Process Amazon S3 Events with AWS Lambda


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How to process S3 objects without servers using AWS Lambda

Amazon Simple Storage Service (S3) lets you store, retrieve, update, and version objects in the Cloud.

Not only does it guarantee durability and high availability at low cost, but it also enables event-driven systems by notifying you whenever objects are created, updated, or deleted. This lets you connect S3 to SQS queues, SNS notifications, or AWS Lambda for custom processing.

In this Lab, we will learn how to process new image files uploaded into S3 with a Lambda Function. As a simple example, we will use Python to compress the input image and generate a gzipped version.


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Follow these steps to learn by building helpful cloud resources

Logging in to the Amazon Web Services Console

Your first step to start the Lab experience

S3 Events overview

Learn which S3 events can be processed by AWS Lambda

Create an S3 bucket

Create a new S3 bucket

Implement a Lambda Function to process S3 events

AWS Lambda implementation of the processing logic

Test the S3 Trigger

Upload a new file to S3 and verify the trigger output