⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.

Kubernetes Control Plane Virtual IP and Load-Balancer

AWS EKS Kubernetes - Masterclass | DevOps, Microservices

A cloud native Kubernetes Global Balancer

Kubernetes Fundamentals

Implementation of kubernetes service load-balancer spec for loxilb

Tenama provides a simple REST API that allows non-cluster administrators in a shared Kubernetes environment to create temporary namespaces. tenama handles the creation, management, and cleanup of the temporary namespaces.

Kubernetes installation and basic notes on how to start with kubernetes

AWS EKS Kubernetes - Masterclass | DevOps, Microservices

Lightweight docker image with bare minimum network tools installed

KodeKloud Engineer Kubernetes Course Solutions

Distributed Systems Assignments

Demonstration of Kubernetes service types (ClusterIP, NodePort, LoadBalancer, ExternalName) using Helm charts. Ready-to-use examples for learning and testing.

This project demonstrates an automated CI/CD pipeline for deploying and testing a 5G Core network. It integrates Open5GS for the core network, UERANSIM for UE simulation, Docker for containerization, Kubernetes for orchestration, and GitHub Actions for automation.

Skill assessment project demonstrating Docker and Kubernetes: - Dockerfile & Docker images - Kubernetes deployments, services, and ingress - Ingress-NGINX setup

🍥 A compact collection of Kubernetes YAMLs and best practices — perfect for experimenting locally 🚀 Intended to help you learn core concepts like Deployments, Services, and ConfigMaps in just a few files 📚 Dive in, tinker with real examples, and level up your K8S skills one snippet at a time!

Kubernetes-Inception is a 42 school project focused on learning and applying Kubernetes concepts. It involves building and managing a Kubernetes cluster, deploying containerized applications, and gaining hands-on experience with Pods, Deployments, Services, ConfigMaps, and Secrets.

This project involved the integration of several cutting-edge technologies to ensure efficient micro service architecture with Python Web, Redis, .NET, PostgreSQL, NodeJS.

A Steadybit discovery and action implementation to inject faults into various Azure services.

Kubernetes Fundamentals