gh-jezweb-claude-skills-skills-cloudflare-queues/SKILL.md

name, description, license

name	description	license
cloudflare-queues	Build async message queues with Cloudflare Queues for background processing. Use when: handling async tasks, batch processing, implementing retries, configuring dead letter queues, managing consumer concurrency, or troubleshooting queue timeout, batch retry, message loss, or throughput exceeded.	MIT

Cloudflare Queues

Status: Production Ready ✅ Last Updated: 2025-11-24 Dependencies: cloudflare-worker-base (for Worker setup) Latest Versions: wrangler@4.50.0, @cloudflare/workers-types@4.20251121.0

Recent Updates (2025):

• April 2025: Pull consumers increased limits (5,000 msg/s per queue, up from 1,200 requests/5min)
• March 2025: Pause & Purge APIs (wrangler queues pause-delivery, queues purge)
• 2025: Customizable retention (60s to 14 days, previously fixed at 4 days)
• 2025: Increased queue limits (10,000 queues per account, up from 10)

---

Quick Start (5 Minutes)

# 1. Create queue
npx wrangler queues create my-queue

# 2. Add producer binding to wrangler.jsonc
# { "queues": { "producers": [{ "binding": "MY_QUEUE", "queue": "my-queue" }] } }

# 3. Send message from Worker
await env.MY_QUEUE.send({ userId: '123', action: 'process-order' });

# 4. Add consumer binding to wrangler.jsonc
# { "queues": { "consumers": [{ "queue": "my-queue", "max_batch_size": 10 }] } }

# 5. Process messages
export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const message of batch.messages) {
      await processMessage(message.body);
      message.ack(); // Explicit acknowledgement
    }
  }
};

# 6. Deploy and test
npx wrangler deploy
npx wrangler tail my-consumer

---

Producer API

// Send single message
await env.MY_QUEUE.send({ userId: '123', action: 'send-email' });

// Send with delay (max 12 hours)
await env.MY_QUEUE.send({ action: 'reminder' }, { delaySeconds: 600 });

// Send batch (max 100 messages or 256 KB)
await env.MY_QUEUE.sendBatch([
  { body: { userId: '1' } },
  { body: { userId: '2' } },
]);

Critical Limits:

• Message size: 128 KB max (including ~100 bytes metadata)
• Messages >128 KB will fail - store in R2 and send reference instead
• Batch size: 100 messages or 256 KB total
• Delay: 0-43200 seconds (12 hours max)

---

Consumer API

export default {
  async queue(batch: MessageBatch, env: Env, ctx: ExecutionContext): Promise<void> {
    for (const message of batch.messages) {
      // message.id - unique UUID
      // message.timestamp - Date when sent
      // message.body - your content
      // message.attempts - retry count (starts at 1)

      await processMessage(message.body);
      message.ack(); // Explicit ack (critical for non-idempotent ops)
    }
  }
};

// Retry with exponential backoff
message.retry({ delaySeconds: Math.min(60 * Math.pow(2, message.attempts - 1), 3600) });

// Batch methods
batch.ackAll();   // Ack all messages
batch.retryAll(); // Retry all messages

Critical:

• message.ack() - Mark success, prevents retry even if handler fails later
• Use explicit ack for non-idempotent operations (DB writes, API calls, payments)
• Implicit ack - If handler returns successfully without calling ack(), all messages auto-acknowledged
• Ordering not guaranteed - Don't assume FIFO message order

---

Critical Consumer Patterns

Explicit Acknowledgement (Non-Idempotent Operations)

ALWAYS use explicit ack() for: Database writes, API calls, financial transactions

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const message of batch.messages) {
      try {
        await env.DB.prepare('INSERT INTO orders (id, amount) VALUES (?, ?)')
          .bind(message.body.orderId, message.body.amount).run();
        message.ack(); // Only ack on success
      } catch (error) {
        console.error(`Failed ${message.id}:`, error);
        // Don't ack - will retry
      }
    }
  }
};

Why? Prevents duplicate writes if one message in batch fails. Failed messages retry independently.

