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container-orchestration

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A production-ready monitoring system that demonstrates real-world container orchestration with Kubernetes. The system monitors multiple NGINX web servers, tracks their health, validates timezone synchronization, and provides real-time monitoring dashboards.

  • Updated Sep 18, 2025
  • Python

ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, Sklearn data preprocessing, and Tensorflow active‐learning workflows 🪐

  • Updated Dec 1, 2025
  • Python

Experimental pipeline for a simulation-based comparison of ML-driven auto-scaling policies (LSTM and Random Forest) against Kubernetes HPA, using the Alibaba Cluster Trace 2018 dataset. Published at UTP Student and Doctoral Scientific Session 2026.

  • Updated Jun 6, 2026
  • Python

This repository demonstrates how to install and run Minikube inside a GitHub Actions workflow. It sets up a local Kubernetes cluster in a CI/CD environment using the Docker driver. Ideal for testing Kubernetes manifests, Helm charts, and automation tasks directly in your pipeline.

  • Updated Jun 17, 2025
  • Python

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