You're reading from Amazon DynamoDB - The Definitive Guide Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781803246895

Length 414 pages

Edition 1st Edition

Languages

Java

Tools

AWS

Concepts

Databases

Author (1):

Aman Dhingra

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1:Introduction and Setup

2. Chapter 1: Amazon DynamoDB in Action FREE CHAPTER

3. Chapter 2: The AWS Management Console and SDKs

4. Chapter 3: NoSQL Workbench for DynamoDB

5. Part 2: Core Data Modeling

6. Chapter 4: Simple Key-Value

7. Chapter 5: Moving from a Relational Mindset

8. Chapter 6: Read Consistency, Operations, and Transactions

9. Chapter 7: Vertical Partitioning

10. Chapter 8: Secondary Indexes

11. Part 3: Table Management and Internal Architecture

12. Chapter 9: Capacity Modes and Table Classes

13. Chapter 10: Request Routers, Storage Nodes, and Other Core Components

14. Part 4: Advanced Data Management and Caching

15. Chapter 11: Backup, Restore, and More

16. Chapter 12: Streams and TTL

17. Chapter 13: Global Tables

18. Chapter 14: DynamoDB Accelerator (DAX) and Caching with DynamoDB

19. Part 5: Analytical Use Cases and Migrations

20. Chapter 15: Enhanced Analytical Patterns

21. Chapter 16: Migrations

22. Index

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Qualification for DynamoDB

Before deciding if DynamoDB is right for your application, recognize common signs that signal the need for a database migration. Your current database setup can often provide insights indicating it’s time for a change. These indicators help assess the migration opportunity, regardless of the target database.

Let us explore the qualification process for these indicators next.

Qualifying the migration itself

To assess your current database setup, focus on key data points, such as performance metrics. These metrics reveal your database’s performance during peak and low usage times. Consider how performance issues impact your business operations:

Evaluate data related to performance, scalability, storage growth, and functionality. Determine what works well and what causes problems for your application and team.
Factor in scalability needs as your application grows. Use these insights to shortlist potential databases for migration...