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Sreekar Reddy
Sreekar Reddy

Posted on • Originally published at sreekarreddy.com

๐Ÿ“จ Message Queues Explained Like You're 5

A post office sorting room

Day 49 of 149

๐Ÿ‘‰ Full deep-dive with code examples


The Post Office

You drop off 100 letters.

Post office doesn't deliver all 100 instantly!

  • Letters go into a sorting room
  • Workers pick up and deliver one by one
  • Even if you send 1000, they handle the pace

Message queues work the same way!


The Problem

Your app gets 10,000 orders in 1 second.

Processing each can take a while.

Without queue: Server overloads and crashes! ๐Ÿ’ฅ


The Solution

Orders go into a queue:

[Order 1] โ†’ [Order 2] โ†’ [Order 3] โ†’ ...
      โ†“
   Worker picks up, processes at its own pace
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  • Orders are stored durably (less likely to be lost)
  • Orders are buffered (and are less likely to be lost, depending on how the queue is configured)
  • System processes at sustainable speed
  • Senders don't have to wait

Famous Message Queues

  • RabbitMQ
  • Apache Kafka
  • Amazon SQS
  • Redis (can work as queue)

When to Use

  • Handling traffic spikes
  • Long-running tasks
  • Communication between services
  • Anything that shouldn't block

In One Sentence

Message queues hold tasks in line and let workers process them at a sustainable pace, preventing overload.


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