Async Queue & Durable Workflow Expert (2026 Unified Edition)

English | Bahasa Indonesia

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English

Purpose & Overview

Unified production-grade guide for background execution pipelines, async job queues, and distributed state machines. Covers the full spectrum from simple Redis-backed task queues to complex multi-service sagas with compensating rollbacks.

3-Tier Execution Model

Tier	Engine	Best For
Tier 1: Redis Task Queues	BullMQ v5	High-throughput worker jobs, priority queues, rate limiting, DLQ
Tier 2: Serverless Durable Tasks	Trigger.dev v3 / Inngest	Step-checkpointed tasks, automatic resume across crashes, zero infra
Tier 3: Distributed Sagas	Temporal.io	Multi-service orchestration, compensating rollbacks, long-running workflows

Core Capabilities

1. Idempotency & Deduplication: Deterministic jobId keys prevent double billing or duplicate emails.
2. Dead Letter Queues (DLQ): Auto-relocate permanently failing jobs for audit and alerting.
3. Exponential Backoff with Jitter: Prevents thundering herds on upstream services.
4. Tenant Priority Queues: VIP/enterprise tiers get lower BullMQ priority numbers (higher throughput).
5. Durable State Machines: Workflows survive restarts, deployments, and network partitions.
6. Saga Compensations: Multi-step transactions with automated reverse-order rollbacks.

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Tier 1: BullMQ v5 — Redis Task Queues (TypeScript)

import { Queue, Worker, Job } from 'bullmq';
import Redis from 'ioredis';

const redisConnection = new Redis(process.env.REDIS_URL!, {
  maxRetriesPerRequest: null, // Required by BullMQ
});

export interface NotificationPayload {
  tenantId: string;
  userId: string;
  type: 'email' | 'webhook';
  payload: Record<string, unknown>;
  idempotencyKey: string;
}

// Main Queue
export const notificationQueue = new Queue<NotificationPayload>('notifications', {
  connection: redisConnection,
  defaultJobOptions: {
    attempts: 5,
    backoff: { type: 'exponential', delay: 1500 },
    removeOnComplete: { age: 86400, count: 5000 },
    removeOnFail: false, // Preserved for DLQ audit
  },
});

// Dead Letter Queue
export const notificationDLQ = new Queue('notifications-dlq', {
  connection: redisConnection,
});

// Enqueue with deduplication & priority
export async function enqueueNotification(data: NotificationPayload, isVip = false) {
  return await notificationQueue.add('send_notification', data, {
    jobId: `notif_${data.idempotencyKey}`, // Deterministic dedup key
    priority: isVip ? 1 : 10,
  });
}

// Worker with concurrency & rate limiting
export const notificationWorker = new Worker<NotificationPayload>(
  'notifications',
  async (job: Job<NotificationPayload>) => {
    if (job.data.type === 'email') await deliverEmail(job.data);
  },
  {
    connection: redisConnection,
    concurrency: 20,
    limiter: { max: 100, duration: 1000 },
  }
);

// DLQ forwarding on retry exhaustion
notificationWorker.on('failed', async (job, error) => {
  if (job && job.attemptsMade >= (job.opts.attempts || 5)) {
    await notificationDLQ.add('failed_notification', {
      originalJobId: job.id, failedReason: error.message,
      data: job.data, exhaustedAt: new Date().toISOString(),
    });
  }
});

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Tier 2: Trigger.dev v3 — Serverless Durable Tasks

import { task } from '@trigger.dev/sdk/v3';

export const generateReport = task({
  id: 'generate-enterprise-report',
  retry: { maxAttempts: 4, minTimeoutInMs: 2000, factor: 2, randomize: true },
  run: async (payload: { tenantId: string; month: string }, { ctx }) => {
    // Each step is a durable checkpoint — survives crashes
    const data = await ctx.run('fetch-telemetry', async () => {
      return await fetchTelemetryFromWarehouse(payload.tenantId, payload.month);
    });
    const pdfUrl = await ctx.run('render-pdf', async () => {
      return await generateReportPdf(data);
    });
    await ctx.run('dispatch-webhook', async () => {
      return await sendWebhookNotification(payload.tenantId, pdfUrl);
    });
    return { success: true, pdfUrl };
  },
});

