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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

Cloud options for a replica set

We can set up and operate a replica set from our own servers, but we can reduce our operational overhead by using a DBaaS provider to do so. The three most widely used MongoDB cloud providers are Amazon’s DocumentDB, Microsoft’s Azure Cosmos DB, and MongoDB Atlas, the native offering from MongoDB, Inc.

In this section, we will go over these options and how they fare in comparison to using our own hardware and data centers.

Amazon DocumentDB

Amazon DocumentDB is a wire protocol-compatible MongoDB offering based on Amazon’s infrastructure. It offers compatibility with versions 3.6 and 4.0 of MongoDB as of summer 2022.

Amazon DocumentDB is offering what is essentially a replica set configuration with one primary for writes and up to 15 secondaries across availability zones in a single region for reads. Sharding is not supported and write scaling can only be achieved by scaling up the primary server instance. We should accordingly...

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