Consistency Architecture in Azure Cosmos DB


In my first article in Azure Cosmos DB, we talked about What is Cosmos DB and How to provisions it, then in the Second article we talked about Partitioning Architecture in Azure Cosmos DB, then in third Article we talked about Azure Cosmos DB Global data distribution Architecture, today we will complete our series to talk about Consistency Architecture in Azure Cosmos DB For more information about my Azure articles check this link, Keep Following to learn More about Azure and Cosmos DB

Introduction

Microsoft Azure Cosmos DB Provide 5 level of Consistency (Strong, Bounded staleness, Session, Consistency prefix, Eventual) Before Explaining What is Consistency, Why I should take care about Consistency, Which Consistency is best for my APP design before all of that let us talk first about CAP Theorem

Consistency in Azure Cosmos DB
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Partitioning Architecture in Azure Cosmos DB.


Introduction

In my first article in Cosmos DB, I talked about the basic information about How to provision Cosmos DB, and today we will complete our discussion in How Cosmos DB Partitioning work, and What are the Logical Partition and Physical Partition then in the upcoming posts we will talk more and more about Designing and Architecture Layers for Cosmos DB Such as Consistency levels in Cosmos DB Which Consistency levels are suitable with your APP, What are Cosmos API choices, Disaster Recovery and High Availability in Cosmos DB Keep Following ..

  • Cosmos DB Physical Partition
  • Cosmos DB Logical Partition
  • Cosmos DB Partition Key
  • How to Choose the Right Partition Key
  • Resources
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