Uploaded June 2025 | Updated September 2026, 1 week ago
In this video, you'll learn how to implement async Azure Cosmos DB operations with FastAPI on Azure Functions for lightning-fast applications. We'll explore why async operations are critical for fast response times and how to properly combine singleton connection pooling with non-blocking database calls that keep your function instances responsive under high load.
What You'll Learn:
• Why async operations are essential for real-time AI features and concurrent request handling
• How Azure Functions scaling works with FastAPI async patterns for maximum efficiency
• The difference between connection pooling and async operations - and why you need both
• Singleton CosmosClient pattern that creates one connection pool per function instance
• How azure.cosmos.aio makes operations non-blocking within your shared connection pool
• FastAPI dependency injection patterns that work seamlessly with async Azure Functions
Links:
• Code Repository: github.com/madebygps/cosmosdb-fastapi-functions
• Azure Cosmos DB Async Operations Guide: devblogs.microsoft.com/cosmosdb/run-parallel-crud-operations-with-python-async-io-for-azure-cosmos-db
• Azure Cosmos DB Python Best Practices: learn.microsoft.com/en-us/azure/cosmos-db/nosql/best-practice-python
• FastAPI Async Dependencies: fastapi.tiangolo.com/async
• Azure Functions Python Guide: learn.microsoft.com/en-us/azure/azure-functions/functions-reference-python
• 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
#Python #AzureCosmosDB #Azure #NoSQL #DatabaseTutorial #PythonSDK
In this video, you'll learn how to implement async Azure Cosmos DB operations with FastAPI on Azure Functions for lightning-fast applications. We'll explore why async operations are critical for fast response times and how to properly combine singleton connection pooling with non-blocking database calls that keep your function instances responsive under high load.
What You'll Learn:
• Why async operations are essential for real-time AI features and concurrent request handling
• How Azure Functions scaling works with FastAPI async patterns for maximum efficiency
• The difference between connection pooling and async operations - and why you need both
• Singleton CosmosClient pattern that creates one connection pool per function instance
• How azure.cosmos.aio makes operations non-blocking within your shared connection pool
• FastAPI dependency injection patterns that work seamlessly with async Azure Functions
Links:
• Code Repository: github.com/madebygps/cosmosdb-fastapi-functions
• Azure Cosmos DB Async Operations Guide: devblogs.microsoft.com/cosmosdb/run-parallel-crud-operations-with-python-async-io-for-azure-cosmos-db
• Azure Cosmos DB Python Best Practices: learn.microsoft.com/en-us/azure/cosmos-db/nosql/best-practice-python
• FastAPI Async Dependencies: fastapi.tiangolo.com/async
• Azure Functions Python Guide: learn.microsoft.com/en-us/azure/azure-functions/functions-reference-python
• 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
#Python #AzureCosmosDB #Azure #NoSQL #DatabaseTutorial #PythonSDK
