Move to AWS RDS Aurora you own this product

prerequisites
basic Docker • basic Python • AWS services basics • basic AWS Fargate application with CDK
skills learned
use AWS RDS Aurora with AWS Fargate • control permissions on the container • store secrets and pass them to the container without human intervention
Chadchapol Vittavutkarnvej
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside

As a lead DevOps engineer, you’ve learned that using Fargate to host a database is not ideal. Your task is to solve that problem by attaching permanent storage to the container and adding important maintenance features. To deliver this solution, you’ll set up an AWS Aurora PostgreSQL with CDK, integrate it with a Fargate service, and keep the connection between the service and the database secure with AWS Secret Manager. When you’re done, you’ll have a working end-to-end solution ready to be deployed with CDK.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Chadchapol Vittavutkarnvej
Chadchapol Vittavutkarvej has worked as a software engineer in various industries for over ten years. As a solution architect, he specializes in DevOps and serverless architectures. He has collaborated on and published several blogs, open-source projects, and examples. Chadchapol holds several AWS certifications including Solutions Architect (Professional), DevOps (Professional), Security specialty, and Machine Learning specialty

prerequisites

This liveProject is for software engineers who know Docker basics and want to deploy production applications on AWS Fargate. To begin this liveProject you’ll need to be familiar with the following:

TOOLS
  • Python
  • AWS services
  • Docker
TECHNIQUES
  • Build and run Docker containers locally
  • Basic Python programming
  • Basics of AWS services (how to log in, sign up, view, and create AWS resources via the web interface)
  • Deploy AWS Fargate application with CDK

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