Deploy a Serverless Image Processing Pipeline

INTERMEDIATE

180 minutes

5 tasks

In this project, you'll deploy a serverless image processing pipeline using AWS services. You'll learn to automate the resizing and conversion of images uploaded to S3, leveraging AWS Lambda and Step Functions.

Sandbox access coming soon

Scenario

PixPro, a digital media company, is seeking a scalable solution to process user-uploaded images. They require an automated pipeline to resize and convert images for their web platform. You'll build and deploy this pipeline using AWS serverless services.

Learning Objectives

Understand the AWS serverless architecture.
Implement image processing with AWS Lambda.
Utilize Step Functions to orchestrate workflows.
Configure S3 for event-driven architecture.
Monitor and optimize the pipeline using CloudWatch.

tasks (5)

task 1: Create an S3 bucket for image uploads.

20 min

task 2: Develop a Lambda function to resize images.

45 min

task 3: Set up AWS Step Functions to orchestrate the pipeline.

30 min

task 4: Configure S3 to trigger the Lambda function on image upload.

25 min

task 5: Monitor the pipeline using CloudWatch metrics and logs.