https://github.com/nirmalnaveen20/devops-with-kubernetes-hy

Exercises files for the DevOps with Kubernetes course provided by University of Helsinki
https://github.com/nirmalnaveen20/devops-with-kubernetes-hy

docker kubernetes projects python

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Exercises files for the DevOps with Kubernetes course provided by University of Helsinki

• Host: GitHub
• URL: https://github.com/nirmalnaveen20/devops-with-kubernetes-hy
• Owner: NirmalNaveen20
• Created: 2025-01-01T19:42:58.000Z (26 days ago)
• Default Branch: main
• Last Pushed: 2025-01-02T12:20:19.000Z (25 days ago)
• Last Synced: 2025-01-02T12:35:57.680Z (25 days ago)
• Topics: docker, kubernetes, projects, python
• Language: HTML
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DevOps with Kubernetes

This repository contains exercises and projects for the **DevOps with Kubernetes** MOOC course provided by University of Helsinki.

## About the Course

The **DevOps with Kubernetes** course offers a deep dive into Kubernetes, container orchestration, and DevOps best practices. Through hands-on exercises, students learn how to deploy, manage, and scale applications using Kubernetes.

### Course Website

For detailed course content, visit:  

[https://devopswithkubernetes.com/](https://devopswithkubernetes.com/)

## Repository Overview

This repository serves as a workspace for completing exercises throughout the course. It contains:

- Application code

- Dockerfiles

- Kubernetes deployment configurations

- Scripts for building, pushing, and deploying applications

## Getting Started

1. **Clone the Repository:**

   ```bash

   git clone 

   cd 

   ```

2. **Follow Exercise Instructions:**

   Each exercise has its own directory with specific instructions and required files.

3. **Deploy to Kubernetes:**

   Use the deployment configurations provided in each exercise directory to deploy the applications to your Kubernetes cluster.

4. **Monitor and Troubleshoot:**

   After deployment, use `kubectl` to manage and troubleshoot running pods and services.

## Prerequisites

- Docker installed and running

- Kubernetes cluster (Docker Desktop or Minikube)

- kubectl installed and configured