The Mars Pathfinder landed to a media fanfare and began to transmit data back to Earth. Days later and the flow of information and images was interrupted by a series of total systems resets. How this problem was a) diagnosed and b) resolved still makes for a fascinating tale for software engineers.


ISPC elegantly demonstrates an important future direction for the evolution of CPU Multi-Core SIMD languages, GPU compute languages, data parallel C++ extensions, and embedded application or domain specific compute languages. Specifically, I want to discuss how ISPC exposes thread level programming and separately how ISPC distinctly specifies SPMD iteration ranges.


In this post, we’ll learn about the use of SignalR to build real-time functionality in your ASP NET Core web apps. SignalR can also be used to add real-time functionality to desktop applications, mobile apps and Azure Functions.


For the month of December, I will be building a Flutter app and writing a daily blog post about the process.


This reference architecture shows how to train a recommendation model using Azure Databricks and deploy it as an API by using Azure Cosmos DB, Azure Machine Learning, and Azure Kubernetes Service (AKS). This architecture can be generalized for most recommendation engine scenarios, including recommendations for products, movies, and news.


Whilst pretty much all .NET developers have heard of LINQPad - from my experience, a much smaller percentage have actually given it a proper go and use it on a regular basis.


Because a JSON string equates to a plain text string, SQL Server and any other relational database management system (RDBMS) will let you work with JSON, as they all allow for storing strings, no matter their presentation. That capability is enhanced in SQL Server 2016, the first-ever version that lets developers query within JSON strings as if the JSON were organized into individual columns. What's more, you can read and save existing tabular data as JSON.