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This guide explores workflow engines, their essential features, and types, while offering insights and evaluation criteria to help you choose the right solution for your specific use case.

In this post we will describe how we were able to run our Dask-based data preparation at scale on Azure ML Compute Clusters, using Dask-MPI and the native Azure ML MPI support.

Data modeling on Dataverse with real-world customer scenarios

Step-by-step guide on how to deploy node.js application in production using docker and Azure pipeline

Guidance on how we can integrate Azure AD B2C's user login workflow within mobile app development using Flutter.

Revolutionize your collaboration game, experience effortless pair programming with GitHub Codespaces and VSCode.

An overview of how to use the Polly and Simmy libraries for a hypothesis-driven resilience engineering and chaos testing approach to .NET Azure Functions.

Implementing a large-scale data operations platform for autonomous vehicles using Azure Data Factory (ADF) and Azure Batch.

Avoid the common pitfalls of moving from vendor-hosted CI/CD agents to self-hosted ones.

Solution to continuously push logs from IoT Edge devices to a Log Analytics Workspace on Azure.