This series of articles show "how" to achieve architecture with decoupled infrastructure concerns so that the end solution is simple to follow and maintain. 

It was a legacy enterprise project and I was asked to improve its “advanced” filtering capabilities.

Before they had something like this:

But wanted something like this:

 This article dives into the mock questions I would ask, along with responses that are my personal best guess to the answers. Could my answers not reflect actual opinions shared by the team at Microsoft? Sure, but I'm hoping folks from the .NET team can jump in to correct me if I am way off base.

I get ~8-20ms or 6x faster than PostgreSQL. So it seems like the added overhead of maintaining an Elasticsearch cluster may be worth it to get the performance I’m after. 

Marten 3.0 is live on Nuget. It didn’t turn out to be a huge release, but we needed to accommodate the Npgsql 4.* dependency and I felt like that was a breaking change, so here we go.  

In general, to be honest, R# feels smarter. But another aspect here is that with R#, I rarely have to leave my current context, pretty much everything is available immediately from where I am. 

I watched a lot of talks and read a lot of articles relevant to Angular performance, and this post is the summary of my findings.

In this article I will explain some general purpose queries. I think each developer should have knowledge of these queries. These queries are not related to any specific topic of SQL. But knowledge of such queries can solve some complex tasks and may be used in many scenarios, so I decided to write an article on these queries.