I’d like to introduce you to Apitally, a simple API monitoring tool I’ve been solo-building over the past 9 months.

It all began with scratching my own itch as I’m technically responsible for maintaining a few API products at work. But it seems that other people find it useful too, enough even to pay money for it! (yay)

Apitally provides insights into API traffic, errors, response times and payload sizes, for the whole API and individual endpoints. It also monitors API uptime & availability, alerting users when their API is down.

The big monitoring platforms (think Datadog etc.) can be a bit overwhelming & expensive, particularly for simpler use cases. So Apitally’s key differentiators are simplicity & affordability, with the goal to make it as easy as possible for users to start monitoring their APIs.

Apitally works by integrating directly with web frameworks through middleware, which captures request & response metadata (never anything sensitive!) and asynchronously ships it to Apitally’s servers in 1 minute intervals.

The Python and Node.js client libraries currently support FastAPI, Flask, Django, Starlette, Express, Fastify, Nest.js and Koa.

On the server side Apitally leverages NATS JetStream as a message queue, ClickHouse for OLAP, is built in Python using FastAPI and runs on a Kubernetes cluster on DigitalOcean.

I’m looking forward to the direct & honest feedback this community is known for! :-)