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Next.js 15 Fullstack (App Router + Server Actions) · Lekcja

Przechwytywanie błędów Server Actions i telemetrii

Raportuj błędy akcji i metryki wydajności do backendu obserwowalności wraz z kontekstem użytkownika.

Przechwytywanie błędów Server Actions i telemetrii to bezpłatna lekcja Next.js 15 Fullstack (App Router + Server Actions) na CoddyKit. To lekcja 4 z 4. Możesz przeczytać całą lekcję poniżej za darmo — a potem ćwiczyć ją interaktywnie w przeglądarce z wbudowanym edytorem kodu i tutorem AI dostępnym 24/7. To część ścieżki edukacyjnej Next.js 15 Fullstack (App Router + Server Actions), a Twój postęp synchronizuje się między webem a aplikacją CoddyKit. Kurs Next.js 15 Fullstack (App Router + Server Actions) zawiera 4 lekcji w sumie.

Części tej lekcji nie zostały jeszcze przetłumaczone i są wyświetlane po angielsku.

Why Server Action Failures Need Special Treatment

Server Actions in Next.js 15 run on the server, outside the browser's error boundary. When a Server Action throws, the client receives a generic error — no stack trace, no context, no telemetry.

This means standard try/catch in the action is necessary but not sufficient. You also need to:

  • Capture the error with full server-side context (user ID, action name, request metadata)
  • Forward structured telemetry to an observability backend (e.g. OpenTelemetry, Sentry, Datadog)
  • Return a safe, serialisable error payload to the client — never expose raw stack traces

In this lesson you will build a complete, production-grade error-and-metrics pipeline around Server Actions.

Structuring a Safe Action Result Type

Before adding telemetry, agree on the shape every Server Action returns. A discriminated union makes error handling exhaustive on the client and prevents accidental data leaks.

Define this once in a shared types file and import it everywhere:

// lib/action-result.ts
export type ActionSuccess<T> = {
  ok: true;
  data: T;
  durationMs: number;
};

export type ActionFailure = {
  ok: false;
  code: string;       // machine-readable, e.g. 'VALIDATION_ERROR'
  message: string;    // human-readable, safe to show
  durationMs: number;
};

export type ActionResult<T> = ActionSuccess<T> | ActionFailure;

// Helper constructors
export function ok<T>(data: T, durationMs: number): ActionSuccess<T> {
  return { ok: true, data, durationMs };
}

export function fail(code: string, message: string, durationMs: number): ActionFailure {
  return { ok: false, code, message, durationMs };
}

Instrumenting Duration at the Action Level

Performance metrics begin with measuring how long each action takes. Wrap every action body with a performance.now() call so duration is always available for telemetry — even when the action fails.

The pattern below ensures durationMs is captured in both success and error paths:

// app/actions/create-post.ts
'use server';

import { ok, fail, type ActionResult } from '@/lib/action-result';
import { db } from '@/lib/db';

export async function createPost(
  _prev: ActionResult<{ id: string }> | null,
  formData: FormData
): Promise<ActionResult<{ id: string }>> {
  const start = performance.now();

  try {
    const title = formData.get('title') as string;
    if (!title?.trim()) {
      return fail('VALIDATION_ERROR', 'Title is required', performance.now() - start);
    }

    const post = await db.post.create({ data: { title } });
    return ok({ id: post.id }, performance.now() - start);
  } catch (err) {
    return fail('INTERNAL_ERROR', 'Failed to create post', performance.now() - start);
  }
}

Capturing User Context in Server Actions

Observability is only useful when you know who experienced an error. Server Actions have access to the same server context as Route Handlers, so you can read the session before running business logic.

Use Next-Auth (or any session library) to attach user context to every telemetry event:

// lib/auth-context.ts
import { auth } from '@/auth';   // next-auth v5

export type UserContext = {
  userId: string | null;
  email:  string | null;
  role:   string | null;
};

export async function getUserContext(): Promise<UserContext> {
  const session = await auth();
  return {
    userId: session?.user?.id   ?? null,
    email:  session?.user?.email ?? null,
    role:   (session?.user as { role?: string })?.role ?? null,
  };
}

Building a Telemetry Reporter

Centralise all telemetry calls in a single reporter module. This keeps observability logic out of business code and makes it easy to swap providers (Sentry, Datadog, OpenTelemetry) without touching action files.

