API monitoring & analytics made simple

Metrics, logs, and alerts for your serverless APIs — with just a few lines of code.

Apitally SDK for Cloudflare Python Workers

Apitally is a simple API monitoring and analytics tool that makes it easy to understand API usage, monitor performance, and troubleshoot issues. Get started in minutes by just adding a few lines of code and a Logpush job.

Learn more about Apitally on our 🌎 website or check out the 📚 documentation.

This SDK is for APIs running on Cloudflare Python Workers and relies on Logpush to send data to Apitally.

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.

Request logs

Drill down from insights to individual API requests or use powerful search and filters to find specific requests. View correlated application logs for a complete picture of each request, making troubleshooting faster and easier.

Error tracking

Understand which validation rules in your endpoints cause client errors. Capture error details and stack traces for 500 error responses.

API monitoring & alerts

Get notified immediately if something isn't right using custom alerts and synthetic uptime checks. Alert notifications can be delivered via email, Slack and Microsoft Teams.

Supported frameworks

Apitally also supports many other web frameworks in Python, JavaScript, Go, .NET and Java via our other SDKs.

Getting started

If you don't have an Apitally account yet, first sign up here.

1. Create app in Apitally

Create an app in the Apitally dashboard and select FastAPI (Cloudflare Workers) as your framework. You'll see detailed setup instructions, which also include your client ID.

2. Create Logpush job

Log in to the Cloudflare dashboard and navigate to Analytics & Logs > Logpush. Create a Logpush job with the following settings:

In the HTTP endpoint, replace {client-id} with your app's client ID and {env} with the environment (e.g. prod or dev). In the filter criteria, replace {your-worker-name} with the name of your Worker, as specified in your Wrangler config.

3. Configure Worker

Enable Workers Logs and Logpush in your wrangler.toml configuration file:

logpush = true

[observability]
enabled = true
head_sampling_rate = 1

[observability.logs]
invocation_logs = true

4. Add middleware

Install the SDK:

uv add apitally-serverless

Then add the Apitally middleware to your FastAPI application:

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,
)

For further instructions, see our setup guide for FastAPI on Cloudflare Workers.

See the SDK reference for all available configuration options, including how to mask sensitive data, customize request logging, and more.

Getting help

If you need help please create a new discussion on GitHub or email us at support@apitally.io. We'll get back to you as soon as possible.

License

This library is licensed under the terms of the MIT license.