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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

Cost optimizing with capacity reservations

DynamoDB reserved capacity is a cost-saving option that allows users to commit to a predefined amount of provisioned throughput for a fixed duration, typically one or three years. By reserving capacity upfront, users can benefit from significant cost savings compared to on-demand or public pricing of provisioned capacity modes.

Reserved capacity can be considered primarily as a billing feature, as its main impact is on the billing of an AWS account’s regional provisioned capacity for a given month. It does not affect a provisioned mode table’s performance, limits, or scaling behavior.

Reserved capacity is a valuable choice for minimizing DynamoDB costs in workloads characterized by consistent usage and predictable growth. Similar to the pricing of provisioned capacity, reserved capacity incurs charges regardless of utilization. This means that careful consideration should be given before purchasing long-term reserved capacity...

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