Running Django in production without error monitoring is like driving without a dashboard. You need visibility into what's failing and why.
Getting Started
Setting up error monitoring in your Django project with Bugsly is straightforward. The entire process takes just a few minutes, and you'll immediately start seeing events in your dashboard.
Installation
pip install bugsly-sdkConfiguration
# settings.py
import bugsly_sdk
bugsly_sdk.init(
dsn="YOUR_BUGSLY_DSN",
traces_sample_rate=1.0,
integrations=[DjangoIntegration()],
send_default_pii=True,
)Verification
After adding the SDK, trigger a test error to confirm everything works. Check your Bugsly dashboard — the event should appear within seconds, complete with stack trace and context data.
Best Practices for Django Error Monitoring
Group by fingerprint. Bugsly automatically groups similar errors, but you can customize fingerprinting for Django-specific patterns like route-based grouping or middleware errors.
Filter noise early. Use beforeSend to drop expected errors — like 404s from bots or network errors from flaky connections — before they consume your event quota.
Track releases consistently. Bugsly correlates errors with specific releases, so always set the release version. This makes it trivial to identify which deploy introduced a regression.
Monitor performance alongside errors. With tracesSampleRate enabled, Bugsly captures transaction data too, connecting slow endpoints with their associated errors for a complete picture of your Django application's health.
Next Steps
Once error monitoring is live, set up issue ownership rules to automatically assign errors to the right team. Configure integration with your project management tool to create tickets from Bugsly issues. Enable weekly reports to track your team's progress on reducing error rates across releases.
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