FastAPI-native instrumentation
Add customer-aware request monitoring through an integration designed for FastAPI applications.
FastAPI API monitoring
Connect FastAPI telemetry to customer impact.
See which customer accounts experience exceptions, slow endpoints or release regressions with privacy-safe, FastAPI-native instrumentation.
FastAPI integrationAsync-friendlyCustomer contextNo payload capture
Customer-aware observability
FastAPI monitoring that answers who is affected.
Keep the technical depth of your Python observability stack and add the account-level context needed to prioritize incidents and communicate clearly.
Customer impact for exceptions
See the accounts and integrations behind failed requests instead of investigating errors in isolation.
Endpoint latency by account
Understand whether slow behavior is global or concentrated in a particular customer integration.
Release regression signals
Compare application behavior across releases and identify affected endpoints and customers.
Version adoption
Measure API-version traffic and find the customers that still depend on legacy contracts.
Bounded metadata
Keep Pydantic models and request payloads out of monitoring while retaining useful operational context.
Setup
From requests to customer impact.
Keep your current logging and tracing stack. Add the customer context that generic infrastructure monitoring cannot provide.
- 1
Install the FastAPI package
Add the integration from PyPI to the environment that serves your API.
- 2
Configure customer resolution
Resolve the authenticated account and application from your existing dependency or middleware context.
- 3
Verify an instrumented endpoint
Send a request and inspect customer-level activity, reliability and latency in Apirelio.
Questions
Frequently asked questions.
How do I add customer-level monitoring to FastAPI?+
Install apirelio-fastapi, configure the project ingestion key and provide customer context from your authentication or dependency layer. The integration records bounded operational metadata for each request.
Does Apirelio store Pydantic request models?+
No. Request bodies and response bodies are not captured. Your application explicitly provides only the customer and application identifiers needed to connect operational signals to impact.
Can it monitor asynchronous FastAPI endpoints?+
The FastAPI integration is designed for the framework request lifecycle, including APIs implemented with asynchronous route handlers.
Does this replace Sentry or OpenTelemetry?+
No. Those tools are useful for debugging code and infrastructure. Apirelio adds a customer and integration impact layer that complements them.
Start with the requests you already serve
Know who is affected before the support ticket arrives.
Connect API reliability to customer impact with a privacy-safe event model and framework-native setup.