---

Exponential Backoff for Rate-Limited APIs

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const message of batch.messages) {
      try {
        await fetch('https://api.example.com/process', {
          method: 'POST',
          body: JSON.stringify(message.body),
        });
        message.ack();
      } catch (error) {
        if (error.status === 429) {
          const delaySeconds = Math.min(60 * Math.pow(2, message.attempts - 1), 3600);
          message.retry({ delaySeconds });
        } else {
          message.retry();
        }
      }
    }
  }
};

---

Dead Letter Queue (DLQ) - CRITICAL for Production

⚠️ Without DLQ, failed messages are DELETED PERMANENTLY after max_retries

npx wrangler queues create my-dlq

wrangler.jsonc:

{
  "queues": {
    "consumers": [{
      "queue": "my-queue",
      "max_retries": 3,
      "dead_letter_queue": "my-dlq"  // Messages go here after 3 failed retries
    }]
  }
}

DLQ Consumer:

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const message of batch.messages) {
      console.error('PERMANENTLY FAILED:', message.id, message.body);
      await env.DB.prepare('INSERT INTO failed_messages (id, body) VALUES (?, ?)')
        .bind(message.id, JSON.stringify(message.body)).run();
      message.ack(); // Remove from DLQ
    }
  }
};

---

Consumer Configuration

{
  "queues": {
    "consumers": [{
      "queue": "my-queue",
      "max_batch_size": 100,           // 1-100 (default: 10)
      "max_batch_timeout": 30,         // 0-60s (default: 5s)
      "max_retries": 5,                // 0-100 (default: 3)
      "retry_delay": 300,              // Seconds (default: 0)
      "max_concurrency": 10,           // 1-250 (default: auto-scale)
      "dead_letter_queue": "my-dlq"    // REQUIRED for production
    }]
  }
}

Critical Settings:

• Batching - Consumer called when EITHER condition met (max_batch_size OR max_batch_timeout)
• max_retries - After exhausted: with DLQ → sent to DLQ, without DLQ → DELETED PERMANENTLY
• max_concurrency - Only set if upstream has rate limits or connection limits. Otherwise leave unset for auto-scaling (up to 250 concurrent invocations)
• DLQ - Create separately: npx wrangler queues create my-dlq

---

Wrangler Commands

# Create queue
npx wrangler queues create my-queue
npx wrangler queues create my-queue --message-retention-period-secs 1209600  # 14 days

# Manage queues
npx wrangler queues list
npx wrangler queues info my-queue
npx wrangler queues delete my-queue  # ⚠️ Deletes ALL messages!

# Pause/Purge (March 2025 - NEW)
npx wrangler queues pause-delivery my-queue   # Pause processing, keep receiving
npx wrangler queues resume-delivery my-queue
npx wrangler queues purge my-queue            # ⚠️ Permanently deletes all messages!

# Consumer management
npx wrangler queues consumer add my-queue my-consumer-worker \
  --batch-size 50 --batch-timeout 10 --message-retries 5
npx wrangler queues consumer remove my-queue my-consumer-worker

---

Limits & Quotas

Feature	Limit
Queues per account	10,000
Message size	128 KB (includes ~100 bytes metadata)
Message retries	100 max
Batch size	1-100 messages
Batch timeout	0-60 seconds
Messages per sendBatch	100 (or 256 KB total)
Queue throughput	5,000 messages/second per queue
Message retention	4 days (default), 14 days (max)
Queue backlog size	25 GB per queue
Concurrent consumers	250 (push-based, auto-scale)
Consumer duration	15 minutes (wall clock)
Consumer CPU time	30 seconds (default), 5 minutes (max)
Visibility timeout	12 hours (pull consumers)
Message delay	12 hours (max)
API rate limit	1200 requests / 5 minutes

---

Pricing

Requires Workers Paid plan ($5/month)

Operations Pricing:

• First 1,000,000 operations/month: FREE
• After that: $0.40 per million operations

What counts as an operation:

• Each 64 KB chunk written, read, or deleted
• Messages >64 KB count as multiple operations:
  • 65 KB message = 2 operations
  • 127 KB message = 2 operations
  • 128 KB message = 2 operations

Typical message lifecycle:

• 1 write + 1 read + 1 delete = 3 operations

Retries:

• Each retry = additional read operation
• Message retried 3 times = 1 write + 4 reads + 1 delete = 6 operations

Dead Letter Queue:

• Writing to DLQ = additional write operation

Cost examples:

• 1M messages/month (no retries): ((1M × 3) - 1M) / 1M × $0.40 = $0.80
• 10M messages/month: ((10M × 3) - 1M) / 1M × $0.40 = $11.60
• 100M messages/month: ((100M × 3) - 1M) / 1M × $0.40 = $119.60

---

Error Handling

Common Errors

1. Message Too Large

// ❌ Bad: Message >128 KB
await env.MY_QUEUE.send({
  data: largeArray, // >128 KB
});

// ✅ Good: Check size before sending
const message = { data: largeArray };
const size = new TextEncoder().encode(JSON.stringify(message)).length;

if (size > 128000) {
  // Store in R2, send reference
  const key = `messages/${crypto.randomUUID()}.json`;
  await env.MY_BUCKET.put(key, JSON.stringify(message));
  await env.MY_QUEUE.send({ type: 'large-message', r2Key: key });
} else {
  await env.MY_QUEUE.send(message);
}

