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KodeKloud Engineer Lab Solutions 🚀

Welcome to the KodeKloud Engineer Lab Solutions repository! This repository is dedicated to providing comprehensive solutions for various labs provided by KodeKloud, covering a range of technologies including Docker, Kubernetes, and more.

📚 Overview

KodeKloud offers an excellent platform for mastering DevOps and Cloud technologies through hands-on labs and practical exercises. This repository aims to consolidate solutions and answers for these labs, helping learners deepen their understanding and enhance their problem-solving skills.

🔍 Labs Covered


🐧 Linux Labs

Click to expand 🐧Linux Labs Tasks

🔄Git Labs

Click to expand 🔄Git Labs Tasks

🔧Ansible Labs

Click to expand 🔧Ansible Labs Tasks

🐳Docker Labs

Click to expand 🐳Docker Labs Tasks

☸ Kubernetes Labs

Click to expand ☸ Kubernetes Labs Tasks

Getting Started 🚀

To get started with this repository:

  1. Clone the Repository

    git clone https://github.com/prudvikeshav/KodekloudEngineer.git
    cd KodekloudEngineer
  2. Navigate to the Lab Folder

    • Navigate to the specific folder for the lab you are interested in, e.g., docker-labs.
  3. Review the Questions and Solutions

    • Each folder contains files that outline the lab exercise questions and their solutions.

Contributing 🤝

We welcome contributions from the community! If you would like to contribute:

  1. Fork the Repository

  2. Create a New Branch

    git checkout -b feature/your-feature-name
  3. Add Your Solutions

    • Add or update the lab solutions in the relevant folders.
  4. Commit Your Changes

    git add .
    git commit -m "Add/update solutions for [Lab Name]"
  5. Push Your Changes

    git push origin feature/your-feature-name
  6. Create a Pull Request

    • Go to the repository on GitHub and create a Pull Request with a clear description of your changes.

Guidelines 📋

  • Ensure that solutions are well-documented and easy to understand.
  • Follow the format of existing solution files for consistency.
  • Test your solutions before submitting.

License 📝

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements 🙏

Thanks to the KodeKloud team for providing such valuable hands-on labs.

Happy Learning! 🎉

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