Summary
In this chapter, we discussed some techniques that can improve the performance of code execution and dug into the projects that make up .NET Core and ASP.NET Core. We explored data structures, serialization, hashing, parallel programming, and how to benchmark to measure relative performance. We also covered how to perform multithreading, concurrency, and locking with C#.
Linear performance characteristics are easier to scale and code that does not exhibit this behavior can be slow when the load increases. Code that has an exponential performance characteristic or has erratic outliers (which are rare but very slow when they occur) can cause performance headaches. It is often better to aim for code that, while being slightly slower in normal cases, is more predictable and performs consistently over a large range of loads.
The main lesson here is to not blindly apply parallel programming and other potentially performance-enhancing techniques. Always test to make sure that they make a...
