Skip to main content Inicio Creadores jeremylongshore claude-code-plugins-plus-skills vercel-observability
vercel-observability Set up Vercel observability with runtime logs, analytics, log drains, and OpenTelemetry tracing.
Use when implementing monitoring for Vercel deployments, setting up log drains,
or configuring alerting for function errors and performance.
Trigger with phrases like "vercel monitoring", "vercel metrics",
"vercel observability", "vercel logs", "vercel alerts", "vercel tracing".
Ir a la instalación Skills Marketplace Descubre y explora habilidades de IA creadas por la comunidad.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Mostrar detalles del prompt Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vercel-observabilityEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.
Descargar Zip Descargando... Ocupaciones relacionadas SOC
Basado en la clasificación ocupacional SOC
Explorador de archivos
5 archivos name vercel-observability description Set up Vercel observability with runtime logs, analytics, log drains, and OpenTelemetry tracing.
Use when implementing monitoring for Vercel deployments, setting up log drains,
or configuring alerting for function errors and performance.
Trigger with phrases like "vercel monitoring", "vercel metrics",
"vercel observability", "vercel logs", "vercel alerts", "vercel tracing".
allowed-tools Read, Write, Edit, Bash(vercel:*), Bash(curl:*) version 1.18.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","vercel","monitoring","observability","logging"] compatibility Designed for Claude Code, also compatible with Codex and OpenClaw
Vercel Observability
Overview
Configure comprehensive observability for Vercel deployments using built-in analytics, runtime logs, log drains to external providers, OpenTelemetry integration, and custom instrumentation. Covers the full observability stack from function-level metrics to end-user experience monitoring.
Prerequisites
Vercel Pro or Enterprise plan (for log drains and extended retention)
External logging provider (Datadog, Axiom, Sentry) — optional
OpenTelemetry SDK — optional
Instructions
Step 1: Enable Vercel Analytics
In the Vercel dashboard:
Go to Analytics tab
Enable Web Analytics (Core Web Vitals, page views)
Enable Speed Insights (real user performance data)
import { Analytics } from '@vercel/analytics/react' ;
import { SpeedInsights } from '@vercel/speed-insights/next' ;
export default function RootLayout ({ children } ) {
return (
<html >
<body >
{children}
<Analytics />
<SpeedInsights />
</body >
</html > Install: npm install @vercel/analytics @vercel/speed-insights
Step 2: Runtime Logs
vercel logs https://my-app.vercel.app --follow
vercel logs https://my-app.vercel.app --level=error
"Authorization: Bearer $VERCEL_TOKEN "
"https://api.vercel.com/v2/deployments/dpl_xxx/events?limit=50&direction=backward"
'.[] | {timestamp: .created, level: .level, message: .text}'
Function invocation start/end with duration
console.log/warn/error output from functionsEdge Middleware execution logs
HTTP request/response metadata
Step 3: Structured Logging in Functions
interface LogEntry {
level : 'info' | 'warn' | 'error' ;
message : string ;
requestId ?: string ;
duration ?: number ;
[key : string ]: unknown ;
}
export function log (entry : LogEntry void {
const output = JSON .stringify ({
...entry,
timestamp : new Date ().toISOString (),
region : process.env .VERCEL_REGION ,
env : process.env .VERCEL_ENV ,
});
switch (entry.level ) {
case 'error' : console .error (output); break ;
case 'warn' : console .warn (output); break ;
default : console .log (output);
}
}
export async function GET (request : Request const requestId = crypto.randomUUID ();
const start = Date .now ();
try {
const data = await fetchData ();
log ({ level : 'info' , message : 'Fetched data' , requestId, duration : Date .now () - start });
return Response .json (data);
} catch (error) {
log ({ level : 'error' , message : 'Data fetch failed' , requestId, error : String (error) });
return Response .json ({ error : 'Internal error' , requestId }, { status : 500 });
}
}
Step 4: Log Drains (External Providers) Configure log drains to send all Vercel logs to your logging provider:
In dashboard: Settings > Log Drains > Add
Provider Type Setup Datadog HTTP API key + site URL Axiom HTTP API token + dataset Sentry HTTP DSN Custom HTTP/NDJSON Any HTTPS endpoint Grafana Loki HTTP Push URL + auth
Runtime logs : function invocations, console outputBuild logs : build step output, warnings, errorsStatic logs : CDN access logs (edge)Firewall logs : WAF events
curl -X POST "https://api.vercel.com/v2/integrations/log-drains" \
-H "Authorization: Bearer $VERCEL_TOKEN " \
-H "Content-Type: application/json" \
-d '{
"name": "my-datadog-drain",
"type": "json",
"url": "https://http-intake.logs.datadoghq.com/api/v2/logs",
"headers": {"DD-API-KEY": "your-datadog-api-key"},
"sources": ["lambda", "edge", "build", "static"]
}'
Step 5: OpenTelemetry Integration
import { NodeSDK } from '@opentelemetry/sdk-node' ;
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http' ;
import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node' ;
export function register (const sdk = new NodeSDK ({
traceExporter : new OTLPTraceExporter ({
url : process.env .OTEL_EXPORTER_OTLP_ENDPOINT ,
}),
instrumentations : [getNodeAutoInstrumentations ()],
serviceName : 'my-vercel-app' ,
});
sdk.start ();
}
module .exports = {
experimental : {
instrumentationHook : true ,
},
};
Step 6: Error Tracking with Sentry npx @sentry/wizard@latest -i nextjs
import * as Sentry from '@sentry/nextjs' ;
Sentry .init ({
dsn : process.env .NEXT_PUBLIC_SENTRY_DSN ,
environment : process.env .VERCEL_ENV ,
release : process.env .VERCEL_GIT_COMMIT_SHA ,
tracesSampleRate : process.env .VERCEL_ENV === 'production' ? 0.1 : 1.0 ,
});
Monitoring Dashboard Checklist Metric Source Alert Threshold Error rate Runtime logs > 1% of requests P95 function latency Vercel Analytics > 2s Cold start frequency Runtime logs > 20% of invocations Build success rate Build logs Any failure Core Web Vitals (LCP) Speed Insights > 2.5s Edge cache hit rate Static logs < 80%
Output
Vercel Analytics and Speed Insights enabled
Structured JSON logging in all functions
Log drains configured to external provider
Error tracking with Sentry or equivalent
OpenTelemetry tracing for distributed systems
Error Handling Error Cause Solution Logs missing Log retention expired (1hr free, 30d with Plus) Enable log drains for persistence Analytics not tracking Missing <Analytics /> component Add to root layout Log drain not receiving Wrong URL or auth headers Test the endpoint directly with curl Sentry not capturing errors DSN not set in production env Add NEXT_PUBLIC_SENTRY_DSN to Production scope OTEL traces missing instrumentation.ts not loaded Enable instrumentationHook in next.config.js
Resources
Next Steps For incident response, see vercel-incident-runbook.
