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Mastering MongoDB 6.x

You're reading from   Mastering MongoDB 6.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243863
Length 460 pages
Edition 3rd Edition
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Author (1):
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Alex Giamas Alex Giamas
Author Profile Icon Alex Giamas
Alex Giamas
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Table of Contents (22) Chapters Close

Preface 1. Part 1 – Basic MongoDB – Design Goals and Architecture
2. Chapter 1: MongoDB – A Database for the Modern Web FREE CHAPTER 3. Chapter 2: Schema Design and Data Modeling 4. Part 2 – Querying Effectively
5. Chapter 3: MongoDB CRUD Operations 6. Chapter 4: Auditing 7. Chapter 5: Advanced Querying 8. Chapter 6: Multi-Document ACID Transactions 9. Chapter 7: Aggregation 10. Chapter 8: Indexing 11. Part 3 – Administration and Data Management
12. Chapter 9: Monitoring, Backup, and Security 13. Chapter 10: Managing Storage Engines 14. Chapter 11: MongoDB Tooling 15. Chapter 12: Harnessing Big Data with MongoDB 16. Part 4 – Scaling and High Availability
17. Chapter 13: Mastering Replication 18. Chapter 14: Mastering Sharding 19. Chapter 15: Fault Tolerance and High Availability 20. Index 21. Other Books You May Enjoy

Why do we need sharding?

In database systems and computing systems in general, we have two ways to improve performance. The first one is to simply replace our servers with more powerful ones, keeping the same network topology and systems architecture. This is called vertical scaling.

An advantage of vertical scaling is that it is simple, from an operational standpoint, especially with cloud providers such as Amazon making it a matter of a few clicks to replace an r6g.medium server instance with an r6g.extralarge one. Another advantage is that we don’t need to make any code changes, so there is little to no risk of something going catastrophically wrong.

The main disadvantage of vertical scaling is that there is a limit to it; we can only get servers that are as powerful as those our cloud provider can give to us.

A related disadvantage is that getting more powerful servers generally comes with an increase in cost that is not linear but exponential. So, even if...

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