The reporter records:

  • Errors — with user context, action name, and serialised error
  • Metrics — action name, outcome, and duration for latency percentiles
// lib/telemetry.ts
import type { UserContext } from './auth-context';

export type TelemetryEvent = {
  action:    string;
  ok:        boolean;
  durationMs: number;
  code?:     string;
  userId?:   string | null;
  email?:    string | null;
};

export async function reportEvent(event: TelemetryEvent): Promise<void> {
  // Replace with your actual provider SDK call, e.g.:
  //   Sentry.captureMessage(...) or
  //   otelMeter.histogram(...)
  if (process.env.NODE_ENV === 'production') {
    await fetch(process.env.OBSERVABILITY_INGEST_URL!, {
      method:  'POST',
      headers: { 'Content-Type': 'application/json',
                 'X-Api-Key':   process.env.OBSERVABILITY_API_KEY! },
      body:    JSON.stringify({ ...event, timestamp: Date.now() }),
    });
  } else {
    console.info('[telemetry]', event);
  }
}

export async function reportError(
  action: string,
  err: unknown,
  ctx: UserContext,
  durationMs: number
): Promise<void> {
  const message = err instanceof Error ? err.message : String(err);
  console.error(`[action:${action}] ${message}`, { userId: ctx.userId });

  await reportEvent({
    action, ok: false, durationMs,
    code:   'INTERNAL_ERROR',
    userId: ctx.userId,
    email:  ctx.email,
  });
}

Composing the Full Instrumented Action

Now combine user context, duration measurement, and telemetry reporting into one coherent Server Action. The key rule is: always report before returning — even on the happy path, so you have latency data for successful calls too.

// app/actions/create-post.ts  (final version)
'use server';

import { ok, fail, type ActionResult } from '@/lib/action-result';
import { getUserContext }              from '@/lib/auth-context';
import { reportEvent, reportError }   from '@/lib/telemetry';
import { db }                         from '@/lib/db';

export async function createPost(
  _prev: ActionResult<{ id: string }> | null,
  formData: FormData
): Promise<ActionResult<{ id: string }>> {
  const start = performance.now();
  const ctx   = await getUserContext();

  try {
    const title = (formData.get('title') as string)?.trim();
    if (!title) {
      const dur = performance.now() - start;
      await reportEvent({ action: 'createPost', ok: false,
                          code: 'VALIDATION_ERROR', durationMs: dur,
                          userId: ctx.userId });
      return fail('VALIDATION_ERROR', 'Title is required', dur);
    }

    const post = await db.post.create({ data: { title, authorId: ctx.userId! } });
    const dur  = performance.now() - start;

    await reportEvent({ action: 'createPost', ok: true,
                        durationMs: dur, userId: ctx.userId });
    return ok({ id: post.id }, dur);
  } catch (err) {
    const dur = performance.now() - start;
    await reportError('createPost', err, ctx, dur);
    return fail('INTERNAL_ERROR', 'Failed to create post', dur);
  }
}

Extracting a withAction Higher-Order Wrapper

Duplicating context-fetch and telemetry calls in every action creates noise and inconsistency. Extract a higher-order wrapper, withAction, that handles the boilerplate automatically.

The wrapper:

  • Reads user context once at the start
  • Measures duration around the inner function
  • Reports success and failure telemetry
  • Translates unknown thrown errors into safe ActionFailure values
// lib/with-action.ts
import { ok, fail, type ActionResult } from './action-result';
import { getUserContext, type UserContext } from './auth-context';
import { reportEvent, reportError }        from './telemetry';

type InnerFn<TInput, TOutput> = (
  input: TInput,
  ctx:   UserContext
) => Promise<ActionResult<TOutput>>;

export function withAction<TInput, TOutput>(
  name:  string,
  inner: InnerFn<TInput, TOutput>
) {
  return async (input: TInput): Promise<ActionResult<TOutput>> => {
    const start = performance.now();
    const ctx   = await getUserContext();

    try {
      const result = await inner(input, ctx);
      const dur    = performance.now() - start;

      await reportEvent({
        action: name, ok: result.ok,
        code:   result.ok ? undefined : (result as { code: string }).code,
        durationMs: dur, userId: ctx.userId,
      });
      return result;
    } catch (err) {
      const dur = performance.now() - start;
      await reportError(name, err, ctx, dur);
      return fail('INTERNAL_ERROR', 'An unexpected error occurred', dur);
    }
  };
}

Using withAction in a Real Server Action

With withAction in place, individual action files become concise and focused purely on business logic. All observability wiring is invisible to the developer writing the action.