---

2. Throughput Exceeded

// ❌ Bad: Exceeding 5000 msg/s per queue
for (let i = 0; i < 10000; i++) {
  await env.MY_QUEUE.send({ id: i }); // Too fast!
}

// ✅ Good: Use sendBatch
const messages = Array.from({ length: 10000 }, (_, i) => ({
  body: { id: i },
}));

// Send in batches of 100
for (let i = 0; i < messages.length; i += 100) {
  await env.MY_QUEUE.sendBatch(messages.slice(i, i + 100));
}

// ✅ Even better: Rate limit with delay
for (let i = 0; i < messages.length; i += 100) {
  await env.MY_QUEUE.sendBatch(messages.slice(i, i + 100));
  if (i + 100 < messages.length) {
    await new Promise(resolve => setTimeout(resolve, 100)); // 100ms delay
  }
}

---

3. Consumer Timeout

// ❌ Bad: Long processing without CPU limit increase
export default {
  async queue(batch: MessageBatch): Promise<void> {
    for (const message of batch.messages) {
      await processForMinutes(message.body); // CPU timeout!
    }
  },
};

// ✅ Good: Increase CPU limit in wrangler.jsonc

wrangler.jsonc:

{
  "limits": {
    "cpu_ms": 300000  // 5 minutes (max allowed)
  }
}

---

4. Backlog Growing

// Issue: Consumer too slow, backlog growing

// ✅ Solution 1: Increase batch size
{
  "queues": {
    "consumers": [{
      "queue": "my-queue",
      "max_batch_size": 100  // Process more per invocation
    }]
  }
}

// ✅ Solution 2: Let concurrency auto-scale (don't set max_concurrency)

// ✅ Solution 3: Optimize consumer code
export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    // Process in parallel
    await Promise.all(
      batch.messages.map(async (message) => {
        await process(message.body);
        message.ack();
      })
    );
  },
};

---

Critical Rules

Always:

• ✅ Configure DLQ for production (dead_letter_queue in consumer config)
• ✅ Use explicit message.ack() for non-idempotent ops (DB writes, API calls)
• ✅ Validate message size <128 KB before sending
• ✅ Use sendBatch() for multiple messages (more efficient)
• ✅ Implement exponential backoff: 60 * Math.pow(2, message.attempts - 1)
• ✅ Let concurrency auto-scale (don't set max_concurrency unless upstream has rate limits)

Never:

• ❌ Never assume FIFO ordering - not guaranteed
• ❌ Never rely on implicit ack for non-idempotent ops - use explicit ack()
• ❌ Never send messages >128 KB - will fail (store in R2 instead)
• ❌ Never skip DLQ in production - failed messages DELETED PERMANENTLY without DLQ
• ❌ Never exceed 5,000 msg/s per queue (push consumers) or rate limits apply
• ❌ Never process messages synchronously - use Promise.all() for parallelism

---

Troubleshooting

Issue: Messages not being delivered to consumer

Possible causes:

1. Consumer not deployed
2. Wrong queue name in wrangler.jsonc
3. Delivery paused
4. Consumer throwing errors

Solution:

# Check queue info
npx wrangler queues info my-queue

# Check if delivery paused
npx wrangler queues resume-delivery my-queue

# Check consumer logs
npx wrangler tail my-consumer

---

Issue: Entire batch retried when one message fails

Cause: Using implicit acknowledgement with non-idempotent operations

Solution: Use explicit ack()

// ✅ Explicit ack
for (const message of batch.messages) {
  try {
    await dbWrite(message.body);
    message.ack(); // Only ack on success
  } catch (error) {
    console.error(`Failed: ${message.id}`);
    // Don't ack - will retry
  }
}

---

Issue: Messages deleted without processing

Cause: No Dead Letter Queue configured

Solution:

# Create DLQ
npx wrangler queues create my-dlq

# Add to consumer config

{
  "queues": {
    "consumers": [{
      "queue": "my-queue",
      "dead_letter_queue": "my-dlq"
    }]
  }
}

---

Issue: Consumer not auto-scaling

Possible causes:

1. max_concurrency set to 1
2. Consumer returning errors (not processing)
3. Batch processing too fast (no backlog)

Solution:

{
  "queues": {
    "consumers": [{
      "queue": "my-queue",
      // Don't set max_concurrency - let it auto-scale
      "max_batch_size": 50  // Increase batch size instead
    }]
  }
}

---

Related Documentation

• Cloudflare Queues Docs
• How Queues Works
• JavaScript APIs
• Batching & Retries
• Consumer Concurrency
• Dead Letter Queues
• Wrangler Commands
• Limits
• Pricing

---

Last Updated: 2025-10-21 Version: 1.0.0 Maintainer: Jeremy Dawes | jeremy@jezweb.net