsightsCore Web Vitals and real user performance metrics
Web AnalyticsVisitor events and page view data

AI-native parsing

Parsed for AI, by default

Bronto auto-parses Vercel AI SDK and LLM traffic to the OpenTelemetry GenAI semantic conventions and OpenLLMetry. Fields like gen_ai.system, gen_ai.request.model, gen_ai.usage.*, prompts, completions, latency, and cost arrive structured and queryable without manual instrumentation.

OpenTelemetry GenAI conventions

Raw Vercel function logParsed → OTEL GenAI fields

Vercel logs → OTEL GenAI fields

Raw log
```
[POST] /api/chat 200  fn=us-east-1::chat  dur=1284ms  "model=gpt-4o tokens_in=842 tokens_out=311 cost=$0.0089"
```
Parsed
gen_ai.system=openaigen_ai.request.model=gpt-4ogen_ai.usage.input_tokens=842gen_ai.usage.output_tokens=311gen_ai.usage.cost_usd=0.0089duration_ms=1284
Raw log
```
[POST] /api/agent 200  fn=iad1::agent  dur=3421ms  "anthropic claude-3-5-sonnet in=1204 out=892 $0.0276"
```
Parsed
gen_ai.system=anthropicgen_ai.request.model=claude-3-5-sonnetgen_ai.usage.input_tokens=1204gen_ai.usage.output_tokens=892gen_ai.usage.cost_usd=0.0276duration_ms=3421
Raw log
```
[POST] /api/embed 200  fn=fra1::embed  dur=187ms  "model=text-embedding-3-small tokens=2048"
```
Parsed
gen_ai.system=openaigen_ai.request.model=text-embedding-3-smallgen_ai.usage.input_tokens=2048gen_ai.operation.name=embeddingsduration_ms=187

Auto-parsed at ingest · no manual instrumentation

Templates & Dashboards

Pre-built dashboards in one click

Bronto Express detects which Vercel drains you've connected and provisions the matching dashboards instantly. Each dashboard maps to a different drain type, so you can ship with any subset of Logs, Speed Insights, and Web Analytics.

View in docs

1 / 3

Vercel OverviewLogs drain

High-level view of request traffic, error rates, cache behaviour and firewall activity across your Vercel deployments.

Lambda Error Spike
Logs drain
10 events / 5 min
Critical
Lambda Crash
Logs drain
Any status code -1
Critical
5xx Error Rate Spike
Logs drain
> 5% of requests
Critical
High 4xx Rate
Logs drain
> 15% of requests
Warning
Firewall Deny Spike
Logs drain
100 denies / 5 min
Warning
LCP P75 Regression
Speed Insights drain
P75 > 2,500 ms
Warning
INP P75 Regression
Speed Insights drain
P75 > 200 ms
Warning

Lambda Errors

Logs drain

Error and fatal log events from lambda sources

Lambda Crashes

Logs drain

Events with status code -1 (process crash)

Firewall Denies

Logs drain

Requests denied by the Vercel WAF

Build Failures

Logs drain

Error-level events from the build source

Poor LCP Pages

Speed Insights drain

LCP measurements above 2,500 ms

Poor INP Pages

Speed Insights drain

INP measurements above 200 ms

Agentic observability

An observability platform agents can actually use

Bronto is designed for both humans and agents. Plug Vercel telemetry into your AI SRE, copilot, or vibe coding workflow without rebuilding your stack.

MCP server out of the box
Claude, Cursor, the AWS DevOps agent, and any MCP-compatible agent can query Vercel logs, traces, and metrics directly.
Cost-aware by design
Up to 100x cheaper than legacy hot tiers.
Context enrichment
Statement Patterns and Statement IDs group similar logs and link back to the exact code path, so agents reason over structure instead of raw text.
Structured, not stringy
Every field parsed at ingest, so agent tool calls return typed JSON instead of regex guesses.
OTEL GenAI + OpenLLMetry support
Agentic and non-agentic workloads in one place, at production scale.

Logs

Metrics

Traces

Intelligence layer

What you get

Everything you need to operate apps on Vercel

Streaming runtime logs

Every function invocation and edge log, no sampling required.

Distributed traces

Span-level visibility across serverless and edge functions, linked to the originating log.

Speed Insights and Web Vitals

LCP, INP, and CLS for real users, alongside your backend data.

Sub-second search at any scale

BrontoDB returns queries in milliseconds, across petabytes of telemetry.

Monitors and alerts

Anomaly detection and threshold monitors. Every alert ships with an investigation report.

Dashboards on your data

Build views by query, or vibe your own UI with BrontoVibe.

AI-Native & API-First

Get the full story faster with AI-integrated analysis

Access your data in Bronto instantly wherever you work. It's easy to build on top of our platform to create new dashboards, tools, and agentic workflows.