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Tier 3: Temporal.io — Distributed Saga with Compensations

import { proxyActivities, ApplicationFailure } from '@temporalio/workflow';
import type * as activities from './activities';

const { chargeCustomer, provisionLicense, sendWelcomeEmail, refundCustomer, revokeLicense } =
  proxyActivities<typeof activities>({
    startToCloseTimeout: '1 minute',
    retry: {
      initialInterval: '1s', backoffCoefficient: 2, maximumAttempts: 5,
      nonRetryableErrorTypes: ['InvalidCardError', 'AccountSuspendedError'],
    },
  });

export async function subscriptionSagaWorkflow(input: {
  customerId: string; planId: string; amountCents: number;
}) {
  const compensations: Array<() => Promise<void>> = [];
  try {
    const charge = await chargeCustomer(input.customerId, input.amountCents);
    compensations.unshift(() => refundCustomer(charge.chargeId));

    const license = await provisionLicense(input.customerId, input.planId);
    compensations.unshift(() => revokeLicense(license.licenseId));

    await sendWelcomeEmail(input.customerId, license.licenseKey);
    return { status: 'COMPLETED' };
  } catch (error) {
    for (const compensate of compensations) {
      try { await compensate(); } catch (e) { console.error('Compensation failed:', e); }
    }
    throw ApplicationFailure.create({
      message: `Saga rolled back: ${(error as Error).message}`, nonRetryable: true,
    });
  }
}

Temporal Determinism Rule: Never use Math.random(), Date.now(), or direct DB calls inside workflow files. Run them inside activities.

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Implementation Checklist

• Configure maxRetriesPerRequest: null on ioredis for BullMQ v5.
• Use deterministic jobId from business logic (order_${orderId}) for deduplication.
• Forward permanently dead jobs to DLQ via worker.on('failed') listener.
• Implement rate limiting via worker limiter to protect third-party APIs.
• Enforce deterministic code inside Temporal workflows (activities for side-effects).
• Store large payloads in S3/R2; pass only IDs through queues.
• Implement Saga rollback handlers for multi-step distributed payments.

Orchestration & Integration

• Integrates with: js-backend-expert, cron-scheduler-expert, error-resilience-expert, saas-billing, doku-payment-gateway, data-telemetry-expert.

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Bahasa Indonesia

Tujuan & Gambaran Umum

Panduan terpadu tingkat produksi untuk pipeline eksekusi latar belakang, antrean job asinkron, dan state machine terdistribusi. Mencakup spektrum penuh dari antrean Redis sederhana hingga saga multi-layanan dengan rollback kompensasi.

Model Eksekusi 3-Tier

Tier	Engine	Cocok Untuk
Tier 1: Antrean Redis	BullMQ v5	Job worker throughput tinggi, prioritas, rate limiting, DLQ
Tier 2: Task Serverless	Trigger.dev v3 / Inngest	Task dengan checkpoint, resume otomatis, tanpa infra
Tier 3: Saga Terdistribusi	Temporal.io	Orkestrasi multi-layanan, rollback kompensasi, workflow jangka panjang

Kemampuan Utama

1. Idempotensi & Deduplikasi: Kunci jobId deterministik mencegah duplikasi penagihan atau email.
2. Dead Letter Queue (DLQ): Pemindahan otomatis job gagal total untuk audit.
3. Backoff Eksponensial + Jitter: Mencegah thundering herd pada server hilir.
4. Prioritas Tenant: Tier VIP/enterprise mendapat prioritas lebih tinggi (angka lebih kecil di BullMQ).
5. State Machine Tahan-Gagal: Workflow bertahan saat restart, deployment, dan partisi jaringan.
6. Kompensasi Saga: Transaksi multi-langkah dengan rollback otomatis urutan mundur.

Checklist Implementasi

• Atur maxRetriesPerRequest: null pada ioredis untuk BullMQ v5.
• Gunakan jobId deterministik dari ID bisnis (invoice_${invoiceId}) untuk deduplikasi.
• Pasang listener worker.on('failed') untuk forward job gagal ke DLQ.
• Terapkan rate limiter pada worker untuk stabilitas API eksternal.
• Pastikan kode Temporal selalu deterministik (side-effect hanya di activities).
• Simpan file besar di S3/R2; kirim hanya referensi ID melalui queue.

Integrasi Orkestrasi

• Terintegrasi dengan: js-backend-expert, cron-scheduler-expert, error-resilience-expert, saas-billing, doku-payment-gateway, data-telemetry-expert.