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Skyflow Platform Architecture Overview

This document provides a high-level overview of the Skyflow platform architecture.

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Table of Contents

• Introduction
• System Architecture
• Service Diagram
• Technology Stack
• Key Components
• Data Flow

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Introduction

Skyflow is a modern platform built with scalability, reliability, and developer experience in mind. The architecture follows microservices principles with clear service boundaries and well-defined APIs.

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System Architecture

The platform is organized into the following layers:

• Presentation Layer: Web and mobile clients
• API Gateway: Request routing, authentication, rate limiting
• Service Layer: Business logic microservices
• Data Layer: Databases, caches, and message queues
• Infrastructure Layer: Kubernetes, monitoring, logging

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Service Diagram

Figure 1 — Skyflow Service Topology. Clients connect through the API Gateway, which handles auth and rate limiting. Business-logic services interact with PostgreSQL, Redis, and Kafka. Kubernetes orchestrates all services while Prometheus and Grafana provide observability.

Trace ID	Requirement	Rationale	Test Case
SKY-ARCH-001	All client traffic shall pass through the API Gateway for authentication and rate limiting	Prevents unauthenticated or excessive access to backend services	TC-SKY-ARCH-001
SKY-ARCH-002	Event-driven communication between services shall use Kafka with durable topics	Decouples producers from consumers and enables replay for recovery	TC-SKY-ARCH-002
SKY-ARCH-003	All services shall expose Prometheus metrics on a standard /metrics endpoint	Enables unified monitoring and alerting across the platform	TC-SKY-ARCH-003

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Technology Stack

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Backend

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Frontend

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Infrastructure

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Development

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Key Components

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API Gateway

The API Gateway handles all incoming requests and provides:

• Authentication and authorization
• Rate limiting and throttling
• Request routing to backend services
• Response caching
• Request/response transformation

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Core Service

The central business logic service responsible for:

• Primary business operations
• Coordination between services
• Transaction management

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User Service

Manages user-related functionality:

• User registration and profiles
• Authentication tokens
• User preferences

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Vault Service

Handles sensitive data:

• Encryption and decryption
• Key management
• Secure data storage

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Notification Service

Handles all notifications:

• Email notifications
• Push notifications
• Webhook delivery

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Data Flow

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Request Flow

1. Client sends request to API Gateway
2. Gateway authenticates the request
3. Gateway routes to appropriate service
4. Service processes business logic
5. Service interacts with data layer
6. Response flows back through Gateway
7. Client receives response

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Event Flow

1. Service generates event
2. Event published to Kafka
3. Consuming services process event
4. Side effects executed (notifications, updates)

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Related Documentation

• ADRs - Architecture Decision Records
• API Documentation - API specifications
• Runbooks - Operational procedures