Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Google Cloud Platform icon
Labs

Working with AWS SQS FIFO Queues

In this hands-on lab, you will learn how to create and interact with first-in-first-out (FIFO) SQS queues. This lab will provide an important distinction from SQS standard queues, noting the key characteristics and functionality differences between the two. By the end of the lab, you should feel comfortable creating and interacting with SQS FIFO queues. You will also learn and become familiar with various API actions used to interact with the SQS service via the AWS CLI and AWS SDKs.

Try for free Contact sales
Google Cloud Platform icon
Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Published
Clock icon Mar 09, 2018

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Create a FIFO SQS Queue

    You'll need to create an AWS SQS Queue using the AWS CLI on the EC2 instance provided.

    • Sign in to the EC2 instance provided using the credentials in Cloud Assessments
    • Run the Python script to create the SQS queue create_queue.py
    • Remember to copy the URL that is printed to the screen and paste it into to the sqs_url.py file for later

  2. Challenge

    Send and Process Messages to Your SQS FIFO Queue

    Use the EC2 instance provided to send messages to your SQS queue and process them.

    • Make sure you've updated the sqs_url.py file with the SQS queue URL
    • Review the data.json file
    • Remember to start up the queue_status.py script
    • Run the Python3 fifo_producer.py script to send messages to the SQS queue
    • Run the Python3 fifo_consumer.py script to consume the messages in the queue
    • If you need to start over at any point you can start over with the purge_queue.py script
A Cloud Guru - Labs - Working with AWS SQS FIFO Queues
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Start learning by doing today

View Plans