Simple API monitoring & analytics for REST APIs running on serverless platforms (e.g. Cloudflare Workers).
Project description
API monitoring & analytics made simple
Real-time metrics, request logs, and alerts for your APIs — with just a few lines of code.
Apitally SDK for serverless Python runtimes
This SDK for Apitally currently supports the following web frameworks:
The following serverless platforms are supported:
- Cloudflare Workers (via Logpush)
Learn more about Apitally on our 🌎 website or check out the 📚 documentation.
Key features
API analytics
Track traffic, error and performance metrics for your API, each endpoint and individual API consumers, allowing you to make informed, data-driven engineering and product decisions.
Error tracking
Understand which validation rules in your endpoints cause client errors. Capture error details and stack traces for 500 error responses, and have them linked to Sentry issues automatically.
Request logging
Drill down from insights to individual requests or use powerful filtering to understand how consumers have interacted with your API. Configure exactly what is included in the logs to meet your requirements.
API monitoring & alerting
Get notified immediately if something isn't right using custom alerts, synthetic uptime checks and heartbeat monitoring. Notifications can be delivered via email, Slack or Microsoft Teams.
Installation
Use uv to add this SDK to your project's dependencies:
uv add apitally-serverless
Usage
Our comprehensive setup guides include all the details you need to get started.
FastAPI
This is an example of how to add the Apitally middleware to a FastAPI application running on a supported serverless platform. For further instructions, see our setup guide for FastAPI.
from fastapi import FastAPI
from apitally_serverless.fastapi import ApitallyMiddleware
app = FastAPI()
app.add_middleware(
ApitallyMiddleware,
log_request_headers=True,
log_request_body=True,
log_response_body=True,
)
Getting help
If you need help please create a new discussion on GitHub or join our Slack workspace.
License
This library is licensed under the terms of the MIT license.
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