// app/actions/delete-post.ts
'use server';

import { ok, fail } from '@/lib/action-result';
import { withAction }  from '@/lib/with-action';
import { db }          from '@/lib/db';

export const deletePost = withAction(
  'deletePost',
  async ({ postId }: { postId: string }, ctx) => {
    if (!ctx.userId) {
      return fail('UNAUTHENTICATED', 'You must be logged in', 0);
    }

    const post = await db.post.findUnique({ where: { id: postId } });
    if (!post) {
      return fail('NOT_FOUND', 'Post not found', 0);
    }
    if (post.authorId !== ctx.userId) {
      return fail('FORBIDDEN', 'You do not own this post', 0);
    }

    await db.post.delete({ where: { id: postId } });
    return ok({ deleted: true }, 0);   // duration injected by wrapper
  }
);

// Usage in a Client Component:
// const result = await deletePost({ postId: '...' });
// if (!result.ok) toast.error(result.message);

Connecting to OpenTelemetry Traces

Metric events are useful, but distributed traces let you see exactly where time was spent across DB queries, external API calls, and middleware. Next.js 15 has built-in OpenTelemetry support via the instrumentation.ts file.

Register your OTel SDK once, then create spans inside actions to complement the automatic HTTP spans:

// instrumentation.ts  (Next.js 15 — runs once on server start)
export async function register() {
  if (process.env.NEXT_RUNTIME === 'nodejs') {
    const { NodeSDK }             = await import('@opentelemetry/sdk-node');
    const { OTLPTraceExporter }   = await import('@opentelemetry/exporter-trace-otlp-http');
    const { Resource }            = await import('@opentelemetry/resources');
    const { SEMRESATTRS_SERVICE_NAME } = await import('@opentelemetry/semantic-conventions');

    const sdk = new NodeSDK({
      resource: new Resource({
        [SEMRESATTRS_SERVICE_NAME]: 'my-nextjs-app',
      }),
      traceExporter: new OTLPTraceExporter({
        url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT,
      }),
    });

    sdk.start();
  }
}

Adding Custom Spans Inside withAction

Once OTel is registered, you can enrich traces with custom spans directly inside the withAction wrapper. This creates a parent span for the entire action, which automatically parents any child spans created by DB clients or fetch calls during the action's execution.

// lib/with-action.ts  (OTel-enhanced version)
import { trace, SpanStatusCode } from '@opentelemetry/api';
import { ok, fail, type ActionResult } from './action-result';
import { getUserContext, type UserContext } from './auth-context';
import { reportEvent, reportError }        from './telemetry';

const tracer = trace.getTracer('server-actions');

type InnerFn<I, O> = (input: I, ctx: UserContext) => Promise<ActionResult<O>>;

export function withAction<I, O>(name: string, inner: InnerFn<I, O>) {
  return async (input: I): Promise<ActionResult<O>> => {
    return tracer.startActiveSpan(`action.${name}`, async (span) => {
      const start = performance.now();
      const ctx   = await getUserContext();

      span.setAttributes({
        'action.name':   name,
        'user.id':       ctx.userId ?? 'anonymous',
        'user.email':    ctx.email  ?? '',
      });

      try {
        const result = await inner(input, ctx);
        const dur    = performance.now() - start;

        span.setAttributes({ 'action.ok': result.ok, 'action.duration_ms': dur });
        span.setStatus({ code: result.ok ? SpanStatusCode.OK : SpanStatusCode.ERROR });
        span.end();

        await reportEvent({ action: name, ok: result.ok, durationMs: dur, userId: ctx.userId });
        return result;
      } catch (err) {
        const dur = performance.now() - start;
        span.recordException(err as Error);
        span.setStatus({ code: SpanStatusCode.ERROR });
        span.end();

        await reportError(name, err, ctx, dur);
        return fail('INTERNAL_ERROR', 'An unexpected error occurred', dur);
      }
    });
  };
}

Surfacing Action Errors in a Client Error Boundary

Even with perfect server-side telemetry, the client still needs to handle failures gracefully. Use useActionState to relay the ActionResult back to the UI, and pair it with a React Error Boundary for unexpected render errors:

  • useActionState propagates the ActionFailure payload so you can show inline messages
  • A top-level error.tsx in the App Router catches errors that escape action boundaries (e.g. during streaming)
  • Log client-side boundary triggers back to the same telemetry pipeline via a dedicated API route to keep a unified error view

This completes the loop: errors are captured on the server with full context and surfaced on the client with safe, user-friendly messages.

