Interactive AI-driven game to learn Docker, Linux, networking & Kubernetes. Open in Claude Code or Cursor, type 'let's play'.

Simple and Fun Learn English App using Microservices driven by Spring Cloud and Devops (Docker, K8S)

Docker 与 Kubernetes 学习笔记

Learn Devops by practical projects . Includes all tech stacks including k8s, ansible , docker , python and more

to learn docker and k8s

Contains code to deploy PODs, Services and Deployments using kubernetes and docker.

Use js to learn docker and k8s

Learn Docker and K8s

Learn docker and k8s

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Teaching myself Docker and Kubernetes

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Docker and k8's

This repository contains the sample code used while learning the docker and k8s concept, sample mini project using docker and k8s to integrate CI/CD

simple project to learn docker and k8s

Learn DevOps with docker and k8s etc.

Learn microservice along with Docker and K8s

Code written to learn Docker and K8s course

Following a Udemy course to learn Docker and k8s

learn full stack go w/ docker, k8s and self hosting

This repository to learn Microservices with Mono-repo and deployment with docker and k8s.

This repository is for local consumption. To learn docker, CI-CD and K8s

Let's learn more about microservice architecture including docker, k8s, rabbitmq and grpc

An application to learn docker, K8s, deployments, CI/CD pipeline and Github actions

Lets work with microservices architecture and learn to build, develop and deploy using docker, k8s and gcp..

Learn about installing Jenkins, configure Docker as agent, set up ci/cd, deploy applications to k8s and much more.

Diabetes Prediction MLOps Project (FastAPI + Docker + K8s) – Learn to build and deploy an ML model predicting diabetes based on health metrics (Pregnancies, Glucose, Blood Pressure, BMI, Age) using a Random Forest Classifier on the Pima Indians dataset. Covers model training, FastAPI API, Docker, and Kubernetes deployment.

AI-powered log aggregator with real-time anomaly detection using IsolationForest. Features async processing, smart alerting, Prometheus metrics, and FastAPI endpoints. Self-hosted alternative to expensive SaaS logging solutions. Includes Docker/K8s deployment configs. Built with Python, scikit-learn, FastAPI, and SQLite.

This project, ML-K8s-Fastapi, is a machine learning API for Iris flower classification. It's built using Scikit-learn for the ML model and FastAPI to create the API. The application is Dockerized, making it ready for deployment, particularly to Kubernetes. It provides a /predict endpoint to classify Iris flowers based on their sepal and petal