Uploaded February 2025 | Updated September 2026, 1 week ago
Over the years, developers have asked for guidance on designing applications with Azure Cosmos DB, from implementing common NoSQL patterns to leveraging Cosmos DB’s unique capabilities. To make these insights more accessible, we created Azure Cosmos DB Design Patterns—a GitHub repository with sample implementations to help developers solve real-world architectural challenges.
In this episode, Mark Brown and Jasmine Greenaway explore the Global Distributed Lock pattern—a technique for synchronizing access to shared resources in a distributed system. Learn how Azure Cosmos DB’s optimistic concurrency control, time-to-live (TTL) settings, and strong consistency model enable the implementation of a scalable and fault-tolerant distributed lock. The episode also covers fencing tokens, a mechanism to prevent stale processes from incorrectly acquiring locks, ensuring data integrity. See how this pattern can be used to handle scenarios where multiple processes need exclusive access to a resource without relying on pessimistic locking.
github.com/Azure-Samples/cosmos-db-design-patterns/tree/main/distributed-lock
🔗 Explore all design patterns: https://aka.ms/AzureCosmosDB/DesignPatterns
🔗 Find all the videos in this series - https://aka.ms/AzureCosmosDB/DesignPatternsVids
#AzureCosmosDB #DistributedLock #NoSQL
Useful links:
• Azure Cosmos DB Samples Gallery - https://aka.ms/AzureCosmosDB/Gallery
• Try Azure Cosmos DB for free - https://aka.ms/trycosmosdb
• Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV
• Subscribe to Azure Cosmos DB on YouTube - youtube.com/AzureCosmosDB
• Follow Azure Cosmos DB on X - twitter.com/AzureCosmosDB
• Follow Azure Cosmos DB on LinkedIn - linkedin.com/company/azure-cosmos-db
Over the years, developers have asked for guidance on designing applications with Azure Cosmos DB, from implementing common NoSQL patterns to leveraging Cosmos DB’s unique capabilities. To make these insights more accessible, we created Azure Cosmos DB Design Patterns—a GitHub repository with sample implementations to help developers solve real-world architectural challenges.
In this episode, Mark Brown and Jasmine Greenaway explore the Global Distributed Lock pattern—a technique for synchronizing access to shared resources in a distributed system. Learn how Azure Cosmos DB’s optimistic concurrency control, time-to-live (TTL) settings, and strong consistency model enable the implementation of a scalable and fault-tolerant distributed lock. The episode also covers fencing tokens, a mechanism to prevent stale processes from incorrectly acquiring locks, ensuring data integrity. See how this pattern can be used to handle scenarios where multiple processes need exclusive access to a resource without relying on pessimistic locking.
github.com/Azure-Samples/cosmos-db-design-patterns/tree/main/distributed-lock
🔗 Explore all design patterns: https://aka.ms/AzureCosmosDB/DesignPatterns
🔗 Find all the videos in this series - https://aka.ms/AzureCosmosDB/DesignPatternsVids
#AzureCosmosDB #DistributedLock #NoSQL
Useful links:
• Azure Cosmos DB Samples Gallery - https://aka.ms/AzureCosmosDB/Gallery
• Try Azure Cosmos DB for free - https://aka.ms/trycosmosdb
• Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV
• Subscribe to Azure Cosmos DB on YouTube - youtube.com/AzureCosmosDB
• Follow Azure Cosmos DB on X - twitter.com/AzureCosmosDB
• Follow Azure Cosmos DB on LinkedIn - linkedin.com/company/azure-cosmos-db