Knowledge Check: Telemetry in Server Actions

Test your understanding of the key design decisions in this lesson.

Lesson Recap: Server Action Telemetry Pipeline

In this lesson you built a complete observability pipeline for Next.js 15 Server Actions:

  • ActionResult discriminated union — a consistent, serialisable return type that distinguishes success from failure without exposing server internals to the client
  • Duration measurement — performance.now() wrapping every action body, captured on both success and error paths
  • User context — reading the session once at the start of each action so every telemetry event carries userId and email
  • Centralised telemetry reporter — a single module that forwards structured events to your observability backend, keeping business logic clean
  • withAction wrapper — a higher-order function that composes context, duration, and telemetry automatically so individual actions stay focused on business logic
  • OpenTelemetry integration — registering the OTel SDK in instrumentation.ts and creating parent spans inside withAction so DB and external API calls appear as child spans in distributed traces
  • Client error surfacing — using useActionState and error.tsx to relay safe failure messages to users while keeping raw errors server-side

Together these layers give you full visibility into every action invocation — who triggered it, whether it succeeded, how long it took, and exactly where it failed.

Często zadawane pytania

Czy lekcja „Przechwytywanie błędów Server Actions i telemetrii” jest bezpłatna?

Tak — pełny tekst „Przechwytywanie błędów Server Actions i telemetrii” jest dostępny za darmo tutaj w sieci. Aby ćwiczyć ją interaktywnie (wbudowany edytor kodu i tutor AI dostępny 24/7) i odblokować resztę kursu Next.js 15 Fullstack (App Router + Server Actions), przejdź na CoddyKit PRO. Kurs Next.js 15 Fullstack (App Router + Server Actions) zawiera 4 lekcji w sumie.

Co nauczysz się w „Przechwytywanie błędów Server Actions i telemetrii”?

Raportuj błędy akcji i metryki wydajności do backendu obserwowalności wraz z kontekstem użytkownika. Ćwiczysz Next.js 15 Fullstack (App Router + Server Actions) z praktycznym kodem, który uruchamiasz bezpośrednio w przeglądarce, a tutor AI dostępny 24/7 odpowiada na Twoje pytania podczas pracy nad lekcją.

Czy potrzebuję doświadczenia, aby zacząć Next.js 15 Fullstack (App Router + Server Actions)?

Nie wymagamy żadnego doświadczenia. Next.js 15 Fullstack (App Router + Server Actions) w CoddyKit jest strukturyzowany dla początkujących i zaawansowanych użytkowników, więc możesz zacząć tutaj lub od początku i uczyć się w swoim tempie. To lekcja 4 z 4.

Ile czasu zajmuje lekcja „Przechwytywanie błędów Server Actions i telemetrii”?

Większość lekcji CoddyKit trwa około 5–10 minut. Każda lekcja to mały, interaktywny krok, dzięki czemu robisz systematyczne postępy i zawsze wracasz dokładnie do tego samego miejsca — na webie i w aplikacji.

Czy mogę pisać i uruchamiać kod w tej lekcji Next.js 15 Fullstack (App Router + Server Actions)?

Tak. Każda lekcja Next.js 15 Fullstack (App Router + Server Actions) zawiera wbudowany edytor kodu, więc piszesz i uruchamiasz prawdziwy kod bezpośrednio w przeglądarce i od razu otrzymujesz sprzężenie zwrotne od AI — bez konfiguracji na komputerze.

Wszystkie lekcje w tym kursie

  1. Śledzenie OpenTelemetry z instrumentation.ts
  2. Szczegółowe granice error.tsx i global-error
  3. Ustrukturyzowane logowanie na serwerze i Edge
  4. Przechwytywanie błędów Server Actions i telemetrii
← Powrót do Next.js 15 Fullstack (App Router + Server Actions)