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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

Summary

In this chapter, we covered some topics that were not detailed in previous chapters. It is important to apply the best practices according to our workload requirements. We started by covering some patterns and anti-patterns that MongoDB has identified over the years. Read performance is usually what we want to optimize for; that is why we discussed consolidating queries and the denormalization of our data.

Operations are also important when we go from deployment to ensuring the continuous performance and availability of our cluster. Security is something that we often don’t think about until it affects us. That’s why we should invest the time beforehand to plan and make sure that we have the measures in place to be sufficiently secure.

Finally, we introduced the concept of checklists to keep track of our tasks and to make sure that we complete all of them before major operational events (deployment, cluster upgrades, moving to sharding from replica sets...

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