Understanding Consistency Models in Azure Cosmos DB to manage availability and performance

Explore the five SLA-backed consistency levels (strong, bounded staleness, session, consistent prefix, and eventual) available in Azure Cosmos DB that enable developers to manage availability and performance tradeoffs. This video will help you to understand how they work and the consistency guarantees they provide when using a managed distributed NoSQL database.
What is consistency? 0:00:22
Overview of consistency models 0:01:30
Strong consistency 0:01:51
Bounded staleness consistency 0:02:40
Session consistency 0:03:17
Consistent prefix consistency 0:03:44
Eventual consistency 0:04:07
Performance tradeoffs 0:04:39
For more details of Azure Cosmos DB consistency models, visit:
aka.ms/cosmos-consistency-lev...
docs.microsoft.com/en-us/azur...
docs.microsoft.com/en-us/azur...
docs.microsoft.com/en-us/azur...
About Azure Cosmos DB
Azure Cosmos DB is a fully managed NoSQL database for modern app development, with SLA-backed speed and availability, automatic and instant scalability, and open source APIs for MongoDB, Cassandra, and other NoSQL engines.
www.AzureCosmosDB.com
#AzureCosmosDB #NoSQL #database

[@sadukie]

Whoever came up with the music notes animation needs to know - this is my favorite doc in all of the Azure Cosmos DB docs because the animations cover the consistency states very well!

[@ahmad.mozaffar]

Thanks a started few days ago with Cosmos Db Going so fast with i was impressed with its power, the best Db has been created ever

[@svetlanaudintsova8683]

underrated video