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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

Using auto scaling for provisioned mode

By utilizing auto scaling, the process of increasing or decreasing the provisioned capacity becomes automated, ensuring that the table can dynamically scale up or down to handle the varying workload. This feature eliminates the need for manual intervention, allowing the table to efficiently adapt to changes in traffic and optimize resource allocation. Auto scaling is a valuable tool in maintaining optimal performance and cost-efficiency for provisioned mode tables in DynamoDB.

Auto scaling for provisioned mode tables operates by continuously monitoring the consumed throughput of a table and comparing it to the provisioned throughput. This process triggers automatic scaling actions, eliminating the need for manual intervention in managing throughput. The key components involved in the functioning of auto scaling, alongside DynamoDB, include CloudWatch metrics and alarms. AWS Application Auto Scaling, an AWS service, handles the configuration...

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