# Kamiwaza 0.11.0 Documentation

This document provides a high-level overview of its key architectural components and the technologies that power them.

## System Architecture Diagram

The diagram below illustrates the layered architecture of the Kamiwaza platform, from the underlying infrastructure to the user-facing applications. Each layer provides a distinct set of capabilities, creating a robust and maintainable system.

### Consumes
**Built On**
**Runs On**
- Orchestration & Compute Foundation 
  - Ray Serve 
  - Docker Swarm 
  - Hardware / Cloud 
- Core Infrastructure Services 
  - Traefik Router 
  - CockroachDB 
  - etcd Cluster 
- Kamiwaza Services Layer 
  - Microservices 
  - Authentication 
  - Model Repository 
  - Model Serving 
  - Vector Databases 
  - Data Catalog 
- FastAPI Gateway

### Application Layer
This is where users and developers interact with Kamiwaza.
- **Kamiwaza Frontend**: The primary web-based user interface for managing the platform.
- **Client SDK**: A Python SDK for programmatically interacting with Kamiwaza's APIs.
- **App Garden**: A platform for discovering and deploying pre-packaged AI applications and services.

### Kamiwaza Services Layer
The core business logic of the platform, exposed via a central API gateway.
- **FastAPI Gateway**: A high-performance API gateway that coordinates all requests.
- **Microservices**: A suite of specialized services handling concerns like Authentication, Model Management, Vector DB abstraction (Milvus, Qdrant), and more.

### Core Infrastructure Services
The essential backend services that support the entire platform.
- **Traefik Router**: A powerful reverse proxy and load balancer that manages all inbound network traffic and provides SSL termination.
- **CockroachDB**: The primary database—a distributed, resilient SQL database for all application data.
- **etcd**: A distributed key-value store used for service discovery and critical configuration management across the cluster.

### Orchestration & Compute Foundation
The base layer that provides the compute resources and orchestration to run everything else.
- **Ray Serve**: A scalable model-serving framework used for deploying and managing AI models.
- **Docker Swarm**: The container orchestration engine that manages the lifecycle of all containerized services.
- **Hardware / Cloud**: The physical servers or cloud instances (e.g., AWS, GCP, Azure) that provide the underlying CPU and GPU resources.

## Technology Stack

| Category   | Technologies                                                  |
|------------|--------------------------------------------------------------|
| **Backend**| Python 3.10, FastAPI, Ray, SQLAlchemy, Pydantic              |
| **Frontend**| React 18, Material-UI, Tailwind CSS, Axios                  |
| **Databases**| CockroachDB, Milvus, Qdrant, etcd                          |
| **Infrastructure**| Docker Swarm, Traefik, DataHub                          |