Initializing Cloud Profiler on Google Compute Engine or Kubernetes Engine

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

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

Code sample

Python

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

To authenticate to Profiler, set up Application Default Credentials. For more information, see Set up authentication for a local development environment. 

import googlecloudprofiler


def main():
    # Profiler initialization. It starts a daemon thread which continuously
    # collects and uploads profiles. Best done as early as possible.
    try:
        googlecloudprofiler.start(
            service="hello-profiler",
            service_version="1.0.1",
            # verbose is the logging level. 0-error, 1-warning, 2-info,
            # 3-debug. It defaults to 0 (error) if not set.
            verbose=3,
            # 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

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