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Microservices · MLOps

InfuraSaito

Go microservices that forecast cloud infrastructure load from live Prometheus metrics.

services behind one pipeline: Go + Pythonservices behind one pipeline

The problem

Capacity planning based on dashboards alone reacts too late. Forecasting load from the metrics already collected lets teams act before saturation.

What I built

1
Designed a Go microservices architecture around Prometheus metrics.
2
Served a Prophet forecasting model through a Python FastAPI service.
3
Containerized every service and automated tests with Docker and GitHub Actions.

Outcome

A tested, containerized forecasting service that plugs into an existing monitoring stack.

Looking for an intern with this profile?

I am available for a 6-month internship from February 2027. Write to me and I will send you my CV and answer within 48 hours.