Claude Code asking Bronto MCP about latency spike

Bronto MCP Server

Plug Bronto straight into Claude, Cursor, and any MCP-aware agent so your logs, metrics, and traces become a first-class tool call.

Learn more Read blog

REST & Query API

Programmatic access to every query, dashboard, and alert.

CLI & Terminal

Search, tail, and pipe Bronto data right from your shell.

Build a live error rate table grouped by service, with a sparkline for the last 24 hours beside each row.Create a deploy tracker that highlights any spike in error logs within 10 minutes of a new deployment.Build a cost dashboard that shows my ingestion volume by team or project so I can see who's logging the most.Create an alert inbox where I can snooze, acknowledge, and add notes to firing alerts without leaving the UI.Build a trace waterfall viewer that lets me search by trace ID and see every span with its duration and status.Create a side-by-side log diff tool so I can compare log patterns from this week versus last week.Build a customer health scorecard that shows error counts and latency per customer ID in a sortable table.Create a terminal-style log tail UI that lets me filter by severity and keyword in real time.Build a live error rate table grouped by service, with a sparkline for the last 24 hours beside each row.Create a deploy tracker that highlights any spike in error logs within 10 minutes of a new deployment.Build a cost dashboard that shows my ingestion volume by team or project so I can see who's logging the most.Create an alert inbox where I can snooze, acknowledge, and add notes to firing alerts without leaving the UI.Build a trace waterfall viewer that lets me search by trace ID and see every span with its duration and status.Create a side-by-side log diff tool so I can compare log patterns from this week versus last week.Build a customer health scorecard that shows error counts and latency per customer ID in a sortable table.Create a terminal-style log tail UI that lets me filter by severity and keyword in real time.

Build an on-call dashboard that surfaces the top 5 most-fired alerts from the last 7 days with a count and owner.Create a latency heatmap across my services so I can see which endpoints are slowest at which times of day.Build a log volume chart that sends a Slack message when any service crosses a threshold I set.Create a feature flag impact viewer that shows log error rates before and after a flag was toggled.Build a multi-tenant log explorer where I can switch between customer environments with a single dropdown.Create a status page builder that auto-populates uptime percentages from my trace and log data.Build a root cause timeline that stitches together related log events into a single chronological incident view.Create a daily digest email that summarises my top errors, slowest endpoints, and ingestion volume from the past 24 hours.Build an on-call dashboard that surfaces the top 5 most-fired alerts from the last 7 days with a count and owner.Create a latency heatmap across my services so I can see which endpoints are slowest at which times of day.Build a log volume chart that sends a Slack message when any service crosses a threshold I set.Create a feature flag impact viewer that shows log error rates before and after a flag was toggled.Build a multi-tenant log explorer where I can switch between customer environments with a single dropdown.Create a status page builder that auto-populates uptime percentages from my trace and log data.Build a root cause timeline that stitches together related log events into a single chronological incident view.Create a daily digest email that summarises my top errors, slowest endpoints, and ingestion volume from the past 24 hours.

Vibe it with v0

Bronto's UI is open source. Fork it as a v0 template, prompt your way to custom dashboards and internal tools on top of the Bronto API, and ship straight to Vercel.

Learn more Read blog

AI SREs

Let autonomous agents triage incidents, investigate anomalies, and surface root cause in seconds.

IDEs & Coding Agents

Query your telemetry without leaving your IDE or coding agent of choice.

FAQ

Common questions

Give your Vercel logs a better home

Sub-second search, 12 months hot retention, and AI-native parsing for every drain.

Book a Demo Start free on Vercel

Bronto for Vercel

Store & Search 12 Months of Observability Data

1. Create a Bronto account

Try Bronto with a 2 week free trial

2. Install the Bronto Connector in Vercel

Full-stack observability built for the AI era, wired straight into Vercel

All Vercel drains, one home

Always-hot retention

More cost efficient

Sub-second search

End-to-end correlation

MTTR with AI

Parsed for AI, by default

Pre-built dashboards in one click

An observability platform agents can actually use

Everything you need to operate apps on Vercel

Streaming runtime logs

Distributed traces

Speed Insights and Web Vitals

Sub-second search at any scale

Monitors and alerts

Dashboards on your data

Get the full story faster with AI-integrated analysis

Bronto MCP Server

REST & Query API

CLI & Terminal

Vibe it with v0

AI SREs

IDEs & Coding Agents

Common questions

Which Vercel plan do I need?

What data can I send from Vercel?

Do I need to configure parsing?

How much does it cost?

Does Bronto support the Vercel AI SDK and agents?

Can I build my own UI on top of Bronto?

Give your Vercel logs a better home