Tech Contents

A curated collection of technical content, resources, and documentation for software development and technology topics.

Overview

This repository serves as a knowledge base for various technical subjects, including but not limited to:

• Programming languages and frameworks (Golang, Python, Rust, etc.)
• System design and architecture (backend, infra, Kafka, etc.)
• DevOps and infrastructure (Kubernetes, Helm, Terraform, etc.)
• Cloud computing (AWS, etc.)
• Data science and machine learning
• Linux and operating systems
• Security and best practices
• Technical books and learning resources
• Backend development resources

Structure

The repository is organized into the following sections:

tech-contents/
├── Books/                      # Technical books and learning resources
│   ├── Database Internals/
│   ├── Designing Data Intensive Applications/
│   ├── Prometheus Up and Running/
│   └── The Linux Command Line/
├── backend/                    # Backend development resources and guides
│   ├── blogs.md
│   ├── golang-based-db.md
│   ├── videos.md
│   └── courses/
│       ├── fundamentals of backend engineering/
│       ├── fundamentals of Operating Systems/
│       └── Introduction to NGINX/
├── programming/                # Programming languages, frameworks, and libraries
│   ├── golang/
│   │   ├── blogs.md
│   │   ├── videos.md
│   │   └── courses/
│   │       ├── Concurrency Deep Dive/
│   │       ├── Master Go/
│   │       └── The Ultimate Guide to Debugging in Go/
│   ├── python/
│   │   └── videos.md
│   └── rust/
│       └── Videos.md
├── system-design/              # System design concepts and examples
│   ├── backend/
│   │   ├── blogs.md
│   │   ├── hash-table-internals.md
│   │   ├── podcasts.md
│   │   └── videos.md
│   ├── infra/
│   │   ├── blogs.md
│   │   └── videos.md
│   └── kafka/
│       ├── kafka.md
│       └── notes.md
├── devops/                     # DevOps tools and practices
│   ├── helm/
│   │   └── blogs.md
│   ├── kubernetes/
│   │   ├── blogs.md
│   │   ├── kubecon.md
│   │   ├── videos.md
│   │   ├── CKS/
│   │   │   ├── cluster-create.md
│   │   │   ├── notes.md
│   │   │   ├── resources.md
│   │   │   └── networkpolicy.md
│   │   └── courses/
│   │       └── Introduction to AI/
│   └── terraform/
│       └── tutorials.md
├── cloud/                      # Cloud platforms and services
│   ├── blogs.md
│   └── courses/
├── linux/                      # Linux resources and tutorials
│   ├── blogs.md
│   ├── courses.md
│   └── resources.md
├── data-science/               # Data science and machine learning resources
│   ├── blogs.md
│   └── videos.md
└── content/                    # General technical content and resources
    ├── career planning/
    │   ├── articles.md
    │   └── videos.md
    ├── js resources/
    │   └── js-basics.md
    └── security/
        └── docker-scout-vs-trivy.md

Contributing

Contributions are welcome! If you'd like to add content or make improvements:

1. Fork the repository
2. Create a new branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a Pull Request

Usage

Feel free to browse the repository for information on specific topics. Each directory contains markdown files and code examples related to its subject area.

License

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

Contact

If you have any questions or suggestions, please open an issue in this repository.