String Performance: Checking For an Empty String

This article discusses the proper way to check for empty strings in C#.

Collection Performance: Sort() with CompareTo()

Let’s discuss for() and foreach() under load to establish a baseline. As you can see below, I used the same code in the previous chapter and added Task.Delay() to simulate a CPU load.

Collection Performance: Creating Collections with Capacity & AddRange()

Using List is perfectly fine when creating a collection when the number of items is not known beforehand. If the number of items is known, or even a close estimate, it could be more performant setting the collection capacity as shown in this article.

dotNetDave Says… Memory Affects Performance and Performance Effects Memory!

When architecting and wring code, performance and memory usage should always be something that needs to be addressed. Especially since so much is being moved to the cloud. Performance and memory usage done improperly can dramatically increase the cost of cloud services. If performance is slow, YOU WILL LOOSE CUSTOMERS!

Analyzing Code for Issues: .NET Memory Profiler

I have stated many, many times, “Performance affects memory and memory affects performance”. None of the code analysis tools I've written about will find every issue when it comes to memory and performance issue. The only way to find the rest is by using a memory profiler tool on running code near to production machine setup as possible.

Analyzing Code for Issues: CodeIt.Right

CodeIt.Right from Submain.com is a static code analysis add-in to Visual Studio. It follows the same rules as FxCop/ Analyze. The best part of CodeIt.Right is that it not only finds the same violations, but it will fix around 90% of them by just clicking a button!

Analyzing Code for Issues: Visual Studio Analyze

Analyze has been available in most of the Visual Studio editions for a long time and is based on FxCop. This article will discuss how to set it up and use it properly.

Serializing Objects: JSON Serialization

The most popular serialization done these days is to and from the JSON format due to it being less verbose than XML and therefor more performant. This article shows how to get the best performance when serializing objects to JSON.

Collection Performance Under Load: for() and foreach()

Let’s discuss for() and foreach() under load to establish a baseline. As you can see below, I used the same code in the previous chapter and added Task.Delay() to simulate a CPU load.

String Performance: String Comparison

This article will show performance results for using ToLower(), ToUpper(), ==, and Equals().