custom-metrics

Showcasing a bare-metal multi-platform kubeadm setup with persistent storage and monitoring

octocov is a toolkit for collecting code metrics (code coverage, code to test ratio, test execution time and your own custom metrics).

🟪 AppSignal for Elixir package

Prometheus middleware for Starlette and FastAPI

🔭 Grafana datasource plugin for Instana

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

kotlin-spring-boot-prometheus-grafana-example

GPU Auto Scaling based on Prometheus custom metric on EKS

TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable

This repo contains Druid Prometheus exporter, docs ways to scale druid on custom metrics

Doctor Droid - Python SDK for custom events

Hands-on guide to scaling Kubernetes services based on custom Prometheus metrics

Notebooks for Kaggle competition

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

Context Excavator solves a real problem: when you paste large codebases into ChatGPT, the AI gets lost in noise. You're feeding it 500 lines of code when only 20 lines actually matter. The LLM can't tell the difference, so it gives irrelevant answers. This project extracts only the code that matters, automatically..

Sample Golang app that demonstrates the use of the custom metrics feature in Application Autoscaler using mTLS authentication.

A Prometheus exporter for instrumenting Tivoli OMNibus/Netcool ObjectServer metrics from alerts.status

End-to-end Python regression pipeline for Jane Street market data forecasting with Optuna tuning, chronological cross-validation, custom weighted R2 evaluation, model comparison, plots, SHAP explainability, and Docker support.

⚔️ISIC Competition 🧪Feature Extraction and Ensemble

A reusable Laravel 10+ package that lets you annotate any service method with a PHP attribute to collect custom telemetry (e.g. user counts, disk usage, feature flags) and automatically report it—at configurable intervals—to a central server over HTTP.