Showing tag results for Python

Series: Building Serverless Applications with Azure Functions and Azure Cosmos DB In the first post of this series, we focused on establishing the fundamentals of serverless architecture by building and deploying a simple HTTP API using Azure Functions and FastAPI. The post centred on serverless compute, showing how Azure Functions handles executi...

Introduction  This post is Part 1 of the series Serverless Application Development with Azure Functions and Azure Cosmos DB, where we explore how to build end-to-end serverless applications using Azure Functions for compute and Azure Cosmos DB for storage. Together, these services allow you to build scalable, event-driven, cost-efficient cloud sol...

Local large language models (LLMs) provide significant advantages for developers and organizations. Key benefits include enhanced data privacy, as sensitive information remains entirely within your own infrastructure, and offline functionality, enabling uninterrupted work even without internet access. While cloud-based LLM services are convenient, ...

I'm excited to share our new video series where I walk through building a production-ready inventory management API using Python, FastAPI, and Azure Cosmos DB NoSQL. This project demonstrates modern async patterns, clean architecture, and enterprise-grade features like batch operations and optimistic concurrency control. This builds on our Get...

There are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful systems like databases. For example, when you run integration tests, each CI job can start the database in an isolated container with a clean state, preventing conflicts between tests. This results in a testing environment that is reliable, consistent, ...

Learn how AI Engineers can use Azure Cosmos DB for AI Applications.

We’re excited to announce new features in the preview of Azure Comsos DB Jupyter Notebooks. With our new C# notebooks and integration with GitHub, working with your Azure Cosmos DB data is now easier than ever.