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Guide to NoSQL with Azure Cosmos DB

You're reading from   Guide to NoSQL with Azure Cosmos DB Work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612899
Length 214 pages
Edition 1st Edition
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Authors (2):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
Daron Yöndem Daron Yöndem
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Daron Yöndem
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Table of Contents (9) Chapters Close

Preface 1. Introduction to NoSQL in Cosmos DB 2. Getting Started with Cosmos DB Development and NoSQL Document Databases FREE CHAPTER 3. Writing and Running Queries on NoSQL Document Databases 4. Building an Application with C#, Cosmos DB, a NoSQL Document Database, and the SQL API 5. Working with POCOs, LINQ, and a NoSQL Document Database 6. Tuning and Managing Scalability with Cosmos DB 7. Answers 8. Other Books You May Enjoy

Understanding the system topology NoSQL

Now that we understand the basics of the Cosmos DB resource model, we will analyze the system topology that is hidden behind the scenes and makes it possible to run the database service at a global scale. The following diagram illustrates the system topology, starting at a Cosmos DB account on Earth, covering up to the fault domains. At the time I was writing this book, Azure didn't have any Moon or Mars regions enabled for Cosmos DB:

As previously explained, Cosmos DB is available in many Azure regions across around the world. Each Azure region has many data centers. Each data center has deployed many big racks known as stamps. The stamps are divided into fault domains that have server infrastructures.

The following diagram illustrates the system topology for each fault domain:

There are clusters with hundreds of servers deployed to many fault domains. The replica sets are deployed to many fault domains to provide an infrastructure that is highly resilient and continues working without issues when hardware failures occur. Each cluster has a database replica with the following elements:

  • Resource governor for throughput and latency guarantees
  • Transport layer for replication
  • Admission control for security (authentication and authorization)
  • Database engine to run operations, queries, and indexing
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