# Default system monitoring and customized framework profiling for target steps or a target time range
<a name="debugger-configure-framework-profiling-range"></a>

If you want to specify target steps or target time intervals to profile your training job, you need to specify parameters for the `FrameworkProfile` class. The following code examples show how to specify the target ranges for profiling along with system monitoring.
+ **For a target step range**

  With the following example configuration, Debugger monitors the entire training job every 500 milliseconds (the default monitoring) and profiles a target step range from step 5 to step 15 (for 10 steps).

  ```
  from sagemaker.debugger import ProfilerConfig, FrameworkProfile
      
  profiler_config=ProfilerConfig(
      framework_profile_params=FrameworkProfile(start_step=5, num_steps=10)
  )
  ```

  With the following example configuration, Debugger monitors the entire training job every 1000 milliseconds and profiles a target step range from step 5 to step 15 (for 10 steps).

  ```
  from sagemaker.debugger import ProfilerConfig, FrameworkProfile
      
  profiler_config=ProfilerConfig(
      system_monitor_interval_millis=1000,
      framework_profile_params=FrameworkProfile(start_step=5, num_steps=10)
  )
  ```
+ **For a target time range**

  With the following example configuration, Debugger monitors the entire training job every 500 milliseconds (the default monitoring) and profiles a target time range from the current Unix time for 600 seconds.

  ```
  import time
  from sagemaker.debugger import ProfilerConfig, FrameworkProfile
  
  profiler_config=ProfilerConfig(
      framework_profile_params=FrameworkProfile(start_unix_time=int(time.time()), duration=600)
  )
  ```

  With the following example configuration, Debugger monitors the entire training job every 1000 milliseconds and profiles a target time range from the current Unix time for 600 seconds.

  ```
  import time
  from sagemaker.debugger import ProfilerConfig, FrameworkProfile
  
  profiler_config=ProfilerConfig(
      system_monitor_interval_millis=1000,
      framework_profile_params=FrameworkProfile(start_unix_time=int(time.time()), duration=600)
  )
  ```

  The framework profiling is performed for all of the profiling options at the target step or time range. 

  To find more information about available profiling options, see [SageMaker Debugger APIs – FrameworkProfile](https://sagemaker.readthedocs.io/en/stable/api/training/debugger.html#sagemaker.debugger.FrameworkProfile) in the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable).

  The next section shows you how to script the available profiling options.