New Training: Managing Amazon Simple Queueing Service (SQS) with Python and Boto3
In this 6-video skill, CBT Nuggets trainer Trevor Sullivan explores how to create and manage SQS queues with Python and the Boto3 module. Watch this new DevOps training.
Learn DevOps,AWS with one of these courses:
AWS Cloud Automation
This training includes:
1.2 hours of training
You’ll learn these topics in this skill:
Introduction to Amazon SQS and Python Boto3
Configure Amazon EC2 Development Environment for Python Boto3
Create Amazon SQS Queues with Python Boto3
Configure Amazon SQS Queue Attributes with Python Boto3
Send Messages to Amazon SQS with Python Boto3
Process Messages from Amazon SQS Queues with Python Boto3
How To Delete All Messages From A SQS Queue With Python
Amazon's Simple Queue System (SQS) is a great tool to control and manage inter-application communications. It's designed to send, receive, and store messages between applications in a serverless way without message loss. Due to its nature, it tends to be used most often in automated environments. Because of this, developers will most likely want to work with it using a scripting language like Python.
Using Python to control AWS resources is easy. To get started with this, developers need to install the Boto3 library by using Python's built-in package manager called Pip (pip install boto3).
Once the Boto3 library is installed into a Python project, an object needs to be created that instantiates the Boto3 library. After that object is created, an AMI policy needs to be attached to it with the appropriate permissions to use SQS.
After that is completed, developers can use that object to manage SQS as needed. One useful command that developers may need is the purge_queue function. This function deletes all messages in a given SQS queue. The purge_queue function only requires one data string – the URL to the SQS queue.