Cloudflare Queues

Complete knowledge domain for Cloudflare Queues - flexible message queue for asynchronous processing and background tasks on Workers.

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Auto-Trigger Keywords

Primary Keywords

• cloudflare queues
• queues workers
• message queue
• queue bindings
• async processing
• background jobs
• queue consumer
• queue producer
• workers queue
• message broker

Secondary Keywords

• batch processing
• send queue
• sendBatch
• queue handler
• message retry
• queue ack
• acknowledge message
• dead letter queue
• dlq
• queue delay
• delay message
• consumer concurrency
• queue backlog
• wrangler queues

Error-Based Keywords

• queue timeout
• batch retry
• message lost
• queue throughput exceeded
• consumer not scaling
• queue storage limit
• Too Many Requests queue
• message retention exceeded
• visibility timeout
• max retries reached
• queue delivery failed
• consumer error

Framework Integration Keywords

• hono queues
• queues hono
• cloudflare workers queues
• wrangler queue
• queue api workers

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What This Skill Does

This skill provides complete Cloudflare Queues knowledge including:

• ✅ Queue Creation - Create, configure, and manage queues with wrangler
• ✅ Producer Patterns - send(), sendBatch() with delays
• ✅ Consumer Patterns - Basic, explicit ack, DLQ, retry strategies
• ✅ Batching Configuration - max_batch_size, max_batch_timeout
• ✅ Retry Strategies - Implicit, explicit, with exponential backoff
• ✅ Dead Letter Queues - Handle permanently failed messages
• ✅ Explicit Acknowledgement - ack(), retry(), ackAll(), retryAll()
• ✅ Message Delays - Delay delivery up to 12 hours
• ✅ Consumer Concurrency - Auto-scaling up to 250 concurrent invocations
• ✅ Error Handling - Timeouts, retries, rate limits
• ✅ Pull Consumers - HTTP-based consumers (not just Workers)
• ✅ Performance Optimization - Batching, concurrency, cost reduction

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Known Issues Prevented

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When to Use This Skill

✅ Use this skill when:

• Decoupling application components
• Processing tasks asynchronously
• Handling background jobs (emails, notifications, data processing)
• Buffering calls to external APIs
• Implementing task queues
• Managing workload spikes
• Rate limiting upstream services
• Building event-driven architectures
• Processing webhooks asynchronously
• Scheduling delayed tasks

❌ When NOT to use:

• You need real-time processing (<1 second latency)
• You need guaranteed FIFO ordering (use Durable Objects)
• You need strict message ordering
• Messages >128 KB (split them or use R2 references)
• You need synchronous responses
• You need transactional guarantees across operations

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Quick Example

import { Hono } from 'hono';

type Bindings = {
  MY_QUEUE: Queue;
};

const app = new Hono<{ Bindings: Bindings }>();

// Producer: Send message to queue
app.post('/tasks', async (c) => {
  const task = await c.req.json();

  // Send single message
  await c.env.MY_QUEUE.send({
    type: 'process-order',
    orderId: task.orderId,
    userId: task.userId,
  });

  return c.json({ status: 'queued' });
});

// Producer: Send batch of messages
app.post('/tasks/batch', async (c) => {
  const tasks = await c.req.json();

  // Send up to 100 messages at once
  await c.env.MY_QUEUE.sendBatch(
    tasks.map((task) => ({
      body: {
        type: 'process-order',
        orderId: task.orderId,
      },
    }))
  );

  return c.json({ status: 'queued', count: tasks.length });
});

export default app;

// Consumer: Process messages from queue
export default {
  async queue(
    batch: MessageBatch,
    env: Env,
    ctx: ExecutionContext
  ): Promise<void> {
    // Process each message
    for (const message of batch.messages) {
      try {
        // Your processing logic
        await processOrder(message.body);

        // Explicitly acknowledge success
        message.ack();
      } catch (error) {
        console.error(`Failed to process message ${message.id}:`, error);

        // Retry with exponential backoff
        message.retry({
          delaySeconds: Math.min(60 * message.attempts, 3600),
        });
      }
    }
  },
};

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Token Efficiency

• Manual Setup: 8,000-12,000 tokens
• With This Skill: 3,500-5,500 tokens
• Savings: ~50-55%

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Files Included

• SKILL.md - Complete Queues knowledge domain
• templates/wrangler-queues-config.jsonc - Producer + Consumer bindings
• templates/queues-producer.ts - Send messages (single + batch)
• templates/queues-consumer-basic.ts - Basic consumer (implicit ack)
• templates/queues-consumer-explicit-ack.ts - Explicit ack pattern
• templates/queues-dlq-pattern.ts - Dead letter queue setup
• templates/queues-retry-with-delay.ts - Retry with exponential backoff
• reference/wrangler-commands.md - Complete CLI reference
• reference/producer-api.md - send/sendBatch API details
• reference/consumer-api.md - queue handler + batch operations
• reference/best-practices.md - Patterns, concurrency, optimization

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Dependencies

• cloudflare-worker-base - For Hono + Vite + Worker setup
• wrangler - For queue management CLI

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Production Status

✅ Production Ready

This skill is based on:

• Official Cloudflare Queues documentation
• Cloudflare Workers SDK examples
• Production-tested patterns
• Latest package versions (verified 2025-10-21)

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Related Skills

• cloudflare-worker-base - Base Worker setup with Hono
• cloudflare-d1 - Serverless SQLite database
• cloudflare-r2 - Object storage
• cloudflare-kv - Key-value storage
• cloudflare-workers-ai - AI inference on Workers

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Last Updated: 2025-10-21 Status: Production Ready ✅ Maintainer: Jeremy Dawes | jeremy@jezweb.net