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* added initial deployment files

* new naming of deployment files

* split deployment into separate files

* added code for deployment usage

* draft for root and essentials

* added exemplary acknowledgements

* added rough overview over modules

* added infrastructure essentials text and code

* fix comma

* overview graph to new structure and descriptions

* added airflow and jupyterhub modules

* added initial deployment files

* new naming of deployment files

* split deployment into separate files

* added code for deployment usage

* draft for root and essentials

* added rough overview over modules

* added infrastructure essentials text and code

* fix comma

* overview graph to new structure and descriptions

* added airflow and jupyterhub modules

* removing old files

* removed redundant 1.5 section

* delete redundant 1.4 section

* restructured toc

* rephrased book overview

* Create LICENSE

* added readme and contributing

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15 changes: 15 additions & 0 deletions CONTRIBUTING.md
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# Contributing

I enthusiastically welcome any contributions. Whether it's spotting a typo, suggesting better sentence formulations, or proposing stylistic improvements, the initial step involves forking the repository. After making your changes, you can create a pull request.

If you're interested in making a more substantial contribution, such as writing a chapter or providing examples, I'd be thrilled! Please open an issue on GitHub, and we can discuss your ideas further.

Fork the repository and submit a pull request (PR) to propose your changes. You may use "[WIP]" in the PR title if you're still working on it.

## Formatting Guidelines

+ Please write in clear and concise language to make the content easily understandable.
+ Use proper headings, subheadings, and bullet points to structure the text.
+ Code examples should be well-formatted and properly documented.
+ For adding images or diagrams, make sure they are clear and relevant to the topic.

201 changes: 201 additions & 0 deletions LICENSE
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Apache License
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http://www.apache.org/licenses/

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Copyright [2023] [Sebastian Blum]

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81 changes: 64 additions & 17 deletions README.md
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Welcome!
# MLOps Engineering Book

This is a minimal example of a book based on R Markdown and **bookdown** (https://github.com/rstudio/bookdown).
![MLOps Engineering Book](https://raw.githubusercontent.com/seblum/mlops-engineering-book/main/images/mlops_book.jpg)

This template provides a skeleton file structure that you can edit to create your book.
Welcome to the MLOps Engineering Book repository! This project hosts the source code and content for the MLOps Engineering Book, an online resource dedicated to MLOps practices, methodologies, and tools for efficiently deploying, managing, and scaling machine learning models.

The contents inside the .Rmd files provide some pointers to help you get started, but feel free to also delete the content in each file and start fresh.
## Introduction

Additional resources:
MLOps, short for "Machine Learning Operations," is the practice of integrating machine learning models into the software development and deployment processes. This book aims to provide readers with a comprehensive guide to MLOps principles, best practices, and technologies that help streamline the lifecycle of machine learning projects.

The **bookdown** book: https://bookdown.org/yihui/bookdown/
The book covers a wide range of topics, including:

The **bookdown** package reference site: https://pkgs.rstudio.com/bookdown
- Setting up a MLOps infrastructure and an ML platform
- Data management and versioning for ML projects
- Model training and evaluation
- Model deployment and monitoring
- Continuous Integration/Continuous Deployment (CI/CD) pipelines for ML
- Kubernetes and containerization for ML
- And much more!

Whether you are a data scientist, machine learning engineer, or software developer, this book is designed to equip you with the knowledge and tools needed to implement MLOps effectively.

## Table of Contents:
## Getting Started

1. Introduction
2. MLOps
3. Airflow
4. MLflow
5. Terraform
6. Kuberenetes
7. Example
7. Infrastructure
8. Modeling
To get started with the MLOps Engineering Book, you have two options:

1. **Read Online:** You can access the book online at [https://seblum.github.io/mlops-engineering-book/](https://seblum.github.io/mlops-engineering-book/). The website provides a user-friendly interface for easy navigation through chapters and sections.

2. **Build Locally:** If you prefer to read the book on your local machine or contribute to its development, you can build it using the [Bookdown](https://bookdown.org/) framework.

Here are the steps to build the book locally:

1. Clone this repository to your local machine:

```bash
git clone https://github.com/seblum/mlops-engineering-book.git
```

2. Install the required dependencies:

```bash
# Assuming you have R and RStudio installed
# Install the required R packages using RStudio or the following command:
Rscript -e "install.packages(c('bookdown', 'rmarkdown'))"
```

3. Navigate to the `book` directory:

```bash
cd mlops-engineering-book/manuscript
```

4. Build the book using Bookdown:

```bash
# For HTML output
Rscript -e "bookdown::render_book('index.Rmd', 'bookdown::gitbook')"
# For PDF output (requires LaTeX)
Rscript -e "bookdown::render_book('index.Rmd', 'bookdown::pdf_book')"
```

5. Once the build process is complete, you can find the output files in the `_book` directory.

## Contributing

We welcome contributions to the MLOps Engineering Book! If you would like to improve existing content, fix errors, or add new chapters, feel free to open issues and submit pull requests. Please ensure that your contributions align with the book's theme and follow the [contribution guidelines](CONTRIBUTING.md).
## License
This repository is licensed under the Apache License, Version 2.0. The Apache License is an open-source license that allows users to freely use, modify, distribute, and sublicense the code.
Please refer to the [LICENSE](LICENSE) file in this repository for the full text of the Apache License, Version 2.0. By using, contributing, or distributing this repository, you agree to be bound by the terms and conditions of the Apache License.
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