# Turn off Debugger
<a name="debugger-turn-off"></a>

**Note**  
Amazon SageMaker Debugger is no longer open to new customers. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Debugger, but we do not plan to introduce new features. For more information, see [Debugger availability change](debugger-availability-change.md). 

If you want to completely turn off Debugger, do one of the following:
+ Before starting a training job, do the following:

  To stop both monitoring and profiling, include the `disable_profiler` parameter to your estimator and set it to `True`.
**Warning**  
If you disable it, you won't be able to view the comprehensive Studio Debugger insights dashboard and the autogenerated profiling report.

  To stop debugging, set the `debugger_hook_config` parameter to `False`.
**Warning**  
If you disable it, you won't be able to collect output tensors and cannot debug your model parameters.

  ```
  estimator=Estimator(
      ...
      disable_profiler=True
      debugger_hook_config=False
  )
  ```

  For more information about the Debugger-specific parameters, see [SageMaker AI Estimator](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_train.html) in the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable).
+ While a training job is running, do the following:

  To disable both monitoring and profiling while your training job is running, use the following estimator classmethod:

  ```
  estimator.disable_profiling()
  ```

  To disable framework profiling only and keep system monitoring, use the `update_profiler` method:

  ```
  estimator.update_profiler(disable_framework_metrics=true)
  ```

  For more information about the estimator extension methods, see the [estimator.disable\_profiling](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_train.html) and [estimator.update\_profiler](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_train.html) classmethods in the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable) documentation.