Python 3, Django, FastAPI, Docker, Docker-Compose, NGINX, PostgreSQL, Redis, Celery, SQLAlchemy
Rename env.example to .env, rename .minio_jwt_example to .minio_jwt in the /prometheus folder, then execute make dev-run.
Prometheus is used for monitoring. During development and debugging, you can build graphs at http://localhost:9090 using PromQL. Specifically, you can check the number of files in the bucket with the expression minio_bucket_usage_object_total{bucket="movies", instance="nginx-minio-0:80"}, and the free disk space with minio_cluster_capacity_usable_free_bytes{instance="nginx-minio-0:80"}.
These data can also be obtained through the Prometheus HTTP API when requesting from the container (Minio updates data once per minute).
import requests
data = {"query": 'minio_bucket_usage_object_total{bucket="movies",instance="minio-0:9000"}'}
response = requests.get("http://prometheus:9090/api/v1/query", params=data)
print(response.json())
response = requests.post("http://prometheus:9090/api/v1/query", data=data)
print(response.json())