Just a Dummy Python API created using Flask and exposing metrics

# Dummy Python API This is a dummy Python REST API that has all HTTP methods available and randomly generates error. The main propose of this application is to have some inputs for Prometheus ## Testing This repository has a script `test-api.sh` that make many requests to the API. ## Prometheus The API expose its metrics in `/metrics`. ### Relevant metrics - `request_latency_seconds_bucket`: count the number of requests answered less than the time specified by the bucket. Example: `request_latency_seconds_bucket{endpoint="/",le="0.25",method="OPTIONS"} 2.0`, it means that the application received 2 requests and their response were generated less than 0.25 second. - `request_count_total`: count the number of requests in an endpoint. Example: `request_count_total{endpoint="/",http_status="404",method="POST"} 3.0`, it means that the application received 3 requests and answered with 404 for the endpoint "/". Its expects because the application is not serving "/". - `request_latency_seconds_sum`: the sum of time waste by this endpoint and method. Example: `request_latency_seconds_sum{endpoint="/",method="DELETE"} 0.00010514259338378906`, it means that the DELETE method for the endpoint "/" is not an issue, as it was not requested too much. Considering the app is not serving "/", when running in production, the reverse proxy (like nginx) could block requests on "/", avoiding the requests to reach the application.