NestJS Request and Workflow Telemetry: from boundary to verified row
Use NestJS Request and Workflow Telemetry at a controlled application boundary, keep the event contract small, and verify a known outcome before building aggregate views.
- 1
Choose the outcome
NestJS API monitoring
- 2
Define the contract
request_id, controller, handler, route_template, and method
- 3
Instrument the boundary
Apply an interceptor at the narrowest useful scope and derive route_template from framework metadata rather than req.originalUrl.
- 4
Verify the evidence
Exercise a known fixture, then inspect api_request_completed for one correctly typed terminal row.
Before you start
Prerequisites and boundaries
- telemetry-sh initialized in a server-only NestJS provider or module
- A route-template resolver that avoids raw URLs and path identifiers
- An exception taxonomy and a policy for non-blocking versus durable delivery
Delivery setup
Install and initialize server-side
Import telemetry-sh in server-only code and initialize it once with process.env.TELEMETRY_API_KEY. Keep ingestion credentials out of browser bundles, client-visible environment variables, source control, logs, and exception messages.
npm installation
npm install telemetry-sh- 1Prepare one reusable server-side delivery client with bounded network behavior.
- 2Add the outcome event at the success, failure, retry, or timeout boundary.
- 3Send controlled fixtures and inspect the stored rows before enabling an alert.
Snippet
Start with one structured event
Add this shape where the workflow completes, fails, or retries. Then build the dashboard from real fields.
NestJS Request and Workflow Telemetry event
@Injectable()
export class OutcomeInterceptor implements NestInterceptor {
intercept(context: ExecutionContext, next: CallHandler) {
const request = context.switchToHttp().getRequest();
const response = context.switchToHttp().getResponse();
const startedAt = performance.now();
let errorType: string | undefined;
return next.handle().pipe(
catchError((error) => {
errorType = classifyError(error);
throw error;
}),
finalize(() => {
const statusCode = response.statusCode;
void telemetry.log("api_request_completed", {
request_id: request.id,
controller: context.getClass().name,
handler: context.getHandler().name,
route_template: resolveRouteTemplate(context),
method: request.method,
status_code: statusCode,
status: statusCode >= 500 ? "failed" : "success",
latency_ms: Math.round(performance.now() - startedAt),
error_type: errorType,
release: process.env.APP_RELEASE,
}).catch(recordTelemetryFailure);
}),
);
}
}Event contract
request_id, controller, handler, route_template, and method
status, status_code, latency_ms, error_type, and release
tenant_id, plan, or feature only when explicitly approved
Implementation checkpoints
Checkpoint 1
Apply an interceptor at the narrowest useful scope and derive route_template from framework metadata rather than req.originalUrl.
Checkpoint 2
The example accounts for the delivery promise but does not delay the HTTP response; use an application-owned outbox when the event is compliance or billing critical.
Checkpoint 3
Keep exception objects, request bodies, authorization headers, cookies, query strings, and raw path parameters out of the payload.
Verification
Prove the event arrived
Run this after exercising known success and failure cases. Replace the fallback table name if your final event contract differs from the snippet.
NestJS Request and Workflow Telemetry verification query
SELECT *
FROM api_request_completed
ORDER BY timestamp_utc DESC
LIMIT 20;Implementation references
Review the event contract, data-safety guidance, and upstream primary documentation before enabling a new production path.
Production boundary
Keep the outcome event small and recoverable
This pattern provides
- A bounded, SQL-ready outcome beside the upstream workflow.
- Stable fields for dashboards, alerts, and cross-event correlation.
- A fixture-driven path for validating success, failure, retry, and timeout behavior.
This pattern does not provide
- An OTLP exporter, automatic collection pipeline, or replacement for detailed traces and diagnostic logs.
- Exactly-once delivery merely because the payload contains an event ID.
- Permission to collect raw provider payloads, user content, credentials, or regulated data.
Event schema starting points
Event contracts for this workflow
Review the row grain, emit boundary, required types, privacy classes, example payload, and validation checklist before adapting a query or snippet to production.
Related product capability
Continue this workflow in Alerts
Promote the reviewed reliability query into an owned threshold and response workflow.
Related SQL recipes
Answer the next question with SQL
Run the query against the structured fields from this workflow, inspect the example result, and turn a useful answer into a dashboard or alert.
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Open recipeCalculate API Timeout Rate by Route
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