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docs/API_GATEWAY_DESIGN.md
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Unified API Gateway Design

Date: 2025-01-27 Purpose: Design document for unified API gateway Status: Design Document


Executive Summary

This document outlines the design for a unified API gateway that will serve as a single entry point for all workspace projects, providing centralized authentication, rate limiting, and API versioning.


Architecture Overview

Components

  1. API Gateway (Kong, Traefik, or custom)
  2. Authentication Service (Keycloak, Auth0, or custom)
  3. Rate Limiting Service (Redis-based)
  4. API Versioning (Path-based or header-based)
  5. Monitoring & Logging (Prometheus, Grafana, Loki)

Architecture Diagram

Client
  ↓
API Gateway (Kong/Traefik)
  ├── Authentication Layer
  ├── Rate Limiting
  ├── Request Routing
  └── Response Aggregation
  ↓
Backend Services
  ├── dbis_core
  ├── the_order
  ├── Sankofa
  └── Other services

Features

1. Authentication & Authorization

Methods:

  • JWT tokens
  • API keys
  • OAuth2/OIDC
  • mTLS (for service-to-service)

Implementation:

  • Centralized authentication service
  • Token validation
  • Role-based access control (RBAC)
  • Permission checking

2. Rate Limiting

Strategies:

  • Per-user rate limits
  • Per-API rate limits
  • Per-IP rate limits
  • Tiered rate limits (free, paid, enterprise)

Storage: Redis for distributed rate limiting

3. API Versioning

Strategy: Path-based versioning

  • /v1/api/...
  • /v2/api/...

Alternative: Header-based (Accept: application/vnd.api+json;version=2)

4. Request Routing

Features:

  • Path-based routing
  • Header-based routing
  • Load balancing
  • Health checks
  • Circuit breakers

5. Monitoring & Observability

Metrics:

  • Request rate
  • Response times
  • Error rates
  • Authentication failures
  • Rate limit hits

Logging:

  • All requests logged
  • Structured logging (JSON)
  • Centralized log aggregation

Technology Options

Pros:

  • Feature-rich
  • Plugin ecosystem
  • Good documentation
  • Enterprise support available

Cons:

  • More complex setup
  • Higher resource usage

Option 2: Traefik

Pros:

  • Kubernetes-native
  • Auto-discovery
  • Simpler setup
  • Lower resource usage

Cons:

  • Fewer built-in features
  • Less mature plugin ecosystem

Option 3: Custom (Node.js/TypeScript)

Pros:

  • Full control
  • Custom features
  • Lightweight

Cons:

  • More development time
  • Maintenance burden

Recommendation: Kong Gateway for production, Traefik for simpler setups


Implementation Plan

Phase 1: Basic Gateway (Weeks 1-2)

  • Deploy API gateway (Kong or Traefik)
  • Set up basic routing
  • Configure SSL/TLS
  • Set up monitoring

Phase 2: Authentication (Weeks 3-4)

  • Integrate authentication service
  • Implement JWT validation
  • Set up RBAC
  • Test authentication flow

Phase 3: Rate Limiting (Weeks 5-6)

  • Set up Redis for rate limiting
  • Configure rate limit rules
  • Implement tiered limits
  • Test rate limiting

Phase 4: Advanced Features (Weeks 7-8)

  • API versioning
  • Request/response transformation
  • Caching
  • WebSocket support

Phase 5: Migration (Weeks 9-12)

  • Migrate dbis_core to gateway
  • Migrate the_order to gateway
  • Migrate Sankofa to gateway
  • Migrate other services
  • Complete testing

Configuration Example

Kong Gateway Configuration

services:
  - name: dbis-core
    url: http://dbis-core:3000
    routes:
      - name: dbis-core-v1
        paths:
          - /v1/dbis
        plugins:
          - name: rate-limiting
            config:
              minute: 100
              hour: 1000
          - name: jwt
            config:
              secret_is_base64: false

Traefik Configuration

http:
  routers:
    dbis-core:
      rule: "PathPrefix(`/v1/dbis`)"
      service: dbis-core
      middlewares:
        - auth
        - rate-limit
  services:
    dbis-core:
      loadBalancer:
        servers:
          - url: "http://dbis-core:3000"

Security Considerations

Authentication

  • JWT tokens with short expiration
  • Refresh token rotation
  • Token revocation
  • Secure token storage

Rate Limiting

  • Prevent DDoS attacks
  • Protect against abuse
  • Fair resource allocation

Network Security

  • mTLS for service-to-service
  • WAF (Web Application Firewall)
  • DDoS protection
  • IP whitelisting (optional)

Monitoring & Alerting

Key Metrics

  • Request rate per service
  • Response times (p50, p95, p99)
  • Error rates
  • Authentication failures
  • Rate limit hits
  • Gateway health

Alerts

  • High error rate
  • Slow response times
  • Authentication failures spike
  • Rate limit exhaustion
  • Gateway downtime

Success Metrics

  • Single entry point for all APIs
  • Centralized authentication operational
  • Rate limiting functional
  • 80% of projects migrated to gateway
  • 50% reduction in authentication code duplication
  • Improved API security posture

Last Updated: 2025-01-27 Next Review: After Phase 1 completion