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Amazon DynamoDB - The Definitive Guide

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781803246895
Length 414 pages
Edition 1st Edition
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Author (1):
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Aman Dhingra Aman Dhingra
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Aman Dhingra
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Table of Contents (24) Chapters Close

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 23. Other Books You May Enjoy

Other in-memory caches

While DAX is an excellent choice for in-memory caching with DynamoDB, it is not the only option available. Depending on the requirements of the application, other caching data stores such as Redis or Memcached may be more suitable.

One of the primary considerations when choosing a non-DAX caching solution is the need to manage and implement the caching logic on your own. While DAX is fully managed (meaning that the caching logic is handled by AWS), Redis and Memcached require more involvement from the user. This can include setting up and configuring the cache cluster, implementing cache eviction policies, and monitoring cache performance.

Redis is a popular in-memory cache that provides a range of data structures, such as strings, hashes, lists, sets, and sorted sets, allowing for more complex data models than DAX. Redis also supports features such as pub/sub messaging, Lua scripting, and transactions. Redis is often used for real-time applications, such...

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