The Tool Desk
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“Backend log aggregation API” can suggest a single Next.js endpoint that collects and searches all logs. The documentation covered here instead describes an instrumentation convention, Vercel’s runtime-log search and CLI, and Log Drains for longer storage. It does not establish one universal aggregation API or the available drain destinations and their terms.
How Next.js instrumentation fits into backend logging
Next.js instrumentation is the application-side integration point for monitoring and logging tools. The Next.js instrumentation guide, last updated February 27, 2026, says to create instrumentation.ts or instrumentation.js at the project root. If the project uses a src directory, place the file there alongside pages and app.
Export a register function from the file. Next.js calls it when a server instance starts, and it must finish before that instance handles requests. The guide demonstrates initializing OpenTelemetry with @vercel/otel. This is where an app can initialize an observability integration; it is not itself a searchable log store or retention policy.
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Report request errors through the instrumentation API
The instrumentation API also supports an optional onRequestError export for reporting captured server errors to an observability provider. If the handler performs asynchronous work, await it so the reporting work can complete. This gives an integration a path to receive request-error information; it does not change the retention period of Vercel runtime logs.
What Vercel runtime logs include and how to search them
Vercel runtime logs include output from Vercel Function invocations in preview and production deployments, including console.log output. Vercel describes the log view as real-time and grouped by request. The vercel logs CLI command can narrow results by time range, deployment, branch, environment, level, status code, source, request ID, and full-text message query. It can also emit JSON Lines for downstream processing. The CLI documentation was last updated February 10, 2026.
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For an incident, make the query specific enough to isolate the affected production window and deployment. A request ID can help follow one request; a deployment selector helps separate a newly introduced error from earlier behavior. JSON Lines can feed another processing step, but the available sources do not define a particular downstream schema or aggregation service.
Runtime log limits
Vercel’s Runtime Logs documentation lists these per-request limits: 256 lines, up to 256 KB per line, and up to 1 MB of total log output. When a request exceeds the entry limits, only its most recent logs can be queried. These limits matter when deciding whether runtime logs alone are sufficient for unusually verbose or high-volume diagnostics.
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How long Vercel keeps runtime logs
Vercel’s Runtime Logs plan table gives the following retention periods. The table is specific to runtime log records; it is not a general promise about exported logs or deployment artifacts.
| Vercel plan | Runtime log retention |
|---|---|
| Hobby | 1 hour |
| Pro | 1 day |
| Pro with Observability Plus | 30 days |
| Enterprise | 3 days |
| Enterprise with Observability Plus | 30 days |
Vercel also says Observability Plus users can view up to 14 consecutive days of runtime logs within that 30-day period. The separate Vercel Logs overview describes runtime data as retained for 3 days; for plan-specific periods, use the Runtime Logs table above rather than treating that overview figure as universal.
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Keep runtime-log and deployment retention separate
Deployment retention concerns deployment artifacts and recovery, not how long runtime log records remain searchable. Vercel’s Deployment Retention documentation describes a 30-day recovery period for successfully built deployments marked for deletion. That period does not extend runtime log history.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When to use a Log Drain for longer history
Vercel identifies Log Drains as a way to store logs longer than the built-in runtime-log retention window. Before relying on one, confirm that the destination is available to your project and check the destination’s retention, data location, and other applicable terms. Those details depend on the selected destination and are not specified by the cited Vercel overview.
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Choose an export approach with incident diagnosis in mind: preserve deployment identity and useful request context so exported errors can still be compared with a known-good deployment. Also check how the destination handles event size and volume; the runtime-log limits above do not establish the limits or retention behavior of a separate destination.
How to use logs during a production rollback
Vercel’s rollback guide, last updated March 17, 2026, prioritizes restoring service when production is broken. Its rollback mechanism routes production traffic to a prior deployment without rebuilding, and the routing change takes effect within seconds. Rollback is not a guarantee that stateful side effects or external dependencies will be repaired, so treat it as a way to restore a known deployment while investigating the cause.
- Establish impact. Use a bounded time range and production/error filters to determine whether errors are active and which deployment is affected.
- Roll back if service impact warrants it. After the routing change, search production logs again to verify whether the symptoms have stopped; do not assume that a successful rollback command proves recovery.
- Compare deployments. Compare errors from the suspected failing deployment with those from the last known-good deployment, aligning the deployment identity and time range. If the cause is unclear, Vercel’s guide suggests deployment bisection.
- Validate the correction in preview. Deploy the proposed fix to a preview deployment and inspect its logs before shipping it to production.
- Deploy and confirm. After shipping the fix, check production logs to confirm the expected behavior.
Know the rollback scope for your plan
According to Vercel’s rollback guide, Hobby can roll back only to the immediately previous production deployment. Pro and Enterprise can specify an older deployment. Check the target carefully: rollback changes which deployment receives production traffic, but the guide does not claim it reverses database changes, external service actions, or other stateful effects.
Quick Recap
A practical logging setup checklist
- Place the instrumentation file at the project root or in
srcalongsidepagesandapp, and ensureregistercompletes before requests are handled. - Initialize the observability integration you use; the Next.js guide’s OpenTelemetry example uses
@vercel/otel. - If reporting captured request errors with
onRequestError, await asynchronous reporting work. - Use the CLI’s deployment, environment, time, level, status, source, request-ID, and text filters to make incident searches actionable.
- Choose a retention plan based on the history the team needs, and verify actual project eligibility rather than assuming every plan has the same window.
- If built-in retention is too short, verify the Log Drain destination and its own storage terms before depending on it.
- Keep deployment identifiers with exported logs and use preview validation plus post-rollback log checks in the incident process.
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