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Amazon Aurora Deep Dive

Forked from AWS Databases team

Learning outcomes from this workshop?

  • Review underlying architecutre of Amazon Aurora databases
  • Test Aurora features in autoscaling and data recovery
  • Explore performance monitoring with Performance Insights
  • Integrate AWS Lambda with Aurora Serverless for a serverless application architecture

Pre-requisites:

  • You need to have access to an AWS account with AdminstratorAccess
  • This lab should be executed in us-east-2 region
  • Best is to follow links from this guide & open them in new a tab
  • Run this lab in a modern browser

Syllabus

Content Link
Lab 1: Setup workspace Open Lab ▶️
Lab 2: Cluster Endpoints and Auto Scaling Open Lab ▶️
Lab 3: Cloning and backtracking Open Lab ▶️
Lab 4: Performance Insights Open Lab ▶️
Lab 5: Aurora Serverless Open Lab ▶️

Clean Up

Failing to do this will result in incuring AWS usage charges.

Make sure you bring down / delete all resources created as part of this lab

Resources to delete

  • Aurora DB Clusters
  • Cloud9 environments
  • Lambda functions

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