CloudAcademy

Getting Started with Amazon Aurora Database Engine

The hands-on lab is part of this learning path

Solutions Architect – Associate Certification Preparation for AWS - Feb 2018

course-steps 28 certification 6 lab-steps 23

Lab Steps

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

Ready for the real environment experience?

DifficultyBeginner
Duration1h 10m
Students369

Description

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:

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.