Introduction

From the list of arguments with their type, it becomes possible to figure out their value when a method gets called. The rest of this post describes how to access method call parameters and get the value of numbers and strings.

Where are my parameters?

When you pass COR_PRF_ENABLE_FUNCTION_ARGS to ICorProfilerInfo::SetEventMask, the runtime prepares…

Introduction

After introducing the CLR profiling API by tracing managed methods calls, then dealing with assemblies and types, it is time to look at methods signatures. Remember that the starting point is the FunctionID received by the Enter callback each time a method is executed.

The question answered by this post…

Introduction

In the first post of this series dedicated to CLR Profiling API, you have seen how to get a FunctionID each time a managed method is executed in a .NET application. As David Broman (source of most of the profiling implementation details at Microsoft) explains, a FunctionID is a pointer…

Introduction

When I want to dig into a new API, I implement a real world scenario. This is exactly what I did for the .NET native profiling API. I want to know how to get parameters and return value of any method call during any .NET application life. …

I have already explained how to write your own allocation monitoring tool. Each time 100 cumulated KB are allocated, the CLR emits an AllocationTick event with the name of the last allocated type before the 100 KB threshold and if it is in the LOH or not. …

In the context of helping the teams at Criteo to clean up our code base, I gathered and documented a few C# anti-patterns similar to Kevin’s publication about performance code smell. Here is an extract related to good/bad memory patterns.

Even though the garbage collector is doing its works out…

Introduction

In the previous post, I described why you might get weird reversed callstacks in Visual Studio when analyzing or debugging async/await code. And if you are using Perfview to profile the same application, you should also get the same reverse continuation flow:

Introduction

With my colleague Eugene, we spent a long time analyzing performances of one of Criteo main applications with Perfview. The application is processing thousand of requests in an asynchronous pipeline full of async/await calls. During our research, we ended up with weird callstacks that looked kind of “reversed”. …