Category: C#

C#

Challenging the C# StringBuilder Performance

Mar 14, 2019 | 28

Some of the biggest performance problems in almost any .NET application boil down to string...

How to Beat Array Iteration Performance with Parallelism in C# .NET

Apr 1, 2019 | 24
C# Job Queue Implementations in Depth – Part 1

Mar 7, 2019 | 21
C# Features: Innovations or Imitations? – Part 1

Aug 13, 2018 | 16
5 Techniques to avoid Memory Leaks by Events in C# .NET you should know

Dec 14, 2018 | 15

Latest

Cache Implementations in C# .NET

by Michael Shpilt | May 15, 2019 | C# | 11

One of the most commonly used patterns in software development is Caching. It’s a simple, yet extremely effective concept. The idea is reuse of results. When performing a heavy operation, we will save the result in said cache

Performance Showdown of Producer/Consumer (Job Queues) Implementations in C# .NET

by Michael Shpilt | Apr 29, 2019 | C# | 5

I recently wrote 3 blog posts on different Producer/Consumer (Job Queues) implementations. In this article, we will compare performance of all the approaches, including…

7 Debugging Techniques for when your .NET application Freezes (hangs)

by Michael Shpilt | Apr 22, 2019 | C# | 4

How many times did you use a desktop application to end up with a frozen unresponsive window? This article is about what we are to do when our .NET application freezes. We’re going to explore tools and debugging techniques to see where the program is stuck and to find the core cause of the issue.

8 Ways You can Cause Memory Leaks in .NET

by Michael Shpilt | Apr 15, 2019 | C# | 13

Memory leaks are sneakily bad creatures. It’s easy to ignore them for a very long time, while they slowly destroy the application. With memory leaks, your memory consumption grows, creating GC pressure and performance problems. Finally, the program will just crash on an out-of-memory exception.

C# Job Queues (part 3) with TPL Dataflow and Failure Handling

by Michael Shpilt | Apr 9, 2019 | C# | 4

In this article, we’ll see how to implement Job Queues with TPL Dataflow, including implementations of several of the said variations. We will dive into the Dataflow mindset along the way, figuring out this awesome library.

How to Beat Array Iteration Performance with Parallelism in C# .NET

by Michael Shpilt | Apr 1, 2019 | C# | 24

Let’s consider a simple programming challenge: Summing all items of a large array. Now it stands to reason that this can be easily optimized by using parallelism…

C# Job Queues (part 2) with Reactive Extensions and Channels

by Michael Shpilt | Mar 21, 2019 | C# | 6

In the last article we talked about what are Job Queues in C#. We saw several great implementation using BlockingCollection and the thread-pool. In part 2, we’ll see a couple of great ones including…