API Gateway Comparison: AWS API Gateway vs Kong vs Nginx vs Traefik

API Gateway Comparison: AWS API Gateway vs Kong vs Nginx vs Traefik

Quick answer. An API gateway handles routing, auth, rate limiting, logging, and TLS for your APIs. AWS API Gateway fits all-in AWS and serverless; Kong is the most plugin-extensible; Nginx is fastest and simplest for self-hosted routing; Traefik is best for dynamic container-native (Kubernetes/Docker) setups. Pick by where you run and how much you want to manage.

An API gateway handles the cross-cutting concerns that every API needs: routing, authentication, rate limiting, logging, TLS termination, and request transformation. The question isn't whether to use one — it's which one fits your infrastructure and team.

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Quick Decision Guide

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AWS API Gateway

AWS offers two API Gateway products:

HTTP API with JWT authorizer (Terraform):

# terraform/api-gateway.tf
resource "aws_apigatewayv2_api" "main" {
  name          = "api"
  protocol_type = "HTTP"

  cors_configuration {
    allow_origins = ["https://app.yourproduct.com"]
    allow_methods = ["GET", "POST", "PUT", "DELETE", "OPTIONS"]
    allow_headers = ["Content-Type", "Authorization"]
    max_age       = 86400
  }
}

resource "aws_apigatewayv2_authorizer" "jwt" {
  api_id           = aws_apigatewayv2_api.main.id
  authorizer_type  = "JWT"
  identity_sources = ["$request.header.Authorization"]
  name             = "jwt-authorizer"

  jwt_configuration {
    audience = ["https://api.yourproduct.com"]
    issuer   = "https://your-tenant.auth0.com/"
  }
}

resource "aws_apigatewayv2_integration" "backend" {
  api_id             = aws_apigatewayv2_api.main.id
  integration_type   = "HTTP_PROXY"
  integration_uri    = "http://${aws_lb.backend.dns_name}/{proxy}"
  integration_method = "ANY"
  payload_format_version = "1.0"
}

resource "aws_apigatewayv2_route" "protected" {
  api_id             = aws_apigatewayv2_api.main.id
  route_key          = "ANY /api/{proxy+}"
  authorization_type = "JWT"
  authorizer_id      = aws_apigatewayv2_authorizer.jwt.id
  target             = "integrations/${aws_apigatewayv2_integration.backend.id}"
}

resource "aws_apigatewayv2_stage" "default" {
  api_id      = aws_apigatewayv2_api.main.id
  name        = "$default"
  auto_deploy = true

  default_route_settings {
    throttling_burst_limit = 5000
    throttling_rate_limit  = 1000
  }
}

Cost reality check:

• 100M requests/month: HTTP API = $100, REST API = $350
• At low scale (< 10M req/month), cost difference is negligible
• At high scale (> 1B req/month), consider self-hosted Kong or Nginx — much cheaper

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Kong OSS

Kong is a Lua-based API gateway built on Nginx, extensible via plugins. Kong OSS is free; Kong Enterprise adds RBAC, dev portal, and analytics ($).

Docker Compose setup:

# docker-compose.yml
services:
  kong-db:
    image: postgres:16-alpine
    environment:
      POSTGRES_USER: kong
      POSTGRES_PASSWORD: kong
      POSTGRES_DB: kong
    volumes:
      - kong_db:/var/lib/postgresql/data

  kong-migrations:
    image: kong:3.7
    command: kong migrations bootstrap
    environment:
      KONG_DATABASE: postgres
      KONG_PG_HOST: kong-db
      KONG_PG_USER: kong
      KONG_PG_PASSWORD: kong
    depends_on: [kong-db]

  kong:
    image: kong:3.7
    environment:
      KONG_DATABASE: postgres
      KONG_PG_HOST: kong-db
      KONG_PG_USER: kong
      KONG_PG_PASSWORD: kong
      KONG_PROXY_LISTEN: 0.0.0.0:8000
      KONG_ADMIN_LISTEN: 0.0.0.0:8001
    ports:
      - "8000:8000"  # Proxy
      - "8001:8001"  # Admin API
    depends_on: [kong-migrations]

volumes:
  kong_db:

Configure a service, route, and plugins via Kong Admin API:

# Create a service (upstream)
curl -X POST http://localhost:8001/services \
  -d name=users-api \
  -d url=http://users-service:3001

# Create a route for the service
curl -X POST http://localhost:8001/services/users-api/routes \
  -d "paths[]=/api/users" \
  -d "methods[]=GET" \
  -d "methods[]=POST"

# Add JWT auth plugin
curl -X POST http://localhost:8001/services/users-api/plugins \
  -d name=jwt \
  -d "config.claims_to_verify=exp"

# Add rate limiting plugin
curl -X POST http://localhost:8001/services/users-api/plugins \
  -d name=rate-limiting \
  -d "config.minute=1000" \
  -d "config.hour=10000" \
  -d "config.policy=redis" \
  -d "config.redis_host=redis"

# Add request logging plugin
curl -X POST http://localhost:8001/plugins \
  -d name=file-log \
  -d "config.path=/tmp/kong.log"

Kong declarative config (DB-less mode, good for Kubernetes):

# kong.yaml
_format_version: "3.0"

services:
  - name: users-api
    url: http://users-service:3001
    routes:
      - name: users-route
        paths: [/api/users]
    plugins:
      - name: jwt
        config:
          claims_to_verify: [exp]
      - name: rate-limiting
        config:
          minute: 1000
          policy: redis
          redis_host: redis
          redis_port: 6379

  - name: payments-api
    url: http://payments-service:3002
    routes:
      - name: payments-route
        paths: [/api/payments]
        methods: [POST]
    plugins:
      - name: jwt
      - name: request-size-limiting
        config:
          allowed_payload_size: 1  # 1MB max

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Nginx as API Gateway

Nginx is not purpose-built as an API gateway, but it's extremely fast and widely understood. For teams with Nginx expertise, using it as a gateway avoids learning another tool.

