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Roundup #42: Nancy, BuildXL, String Params, Rider, Infra Code

Here are the things that caught my eye this week in .NET.  I’d love to hear what you found most interesting this week.  Let me know in the comments or on Twitter. Nancy 2.0.0 Pretty sure everyone has been using Nancy 2.0.0-clinteastwood in production for the past 2 years but regardless, official 2.0 release. Link: https://www.nuget.org/packages/Nancy/ BuildXL Build Accelerator, BuildXL for short, is a build engine originally developed for large internal teams at Microsoft, and owned by the Tools for Software Engineers team, part of the Microsoft One Engineering System internal engineering group. Internally at Microsoft, BuildXL runs 30,000+ builds per… Read More »Roundup #42: Nancy, BuildXL, String Params, Rider, Infra Code

Roundup #41: Apache Spark, Strongly Typed EntityIDs, Azure Workers, Automapper, NetCore3 Progress

Here are the things that caught my eye this week in .NET.  I’d love to hear what you found most interesting this week.  Let me know in the comments or on Twitter. Introducing .NET for Apache® Spark™ Preview Today at Spark + AI summit we are excited to announce .NET for Apache Spark. Spark is a popular open source distributed processing engine for analytics over large data sets. Spark can be used for processing batches of data, real-time streams, machine learning, and ad-hoc query. Link: https://devblogs.microsoft.com/dotnet/introducing-net-for-apache-spark/ Using strongly-typed entity IDs to avoid primitive obsession Have you ever requested an entity from a service (web API / database / generic service) and got… Read More »Roundup #41: Apache Spark, Strongly Typed EntityIDs, Azure Workers, Automapper, NetCore3 Progress

CQRS without Multiple Data Sources

One of the most common misconceptions about CQRS is it implies Eventual Consistency. That you must have different data sources for your commands and queries. Meaning you will have a use one data source for commands/writes and an entirely different data source for query/reads. This is simply untrue. This assumption implies that you’re query/read data source will be eventually consistent with the command/write side. This is because the assumption is your commands will write to its data source, then emit events that will be processed and update your query/read database independently. If you’re unfamiliar with CQRS, I highly recommend checking… Read More »CQRS without Multiple Data Sources