FastAPI Monitoring with TraceKit
FastAPI is built for speed -- but async dependency injection chains are invisible by default, Pydantic serialization costs hide in every response, and BackgroundTasks lose trace context entirely. TraceKit makes every async hop visible.
FastAPI observability challenges
Common problems that FastAPI developers face in production -- and how TraceKit solves them.
Async Dependency Injection Tracing
FastAPI's Depends() system is powerful but opaque. A single endpoint can trigger a tree of async dependencies -- auth, database sessions, feature flags -- and you cannot see which dependency is slow or failing. TraceKit traces every Depends() resolution so the full injection chain appears in your trace.
Pydantic Validation Overhead
Every FastAPI request and response passes through Pydantic serialization. With nested models and large payloads, validation and serialization can consume significant time that is invisible in standard profiling. TraceKit measures Pydantic processing time per endpoint so you can spot serialization bottlenecks.
Background Task Context Loss
FastAPI's BackgroundTasks run after the response is sent, but they lose the original request's trace context. A task that writes to a database or calls an external API appears as an orphan trace. TraceKit propagates context into background tasks so they stay connected to the originating request.
Get started in minutes
Add OpenTelemetry instrumentation to your FastAPI app with a few lines of code.
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from fastapi import FastAPI
app = FastAPI()
FastAPIInstrumentor.instrument_app(app)
@app.get("/items/{item_id}")
async def read_item(item_id: int):
return {"item_id": item_id}Python Distributed Tracing Guide
Go deeper with our Python distributed tracing guide -- covering common pain points, production patterns, and code examples.
What you get with TraceKit
Distributed Tracing
Trace requests across FastAPI endpoints, async dependencies, Pydantic validation, and background tasks. See the full async request lifecycle from ingress to response.
Live Code Monitoring
Set breakpoints in your FastAPI route handlers and dependency functions. Inspect Pydantic models, request state, and async context in production without redeploying.
Simple Pricing
$29/month flat for your entire FastAPI application. No per-worker fees for Uvicorn, no per-request charges -- one price for full async observability.
Related Resources
Learn distributed tracing patterns and best practices for Python
AWS-native distributed tracing for Lambda, ECS, and EKS. See how TraceKit extends beyond cloud-specific tracing.
Calculate SLA uptime and error budgets for your services
Step-by-step APM implementation checklist covering SDK installation, instrumentation, alerting, and production rollout with OpenTelemetry best practices.
Step-by-step guide to migrate from Datadog to TraceKit. Replace dd-trace with TraceKit SDK, map environment variables, and verify traces in minutes.
Ready to add observability to FastAPI?
Get started with TraceKit in under 5 minutes. $29/month flat -- no per-host fees, no surprises.