This lab is currently in Beta, content may be updated as we refine the material
LABINTERMEDIATE

S3 Storage & ECR Registry Integration Lab

Transform TaskFlow into a cloud-native platform! Add file attachment features using S3 object storage, integrate boto3 Python SDK for cloud file management, migrate container images to AWS ECR for enterprise-grade registry, and implement IAM roles for least-privilege access. Master cloud service integration patterns used by platform engineers in 2025.

120 minutes
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Lab Overview

🛠 Lab from the Platform Engineering Bootcamp. Used in Week 10. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):

  • Week 10: AWS Cloud Computing (slug: aws-cloud-computing)

🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.

Enhance TaskFlow with AWS cloud storage and container registry services. Learn S3 object storage by implementing file attachment functionality, use boto3 Python SDK for S3 integration, migrate Docker images from Docker Hub to AWS ECR, and configure IAM roles for secure service access.

What You'll Learn

Create and configure AWS S3 buckets for object storage

Implement Python boto3 SDK for S3 file operations (upload, download, delete)

Enhance TaskFlow backend with file attachment REST API endpoints

Configure S3 bucket policies and CORS for secure web access

Create AWS ECR (Elastic Container Registry) repositories

Build, tag, and push Docker images to AWS ECR

Update EC2 deployment to pull images from ECR instead of Docker Hub

Configure IAM roles and policies for S3 and ECR access

Apply 2025 best practices for secure credentials with IAM roles and cloud service integration

Prerequisites

Week 9 Lab 1: EC2 Fundamentals & TaskFlow Deployment completed

TaskFlow running on AWS EC2

Python programming basics

Docker image building and tagging

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