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.

Explore further

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

• Profiling Python applications

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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