We’re excited to introduce the Azure Cosmos DB Design Patterns video series—your go-to resource for learning how to design scalable, efficient, and cost-effective applications with Azure Cosmos DB.

Built on real-world use cases, each episode explores a proven design pattern, walking through how it works, when to use it, and how to implement it using sample code from the Azure Cosmos DB Design Patterns GitHub repository.

Hosted by Mark Brown (Azure Cosmos DB Principal Program Manager) and Jasmine Greenaway (Microsoft Senior Cloud Advocate), this series provides actionable insights to help you optimize your data models, queries, and application architecture. Whether you’re dealing with high-frequency data ingestion, schema evolution, distributed transactions, or performance optimization, these patterns will help you get the most out of Azure Cosmos DB.

What’s Covered in the Series?

Each video in the series explores a specific design pattern, showcasing practical examples and implementation best practices. Here’s a look at the patterns featured:

• Attribute Array – Simplifies query construction and indexing by storing similar name/value pairs in an array.
• Data Binning – Efficiently aggregates high-frequency data to reduce storage costs and improve query performance.
• Distributed Counter – Manages high-volume counting scenarios, such as tracking views, votes, or API usage.
• Distributed Lock – Implements a reliable locking mechanism in distributed applications to prevent conflicts.
• Document Versioning – Maintains historical versions of documents without impacting query performance.
• Event Sourcing – Stores a complete history of changes to enable auditability and state reconstruction.
• Materialized View – Optimizes read-heavy queries by maintaining precomputed views.
• Schema Versioning – Enables seamless schema evolution while keeping existing applications functional.

Watch the Full Series

Ready to dive in? Check out the complete playlist here:
👉 Azure Cosmos DB Design Patterns Video Series

Contribute to the Repository

This video series is built on a rich collection of sample implementations that you can find in the Azure Cosmos DB Design Patterns GitHub repository. We invite you to contribute to the repository—your ideas, improvements, and new pattern suggestions are welcome! Help us grow this resource and make it even more valuable for our community and customers.

We hope you find this series informative and inspiring as you build innovative solutions with Azure Cosmos DB.

Find More Azure Cosmos DB Samples

This series is just a glimpse into the many ways you can design and optimize your Azure Cosmos DB solutions. You can find even more real-world Cosmos DB samples and use cases in the Azure Cosmos DB Gallery. Whether you’re looking for best practices, architecture examples, or sample applications, the gallery has a wealth of resources to explore.

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About Azure Cosmos DB

Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL and MongoDB applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.

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