Sentry for Python on Google Cloud Functions
Using Sentry with Google Cloud Functions and Python makes debugging as painless as possible, so you can keep everything up and running.
Getting Started is Simple
Add the Sentry SDK to your requirements.txt:
pip install sentry-sdk
Then use the GCP Functions integration for the Python SDK like this:
import sentry_sdk from sentry_sdk.integrations.gcp import GcpIntegration sentry_sdk.init( dsn="https://<key>@sentry.io/<project>", integrations=[GcpIntegration()], traces_sample_rate=1.0, # adjust the sample rate in production as needed ) def http_function_entrypoint(request): # ...
Check our documentation for the latest instructions.
See all platformsMore than 130K Organizations Trust Sentry with Their Application Monitoring
Code-Level Visibility
View stack traces on issues, user-agent information, and all the metadata around an issue for all the context needed to resolve the issue.
Quickly Identify Function Latencies
Trace those ten-second page loads to poor-performing API calls and slow database queries. The event detail waterfall visually highlights what calls are giving your customers a poor experience.
Fill in the Gaps
See what happened leading up to the issue. Get function execution details including function metadata, execution time, Amazon Resource Name, and function identity.