You're reading from AWS Certified Database – Specialty (DBS-C01) Certification Guide A comprehensive guide to becoming an AWS Certified Database specialist

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803243108

Length 472 pages

Edition 1st Edition

Tools

AWS

Concepts

IT Certification

Author (1):

Kate Gawron

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1: Introduction to Databases on AWS

2. Chapter 1: AWS Certified Database – Specialty Overview FREE CHAPTER

3. Chapter 2: Understanding Database Fundamentals

4. Chapter 3: Understanding AWS Infrastructure

5. Part 2: Workload-Specific Database Design

6. Chapter 4: Relational Database Service

7. Chapter 5: Amazon Aurora

8. Chapter 6: Amazon DynamoDB

9. Chapter 7: Redshift and DocumentDB

10. Chapter 8: Neptune, Quantum Ledger Database, and Timestream

11. Chapter 9: Amazon ElastiCache

12. Part 3: Deployment and Migration and Database Security

13. Chapter 10: The AWS Schema Conversion Tool and AWS Database Migration Service

14. Chapter 11: Database Task Automation

15. Chapter 12: AWS Database Security

16. Part 4: Monitoring and Optimization

17. Chapter 13: CloudWatch and Logging

18. Chapter 14: Backup and Restore

19. Chapter 15: Troubleshooting Tools and Techniques

20. Part 5: Assessment

21. Chapter 16: Exam Practice

22. Chapter 17: Answers

23. Other Books You May Enjoy

Understanding Aurora clusters and replicas

Amazon Aurora has been designed to benefit from cloud technology and as a result, it can use cloud ideologies such as auto-scaling (both horizontal and vertical) and decoupling of different parts of the application to improve resilience in a deeper manner than RDS. Let's take a closer look at an Aurora cluster to see how it decouples the compute layer and the storage layer to offer high redundancy and fast scaling.

Aurora clusters

An Aurora cluster is made up of two different types of nodes:

Database instance: This is the power of the database and is where the database application sits and the processing of the data happens.
Cluster volume: This is the storage layer spanning three AZs to offer the six data storage locations.

The following diagram shows how an Aurora cluster is arranged:

Figure 5.1 – Amazon Aurora cluster topology

All of the data is stored within the cluster volumes...