Getting Started with Amazon Aurora Database Engine

The hands-on lab is part of these learning paths

Working with AWS Databases
course-steps 4 certification 1 lab-steps 4

Lab Steps

Logging in to the Amazon Web Services Console
Creating the Database Cluster
Connecting to the Virtual Machine using SSH
Using the Aurora Cluster
Failover the Aurora Cluster
Restoring the Aurora Cluster
Cleaning up the Environment

Ready for the real environment experience?

Duration1h 10m


Introduction to the High Availability and High Performance Amazon Aurora Database Engine

Lab Overview

Amazon Aurora is a MySQL-compatible relational database engine available as an Amazon Relational Database Service (RDS) option. Aurora offers up to five times better performance than MySQL with commercial-grade security, availability, and reliability. In this lab you will deploy, load, query, monitor, and failover a multiple Availability Zone (AZ) Aurora database.

Lab Objectives

Upon completion of this lab you will be able to:

  • Log in to the AWS Management Console
  • Connect to an EC2 instance to communicate with Aurora
  • Create a multi-AZ Aurora database deployment
  • Load and query data in Aurora
  • Failover an Aurora instance and recover with no data loss

Lab Prerequisites

You should be familiar with:

  • Basic understanding of local operating system and computer use
  • Secure terminal connection software such as Terminal (macOS) or PuTTY (Windows)

Lab Environment

Before completing the lab instructions the environment will look as follows:

After completing the lab instructions the environment should look similar to:


September 14th, 2018 - Updated instructions and screenshots to match the current Aurora Console interfaces

About the Author

Eric is a Lab Researcher and Developer working to add to Cloud Academy's library of hands-on labs. He is an IT veteran who enjoys the ever-changing landscape of cloud computing. He also relishes live classical music performances, because sometimes engineering is better heard than seen.