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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.
Do you have questions about this Lab? Contact our cloud experts by sending an email to firstname.lastname@example.org.
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
September 10, 2018 - Updated instructions and images to improve the lab experience
About the Author
Alex is an Italian Software Engineer with a great passion for web technologies and music.
He spent the last 5 years building web products and deepening his knowledge on full stack web development and software design, with a main focus on frontend and UX.
Despite being a passionate coder, Alex worked hard on his software and sound engineering background, which provides him the tools to deal with multimedia, signal processing, machine learning, AI and many interesting topics related to math and data science.
Indeed, he had the opportunity to study and live in a very young and motivating environment in Bologna and Milan, two of the biggest and oldest Italian Universities. These experiences lead him to work on several projects involving robotics, machine intelligence, music semantic analysis and modern web development.
Alex is currently a Senior Software Engineer at Cloud Academy, a position that gave him the possibility to discover the Cloud world and exploit its potential as a web developer and data scientist.