Initializing Cloud Profiler on Google Compute Engine or Kubernetes Engine

Stay organized with collections Save and categorize content based on your preferences.

Shows how to initialize Cloud Profiler with Python on Google Compute Engine or Google Kubernetes Engine.

Explore further

For detailed documentation that includes this code sample, see the following:

Code sample


For more information, see the Profiler Python API reference documentation.

import googlecloudprofiler

def main():
    # Profiler initialization. It starts a daemon thread which continuously
    # collects and uploads profiles. Best done as early as possible.
            # verbose is the logging level. 0-error, 1-warning, 2-info,
            # 3-debug. It defaults to 0 (error) if not set.
            # project_id must be set if not running on GCP.
            # project_id='my-project-id',
    except (ValueError, NotImplementedError) as exc:
        print(exc)  # Handle errors here

What's next

To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.