Profiling

Profiling

Analyze application performance and memory usage.

Detect performance and memory bottlenecks in a variety of .NET and .NET Core applications.

See Also

JetBrains .NET Day Online 2023

playlist

JetBrains .NET Day Online 2023
Session recordings of JetBrains .NET Day Online 2023.
High Performance JSON Serialization With Code Generation on C# 11 and .NET 7.0

YouTube

High Performance JSON Serialization With Code Generation on C# 11 and .NET 7.0
Ian Griffiths
The Fastest .NET Dictionary... With F#

YouTube

The Fastest .NET Dictionary... With F#
Matthew Crews
Unreal Engine Game Optimization on a Budget

YouTube

Unreal Engine Game Optimization on a Budget
Tom Looman
F# for Performance Critical Code

YouTube

F# for Performance Critical Code
Matthew Crews
JetBrains .NET Days Online 2022

playlist

JetBrains .NET Days Online 2022
Session recordings of JetBrains .NET Days Online 2022.
Maximising Algorithm Performance in .NET: Levenshtein Distance

YouTube

Maximising Algorithm Performance in .NET: Levenshtein Distance
James Turner
Performance tricks I learned from contributing to open source .NET packages

YouTube

Performance tricks I learned from contributing to open source .NET packages
Daniel Marbach
Automatic Inspections

tip

Automatic Inspections
Detect common memory issues - automatically.
Preview Source Code

tip

Preview Source Code
Introduce variables the way you like!
Profile an HTTP request

tip

Profile an HTTP request
What happens when an HTTP request is made?
Object Retention

tip

Object Retention
Inspect retention paths for an instance or a group of objects.
Writing and Running Unit Tests with ReSharper

Part of tutorial

Writing and Running Unit Tests with ReSharper
Run, debug and profile tests, do continuous testing, and inspect code coverage.
Profiling in Rider

tutorial

Profiling in Rider
Explore performance and memory profiling options in Rider, and optimize an existing application.
Introduction to Profiling in Rider

Part of tutorial

Introduction to Profiling in Rider
Let's run a first profiling session on a Sudoku solver sample application.
Conclusion - Profiling in Rider

Part of tutorial

Conclusion - Profiling in Rider
What have we learned? Profiling, profiler modes, optimizing code, DPA, and more. Let's summarize!
Profiling Modes

Part of tutorial

Profiling Modes
What are the differences between Sampling, Tracing, Line-by-Line, and Timeline profiling?
Optimize Performance with Rider

Part of tutorial

Optimize Performance with Rider
Let's try to optimize the Sudoku solver by profiling, and then optimizing code based on the performance snapshot.
Dynamic Program Analysis (DPA)

Part of tutorial

Dynamic Program Analysis (DPA)
Rider automatically analyzes memory of your applications, all the time!