Initializing Cloud Profiler on Google Compute Engine or Kubernetes Engine
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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.
importgooglecloudprofiler
defmain():
# 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 hereWhat's next
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