CloudAcademy

Manage message queues using Amazon SQS

The hands-on lab is part of these learning paths

Solutions Architect – Associate Certification Preparation for AWS - Feb 2018

course-steps 28 certification 6 lab-steps 23

Certified Developer—Associate Certification for AWS

course-steps 14 lab-steps 15 quiz-steps 18

Developer – Associate Certification Preparation for AWS

course-steps 7 certification 1 lab-steps 14 quiz-steps 2

SysOps Administrator – Associate Certification Preparation for AWS

course-steps 6 certification 1 lab-steps 18 quiz-steps 7

Lab Steps

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Logging in to the Amazon Web Services Console
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Create a SQS Queue
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Send messages to a SQS queue
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Poll for SQS messages
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Delete a queue message
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Delete a SQS queue

Ready for the real environment experience?

DifficultyBeginner
Duration45m
Students4827

Description

Manage message queues using Amazon Simple Queue Service (SQS)

Amazon Simple Queue Service (Amazon SQS) offers a fast, reliable and scalable queues for storing messages. By using Amazon SQS, you can move data between distributed components of your applications that perform different tasks without losing messages or requiring each component to be always available. A queue is a temporary repository for messages that are awaiting processing.

During this introductory lab you will learn how to create and delete a SQS queue, send queue messages, and retrieve and delete them.

About the Author

Students44205
Labs13
Courses4

Antonio is an IT Manager and a software and infrastructure Engineer with 15 years of experience in designing, implementing and deploying complex webapps.

He has a deep knowledge of the IEEE Software and Systems Engineering Standards and of several programming languages (Python, PHP, Java, Scala, JS).

Antonio has also been using and designing cloud infrastructures for five years, using both public and private cloud services (Amazon Web Services, Google Cloud Platform, Azure, Openstack and Vmware vSphere).

During his past working experiences, he designed and managed large web clusters, also developing a service orchestrator for providing automatic scaling, self-healing and a Disaster Recovery Strategy.

Antonio is currently the Labs Product Manager and a Senior DevOps Engineer at Cloud Academy; his main goal is providing the best learn-by-doing experience possible taking care of the Cloud Academy Labs platform.