- 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
- Understanding garbage collection
- Shallow and retained sizes
- Object allocation recording
- GC roots view
- Memory tab
- Useful actions
- 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
Memory profiling is an essential aspect of performance optimization for any .NET application. It involves monitoring and analyzing the runtime behavior of your application in terms of memory usage, object creation, and garbage collection.
- Goals of memory profiling
- Common problems and solutions
- How to start memory profiling
- Best practices
Goals of memory profiling
Identify memory leaks
Detect areas in the code where objects are being created but not released, leading to increased memory usage over time.
Optimize memory usage
Identify and improve areas where unnecessary memory is allocated or where more efficient data structures can be used.
Garbage collection analysis
Understanding how garbage collection (GC) impacts your application can help in tuning it for better performance.
Improve application speed
Efficient memory use generally leads to faster execution as fewer CPU cycles are wasted in allocation and deallocation. Reducing the memory footprint of an application can make it more scalable, allowing it to handle more users or larger data sets.
Common problems and solutions
High memory usage
Find which data structures or objects consume the most memory. Consider using more memory-efficient data structures or algorithms.
Frequent garbage collection
Performance charts can show how often garbage collection is occurring. Profile object allocations to learn where in the code each object was allocated, and find the objects that are being created and discarded rapidly. Use object pooling or revise the code to minimize object creation.
How to start memory profiling
When the profiler is connected to application being profiled, the toolbar contains the following memory profiling controls:
|Capture memory snapshot - save the profiling results to a file for comprehensive analysis
|Start/stop object allocation recording
|Clear recorded object allocations and continue recording
|Explicitly run garbage collector in the profiled application
1. Focus on key memory consumers: Rather than attempting to optimize all parts of your application at once, focus your efforts on the components or data structures that consume the most memory. These are often the areas where optimizations will have the most impact.
2. Detect anomalies: Keep an eye out for any irregular patterns or anomalies in your memory profiling data. Sudden spikes in memory usage or unexpected object retention could signal a problem that needs immediate attention.
3. Regular profiling: Make memory profiling a regular part of your development cycle.
4. Start small: Don't wait for issues to manifest in production; start memory profiling with development or staging setups.