How we built a production-ready MCP server with OAuth 2.1 authentication and On-Behalf-Of flow for Microsoft Graph, navigating a rapidly evolving specification.
This blog post discusses the challenges and solutions encountered by the ISE team at Microsoft while making a distributed system production-ready. It focuses on issues including slow processing speeds and out-of-memory exceptions, and provides insights into the methods used to address these problems.
This blog post discusses setting up a Pytest integration test framework for a system using Dapr and Testcontainers. This framework was initially setup for a customer to suit their needs and it has been extracted into a sample project to provide a starting point.
data science and software engineering teams can choose the best tools for their respective roles in delivering machine learning models to production.
Guidance for how to kick off a Litmus Chaos Scenarios programmatically and in an Azure DevOps Pipeline.
Maintenance window implementation for database migrations using Flask.
In this article, we introduce a technique to rapidly pre-label training data for image segmentation models such that annotators no longer have to painstakingly hand-annotate every pixel of interest in an image. The approach is implemented in Python and OpenCV and extensible to any image segmentation task that aims to identify a subset of visually d...
We created a solution to ingest Azure Event Hubs events at scale using Python and Kubernetes.
This article covers how to take a standard Python web service consisting of an application tier, a WSGI server, and a Nginx reverse proxy and deploy it via Linux containers to a Linux cluster managed by Azure Service Fabric using only simple tooling like Docker Compose.
