A Prometheus middleware and metrics endpoint for Starlette applications.
Starlette Prometheus is a Python library that integrates Prometheus monitoring into Starlette web applications. It provides middleware to automatically collect HTTP metrics and exposes them via a standard `/metrics` endpoint for Prometheus scraping. This solves the problem of monitoring the performance and health of asynchronous web services built with Starlette.
Developers building web applications with Starlette who need to monitor their services in production environments, particularly those using Prometheus for observability.
It offers a simple, lightweight way to add comprehensive monitoring to Starlette apps without significant overhead, with features like optional path filtering to manage memory usage effectively.
Prometheus integration for Starlette.
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Setup is minimal, requiring only the addition of middleware and a route, as demonstrated in the README example with just a few lines of code.
Collects essential performance data like response times and request counts automatically, eliminating the need for manual instrumentation in Starlette apps.
Offers optional path filtering to prevent unbounded memory use by ignoring unhandled routes, a critical safeguard mentioned in the README for production environments.
Follows an unobtrusive philosophy, integrating monitoring without complicating the Starlette application structure, as stated in the project description.
Only provides basic HTTP metrics out of the box; custom or application-specific metrics require additional work with the Prometheus client, which isn't covered in the documentation.
The README admits that without enabling path filtering, it can lead to unbounded memory use, posing a potential pitfall for developers who overlook this setting.
Tightly coupled with Starlette, making it unsuitable for other ASGI frameworks or synchronous web frameworks without significant modifications or alternative libraries.