Documentation for automated readers
A curated documentation index is available at: https://grafana.com/llms.txt
A complete documentation index is available at: https://grafana.com/llms-full.txt
These indexes can help with page discovery before fetching individual documents.
This page is also available in Markdown, which may be easier for automated readers and AI tools to parse than HTML. The Markdown version is available at https://grafana.com/docs/grafana-cloud/monitor-applications/frontend-observability/configure.md, or by sending Accept: text/markdown to https://grafana.com/docs/grafana-cloud/monitor-applications/frontend-observability/configure/. For broader documentation discovery, the curated index is available at https://grafana.com/llms.txt and the complete index is available at https://grafana.com/llms-full.txt.
Configure Frontend Observability
After instrumenting your application, configure Frontend Observability to control what data you collect, how it’s processed, and how your application behaves.
Configuration topics
Control data collection
- Sampling - Reduce data volume by sampling telemetry
- Filter bots - Exclude automated traffic from monitoring
- Exclude endpoints - Prevent specific URLs from being tracked
Customize behavior
- Override service name - Set custom application identifiers
- Data proxy - Route telemetry through a proxy server
- Process Faro telemetry - Transform telemetry before sending
- Error fingerprinting - Control how errors are grouped and identified
Deployment and integration
- Inject instrumentation - Add monitoring via script injection
- Composable frontends - Configure micro-frontends and modular applications
- Upload source maps - Enable readable stack traces in error reports
- CSP violation tracking - Monitor Content Security Policy violations
Before you begin
Make sure you have:
- Instrumented your application with the Faro Web SDK
- Your Frontend Observability instance running and collecting data
Next steps
After configuring your instrumentation:
- Visualize and explore data to analyze user behavior and performance
- Create alerts to get notified about issues
- Integrate with other tools to correlate frontend and backend data
Was this page helpful?
Related resources from Grafana Labs


