July 13, 2024
AWS SQS in a Giant Scale Software

In right this moment’s article, I’m going to indicate you ways we use AWS SQS in our Laravel utility and the way it helps us handle 1.6 billion operations every month.

Within the picture beneath, you’ll be able to see our typical invoice for a month of AWS SQS utilization:AWS SQS

Earlier than coming into into the small print of our system design, I’d introduce the SQS know-how, why it’s best to take into account a messaging system, and easy methods to examine it with comparable providers.

What Is AWS SQS?

Amazon Easy Queue Service is a totally managed messages queueing system to allow communication between distributed software program elements or microservices.

Decoupling some components of your system means that you can run and fail your software program elements independently. It additionally means that you can construct simply scalable functions.

Message queues act as intermediaries:


What Is a Message?

This is a crucial query I wish to reply to assist builders who’re approaching this know-how for the primary time.

Each message queuing system accepts a textual content because the content material of a message. The commonest strategy to make completely different programs trade structured knowledge is to make use of JSON objects.

JSON will be simply serialized as textual content when pushing a brand new message onto the queue and deserialized when it’s consumed on the opposite aspect of the system.

The Laravel Manner

Laravel implements its personal format when exchanging messages with queue programs. Right here is an instance:

The Laravel Way

The JSON is routinely created by the inner queue system of the framework if you dispatch a job. It’s considerably hidden from the eyes of the developer.

The JSON message comprises all knowledge wanted by Laravel to know what job class ought to be executed and below what situations (makes an attempt, maxTries, and so forth.).

In case your utility doesn’t have a prepackaged answer just like the one offered by Laravel, you’ll be able to outline your individual format. The purpose is to offer the patron of the queue with all data to course of the specified job.

How To Eat Messages from the Queue

You must implement a system that constantly polls the queue ready for a message to reach.

Laravel gives a built-in “employee” that you may run with a easy command:

This command runs a background course of that asks for brand spanking new messages. When a message is retrieved, the employee can run the job class included within the message.

You’ll be able to see this course of within the IlluminateQueueWorker.php class:

whereas (true) 
	// Earlier than reserving any jobs, we'll ensure that this queue will not be paused and
	// whether it is we'll simply pause this employee for a given period of time and
	// ensure that we don't must kill this employee course of off utterly.
	if (! $this->daemonShouldRun($choices, $connectionName, $queue)) 
		$standing = $this->pauseWorker($choices, $lastRestart);

		if (! is_null($standing)) 
			return $this->cease($standing, $choices);


	// If the daemon ought to run (not in upkeep mode, and so forth.), then we are able to run
	// hearth off this job for processing. In any other case, we might want to sleep the
	// employee so no extra jobs are processed till they need to be processed.
	if ($job) 

		$this->runJob($job, $connectionName, $choices);

		if ($options->relaxation > 0) 

Why Ought to You Use AWS SQS?

Since my product is a developer software, I focus on with different fellow builders virtually each week in regards to the inner design of their software program. 

In many of the functions I’ve had the chance to research, a messaging system was launched to allow asynchronous job execution. 

The identical is for Inspector.

I believe that is the most typical use case for messaging programs right this moment. Microservices or massive distributed software program, typically, are very area of interest use instances. Most likely belonging extra to enterprise environments.

What Is an Asynchronous Job?

Think about your product affords the flexibility to import account data by importing massive recordsdata. The consumer picks the file from the native PC and clicks “Import.”

This operation can take some time to be accomplished. You must open the file, learn every line, convert it into the suitable format, and retailer this data in your system.

It could possibly be not possible to deal with this course of on the time of an HTTP request.

Due to a message queueing system, we are able to retailer the file on our servers and push a message to the “import” queue with the trail the place the file is. 

The subsequent step is to make a background system that waits for these messages to deal with the import course of. Customers don’t want to attend till the import is completed. Within the meantime, they will proceed to make use of the product or depart it ready to be notified when the import is accomplished:


How Inspector Makes use of AWS SQS

A very powerful problem of Inspector is to have the ability to course of massive quantities of site visitors, additionally guaranteeing good efficiency.

The endpoint the place Inspector receives knowledge from the monitored functions handles about 10 million HTTP requests per day. With this quantity, the issue is that these knowledge packets can’t be processed on the fly. 

Firstly of our journey, we used a self-managed Redis as a message queueing system. However, with rising volumes, we’ve got most well-liked to depend on a managed service.

The technique is to make use of AWS SQS to have the ability to push these duties to a queue, which shall be consumed by one other separate system within the background (the processing pipeline):

Processing Pipeline

Ingestion nodes are carried out in Node.js. They’re constructed as a quite simple and very scalable script. The employee servers that eat the queue are, as a substitute, a system element constructed on prime of the Laravel framework.

We might have chosen some other know-how to handle the message queue. At this stage of the corporate, SQS ensures scalability with none complexity for us since it’s a totally managed service.

Different options might additionally save us prices. We desire to ensure our prospects that the platform works completely and keep away from the danger of introducing weaknesses that would trigger sudden downtimes.


At this level, it’s best to have a greater thought of what AWS SQS is, easy methods to use AWS SQS to scale your utility, why it’s best to use AWS SQS, and extra. I hope you have got taken away some worthwhile data from this text. If that’s the case, be at liberty to love and share.