Technology Documentation Hub

A reference library for DevOps, cloud, data, and modern software infrastructure

This is a practical, reference-oriented knowledge base spanning the full software delivery stack — from the network packets and database rows beneath an application, through the version control and CI/CD that ship it, up to the containers, orchestration, and cloud platforms that run it in production. Pages favor concrete commands, comparison tables, and decision guidance over tutorials: the full stack in one place, command-first examples and cheat sheets, and decision guidance on when to use X vs Y.

Browse by Area

Infrastructure & DevOps

Topic Covers
Docker Containerization fundamentals, Dockerfiles, storage, and security. Start here for images and containers.
Docker Essentials A daily-driver command cheat sheet — run, build, compose, network, and clean up.
Kubernetes Container orchestration at scale: pods, deployments, services, and production patterns.
Terraform Infrastructure as Code for multi-cloud provisioning, state, and modules.
AWS Core cloud services — compute, storage, databases, and networking on Amazon Web Services.
CI/CD Pipelines from code to production: testing strategies, deployment patterns, and GitOps.

Development & Tools

Topic Covers
Git Crash Course Zero-to-productive in version control. The fastest on-ramp if you are new to Git.
Git Version Control Architecture and internals: the object model, the DAG, and how Git actually works.
Git Command Reference The lookup cheat sheet — every common command with syntax and examples.
Branching Strategies Git Flow vs GitHub Flow vs trunk-based development, with a decision matrix.
Please Build A high-performance, Bazel-style build system for polyglot monorepos.
Unreal Engine UE5 real-time 3D: Nanite, Lumen, and Blueprints for games and beyond.

Data

Topic Covers
Database Crash Course Core concepts and SQL basics — the quick on-ramp to working with databases.
Database Design Deep dive: normalization, indexing, query execution, distributed databases, and NoSQL.
Networking TCP/IP, routing, congestion control, and modern network architecture.

Security

Topic Covers
Cybersecurity Cryptography, web/cloud security, attack techniques, and incident response.

Advanced & Emerging

Topic Covers
AI Fundamentals Comprehensive technical overview of modern AI and large language models.
Quantum Computing Quantum algorithms, the NISQ era, and quantum programming platforms.

Note on layout: The platform topics — Docker, Kubernetes, AWS, and Terraform — are multi-page sections living in their own subdirectories (e.g. docker/, kubernetes/). Their links above point to each section’s landing page. Everything else is a single reference page (.html).

How These Topics Connect

A typical web application sits on top of the foundations and is delivered by the tooling and infrastructure layers below:

flowchart TD
    subgraph Foundations
        NET[Networking]
        DB[Databases]
        SEC[Cybersecurity]
    end
    subgraph Tooling
        GIT[Git]
        CI[CI/CD]
        BUILD[Please Build]
    end
    subgraph Infrastructure
        DOCKER[Docker]
        K8S[Kubernetes]
        TF[Terraform]
        AWS[AWS]
    end
    APP([Application])
    NET --> APP
    DB --> APP
    GIT --> CI
    BUILD --> CI
    CI --> DOCKER
    DOCKER --> K8S
    TF --> AWS
    K8S --> AWS
    APP --> DOCKER
    SEC -.guards.-> APP
    SEC -.guards.-> K8S
    SEC -.guards.-> NET

Each layer builds on the ones beneath it: code lives in Git, is built and tested by CI/CD, packaged into Docker images, orchestrated by Kubernetes, and runs on infrastructure provisioned with Terraform on a cloud like AWS — all underpinned by networking, databases, and security.

Suggested Learning Paths

This documentation combines reference depth with practical examples. For corrections or suggestions, visit the GitHub repository.