# /etc/nginx/conf.d/api-gateway.conf
upstream users_service {
    server users-service:3001;
    keepalive 32;
}

upstream orders_service {
    server orders-service:3002;
    keepalive 32;
}

# Rate limiting zone: 10 req/s per IP
limit_req_zone $binary_remote_addr zone=api_limit:10m rate=10r/s;

server {
    listen 80;
    server_name api.yourproduct.com;

    # JWT validation via auth subrequest
    location = /auth {
        internal;
        proxy_pass http://auth-service:3003/validate;
        proxy_pass_request_body off;
        proxy_set_header Content-Length "";
        proxy_set_header X-Original-URI $request_uri;
    }

    location /api/users {
        auth_request /auth;
        auth_request_set $auth_user_id $upstream_http_x_user_id;
        auth_request_set $auth_tenant_id $upstream_http_x_tenant_id;

        limit_req zone=api_limit burst=20 nodelay;

        proxy_pass http://users_service;
        proxy_set_header X-User-Id $auth_user_id;
        proxy_set_header X-Tenant-Id $auth_tenant_id;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;

        # Timeouts
        proxy_connect_timeout 5s;
        proxy_read_timeout 30s;
        proxy_send_timeout 30s;
    }

    location /api/orders {
        auth_request /auth;
        limit_req zone=api_limit burst=20 nodelay;
        proxy_pass http://orders_service;
        proxy_set_header Host $host;
    }

    # Health check (no auth)
    location /health {
        return 200 '{"status":"ok"}';
        add_header Content-Type application/json;
    }
}

Nginx rate limiting granularity:

# Per-user rate limiting (requires user ID from JWT in a header)
map $http_x_user_id $rate_limit_key {
    default $binary_remote_addr;  # Fall back to IP if no user ID
    ~.+     $http_x_user_id;
}
limit_req_zone $rate_limit_key zone=per_user:50m rate=100r/m;

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Traefik for Kubernetes

Traefik integrates natively with Kubernetes — it reads IngressRoute custom resources and automatically discovers services. No Nginx config files to maintain.

# k8s/ingress-route.yaml
apiVersion: traefik.io/v1alpha1
kind: IngressRoute
metadata:
  name: api-routes
  namespace: production
spec:
  entryPoints: [websecure]
  routes:
    - match: Host(`api.yourproduct.com`) && PathPrefix(`/api/users`)
      kind: Rule
      middlewares:
        - name: jwt-auth
        - name: rate-limit
      services:
        - name: users-service
          port: 3001

    - match: Host(`api.yourproduct.com`) && PathPrefix(`/api/orders`)
      kind: Rule
      middlewares:
        - name: jwt-auth
        - name: rate-limit
      services:
        - name: orders-service
          port: 3002
  tls:
    certResolver: letsencrypt

# k8s/middlewares.yaml
apiVersion: traefik.io/v1alpha1
kind: Middleware
metadata:
  name: rate-limit
spec:
  rateLimit:
    average: 100
    period: 1m
    burst: 50
---
apiVersion: traefik.io/v1alpha1
kind: Middleware
metadata:
  name: jwt-auth
spec:
  forwardAuth:
    address: http://auth-service:3003/validate
    authResponseHeaders:
      - X-User-Id
      - X-Tenant-Id

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Performance Comparison

Benchmarks (single-core, 100-byte response, ~2026 hardware):

In practice, backend latency (tens to hundreds of milliseconds) dominates. Gateway overhead rarely matters until you're handling > 10K req/s.

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Cost Comparison (100M requests/month)

At high scale (> 1B requests/month), self-hosted Kong or Nginx is significantly cheaper than AWS API Gateway.

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The Viprasol Method

We design and implement API gateway infrastructure — AWS API Gateway with Terraform, Kong in Kubernetes, Nginx reverse proxy configurations, and Traefik for Kubernetes-native routing. Gateway setup is foundational for any multi-service architecture.

→ Talk to our team about API infrastructure and microservices architecture.

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Continue Learning

• API Rate Limiting — rate limiting strategies beyond gateway configuration
• Microservices Architecture — when API gateways become necessary
• Kubernetes Security — securing Traefik and ingress controllers
• DevOps Best Practices — infrastructure-as-code for gateway config
• Cloud Solutions — API infrastructure and platform engineering

API Gateway Comparison: Choosing Between a REST API and Traefik in Practice

A useful API gateway comparison starts with what actually sits in front of your services. The "REST API vs Traefik" question is a common point of confusion, so it is worth clarifying: a REST API is the interface your application exposes, while Traefik is a reverse proxy and gateway that routes, secures, and load-balances traffic to those APIs. They solve different layers of the stack, not competing roles.

When weighing AWS API Gateway, Kong, Nginx, and Traefik, match the tool to your constraints. Traefik shines with dynamic service discovery in containerized environments. Kong adds a rich plugin ecosystem for auth and rate limiting. AWS API Gateway suits serverless and managed deployments. At Viprasol Tech, our senior engineers take full ownership of these decisions, benchmarking latency, observability, and operational cost before recommending an architecture.