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Version: 0.5.0 (Latest)

Platform Architecture Overview

Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. 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.

Architecture Layers​

🌐 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.

πŸ› οΈ 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 databaseβ€”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.

πŸ”§ 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​

CategoryTechnologies
BackendPython 3.10, FastAPI, Ray, SQLAlchemy, Pydantic
FrontendReact 18, Material-UI, Tailwind CSS, Axios
DatabasesCockroachDB, Milvus, Qdrant, etcd
InfrastructureDocker Swarm, Traefik, DataHub, JupyterHub