- System requirements
- Profiler architecture
- Profiler installation
- Running the profiler
- Profiler activation
- Welcome screen
- Start profiling
- Profiling overhead: how to reduce or avoid
- Solving performance problems
- CPU profiling
- Memory profiling
- Garbage collection
- Exception profiling
- Performance charts
- Probes: monitor higher level events
- Inspections: automatic recognition of typical problems
- Automatically trigger actions on event
- Automatic deobfuscation
- Summary, automatic deobfuscation
- Profiler command line
- Command line tool to control profiling
- Export of profiling results to external formats
- Profiler API
- Profiler HTTP API
Solving performance problems
What performance problems may arise?
- Application algorithms are usually not optimal, which leads to performance bottlenecks.
- For memory-related issues see below.
Why memory-related issues can cause performance problems?
Memory-related issues can affect an application's execution speed and stability:
When CLR cannot allocate an object (because it is out
of memory, and no more memory can be freed by the garbage collector),
OutOfMemoryErroris thrown, which can cause an application crash or further unstable operation.
- An application that uses a lot of memory reduces available physical memory for itself and other programs, and thus forces the operating system to swap memory pages to and from the disk more frequently. This leads to serious overall system performance degradation.
- CLR spends more time to perform garbage collection when more objects exist and more temporary objects are created.
Read more about memory-related problems: