API Gateway Complete Guide

If you've built or worked with microservices, you've hit this problem: clients need to talk to multiple backend services. Without a single entry point, every client must know every service's address, handle authentication separately, and deal with different protocols.
An API gateway solves this. It's the front door for all your API traffic — one URL, one place for authentication, one place for rate limiting, and intelligent routing to all your backend services.
In the Reverse Proxy post, we covered how a reverse proxy handles SSL termination, caching, and load balancing. An API gateway does all of that plus API-specific concerns: authentication, request transformation, rate limiting per API key, and response aggregation.
Time commitment: 1-2 hours
Prerequisites: Understanding of REST APIs, HTTP, and reverse proxies
What You'll Learn
✅ What an API gateway is and why microservices need one
✅ How API gateways differ from reverse proxies
✅ Routing patterns — path-based, header-based, and versioned routing
✅ Authentication and authorization at the gateway
✅ Rate limiting — per client, per API key, per endpoint
✅ Request/response transformation and aggregation
✅ Circuit breaking and resilience patterns
✅ Practical setup with Kong, AWS API Gateway, and Spring Cloud Gateway
1. What is an API Gateway?
An API gateway is a server that sits between clients and your backend services. It receives all API requests, routes them to the right service, and returns the response.
Without an API gateway, every client needs to:
- Know the address of every service
- Handle authentication with each service separately
- Deal with different protocols and data formats
- Implement retry logic and circuit breaking
- Handle API versioning per service
The gateway centralizes all of this.
What It Does
When a request arrives at the API gateway:
- Authenticates — validates API key, JWT token, or OAuth token
- Authorizes — checks if the client has permission for this endpoint
- Rate limits — checks if the client has exceeded their quota
- Routes — determines which backend service handles this request
- Transforms — modifies the request format if needed (headers, body)
- Forwards — sends the request to the backend service
- Aggregates — optionally combines responses from multiple services
- Returns — sends the response back to the client
2. API Gateway vs Reverse Proxy
A reverse proxy and an API gateway overlap significantly. The key difference is what level they operate at.
| Aspect | Reverse Proxy | API Gateway |
|---|---|---|
| Focus | Infrastructure (HTTP traffic) | Application (API management) |
| Routing | Path/host-based | Path, header, method, query param, version |
| Authentication | Basic (IP, client cert) | JWT, OAuth2, API keys, OIDC |
| Rate limiting | Per IP address | Per API key, per user, per endpoint |
| Transformation | Header manipulation | Request/response body transformation |
| Aggregation | No | Combine multiple service responses |
| API versioning | No (manual) | Built-in version management |
| Developer portal | No | API docs, key management, usage analytics |
| Examples | Nginx, HAProxy | Kong, AWS API Gateway, Apigee |
Think of it this way:
- Reverse proxy: "Route this HTTP request to the right server"
- API gateway: "Authenticate this API consumer, check their rate limit, transform the request, route it, and log the usage"
In practice, many tools blur this line. Nginx with Lua plugins can act as an API gateway. Kong is built on Nginx but adds API management features. The distinction is about capability, not strict categories.
3. Core Features
3.1 Request Routing
The most fundamental feature — route incoming requests to the right backend service.
Path-based routing:
GET /api/users/123 → User Service
GET /api/orders/456 → Order Service
POST /api/payments → Payment Service
GET /api/notifications → Notification ServiceHeader-based routing:
X-API-Version: v1 → Legacy Service
X-API-Version: v2 → New ServiceMethod-based routing:
GET /api/products → Product Read Service (optimized for queries)
POST /api/products → Product Write Service (optimized for writes)Query parameter routing:
GET /api/search?type=products → Product Search Service
GET /api/search?type=users → User Search Service3.2 Authentication and Authorization
The gateway is the perfect place to handle auth — validate once, forward the identity downstream.
Common auth patterns at the gateway:
| Pattern | How It Works | Best For |
|---|---|---|
| API Key | Client sends key in header (X-API-Key) | Third-party integrations |
| JWT | Client sends token in Authorization: Bearer header | SPAs, mobile apps |
| OAuth2 | Gateway handles full OAuth2 flow | Third-party API access |
| mTLS | Client presents certificate | Service-to-service |
| OIDC | OpenID Connect for identity verification | Enterprise SSO |
Key principle: The gateway validates the token and extracts the identity. Backend services receive trusted headers (X-User-ID, X-Role) — they don't need to validate tokens themselves.
3.3 Rate Limiting
Control how many requests each client can make. This protects your backend from abuse and ensures fair usage.
Rate limiting strategies:
| Strategy | Example | Use Case |
|---|---|---|
| Per IP | 100 req/min per IP | Basic DDoS protection |
| Per API key | 1000 req/hour per key | Third-party API access |
| Per user | 50 req/min per user | Authenticated endpoints |
| Per endpoint | 10 req/min on /login | Brute-force protection |
| Global | 10,000 req/min total | Overall system protection |
Rate limit response:
HTTP/1.1 429 Too Many Requests
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1710000000
Retry-After: 30
{
"error": "rate_limit_exceeded",
"message": "You have exceeded 100 requests per minute",
"retry_after": 30
}Rate limiting algorithms:
- Fixed window: Count requests in fixed time windows (e.g., per minute). Simple but can allow bursts at window boundaries.
- Sliding window: Smoother distribution using a rolling time window. More accurate.
- Token bucket: Tokens accumulate over time, each request consumes one. Allows controlled bursts.
- Leaky bucket: Requests queue up and process at a fixed rate. Smoothest output.
3.4 Request/Response Transformation
Transform requests and responses as they pass through the gateway.
Request transformation:
Client sends:
POST /api/v2/users
Content-Type: application/json
{ "firstName": "John", "lastName": "Doe" }
Gateway transforms to:
POST /users
Content-Type: application/json
X-API-Version: 2
{ "first_name": "John", "last_name": "Doe" }Response transformation:
Backend responds:
{ "user_id": 123, "first_name": "John", "created_at": "2026-03-11T..." }
Gateway transforms to:
{ "id": 123, "firstName": "John", "createdAt": "2026-03-11T..." }Common transformations:
- Header injection: Add API version, correlation ID, request timestamp
- Body format: Convert between camelCase and snake_case
- Field filtering: Remove internal fields from responses
- Protocol translation: Accept REST, forward as gRPC
- Response wrapping: Wrap responses in a standard envelope
3.5 Request Aggregation (API Composition)
One of the most powerful features — combine responses from multiple services into a single response for the client.
Without aggregation, the client would need to make 3 separate API calls. With aggregation, one call returns everything.
Example aggregated response:
{
"user": {
"id": 123,
"name": "John Doe",
"email": "john@example.com"
},
"recentOrders": [
{ "id": 456, "total": 99.99, "status": "delivered" },
{ "id": 457, "total": 49.99, "status": "processing" }
],
"paymentMethods": [
{ "type": "credit_card", "last4": "4242" }
]
}This is especially valuable for mobile clients where minimizing network requests matters.
3.6 Circuit Breaking
When a backend service is failing, the gateway can stop sending it requests — preventing cascading failures.
Circuit states:
| State | Behavior |
|---|---|
| Closed | Normal operation — all requests forwarded |
| Open | Backend is failing — return fallback/error immediately, don't forward |
| Half-Open | After timeout, send one test request. If it succeeds, close circuit. If it fails, keep open. |
Configuration example:
circuit_breaker:
threshold: 5 # Open after 5 consecutive failures
timeout: 30s # Wait 30s before trying half-open
half_open_requests: 3 # Allow 3 test requests in half-open
failure_codes: # Which HTTP codes count as failures
- 500
- 502
- 503
- 5044. API Gateway Patterns
4.1 Single Gateway
The simplest pattern — one gateway for all clients and all services.
Pros: Simple, centralized configuration, easy to monitor.
Cons: Single point of failure, one team owns the gateway, can become a bottleneck.
4.2 Backend for Frontend (BFF)
Each client type gets its own gateway that's tailored to its needs.
Why BFF?
- Mobile needs compact responses (bandwidth is limited) and different aggregation
- Web needs richer responses and may access more services
- Third-party needs stable, versioned APIs with strict rate limiting
Each BFF team can deploy independently without coordinating with other teams.
4.3 Gateway per Domain
In large organizations, each domain/team owns their gateway.
Pros: Teams own their gateway, independent deployments, domain isolation.
Cons: Duplicated cross-cutting concerns, harder to enforce global policies.
4.4 Sidecar Gateway (Service Mesh)
Instead of a centralized gateway, each service gets its own proxy sidecar (like Envoy in Istio).
This is the service mesh approach (Istio, Linkerd). The sidecar handles mTLS, retry, circuit breaking, and observability for service-to-service communication. The ingress gateway handles external client traffic.
5. API Versioning at the Gateway
The gateway is the ideal place to manage API versions without changing backend services.
Versioning Strategies
URL path versioning:
GET /api/v1/users/123 → User Service v1
GET /api/v2/users/123 → User Service v2Header versioning:
GET /api/users/123
Accept: application/vnd.api.v2+json → User Service v2Query parameter versioning:
GET /api/users/123?version=2 → User Service v2Gateway-Level Version Routing
The gateway can route different versions to different backend deployments:
routes:
- path: /api/v1/users
service: user-service-v1
strip_prefix: /api/v1
- path: /api/v2/users
service: user-service-v2
strip_prefix: /api/v2
# Default latest version
- path: /api/users
service: user-service-v2
strip_prefix: /apiOr the gateway can transform requests to match the backend's expected format — allowing one backend to serve multiple API versions:
routes:
- path: /api/v1/users
service: user-service
transform:
request:
rename_fields:
firstName: first_name
lastName: last_name
response:
rename_fields:
first_name: firstName
last_name: lastName6. Practical Setup: Kong
Kong is the most popular open-source API gateway. Built on Nginx + Lua, it combines high performance with a plugin ecosystem.
Setup with Docker
# docker-compose.yml
version: "3.8"
services:
kong-database:
image: postgres:15-alpine
environment:
POSTGRES_USER: kong
POSTGRES_DB: kong
POSTGRES_PASSWORD: kongpass
volumes:
- kong-data:/var/lib/postgresql/data
kong-migration:
image: kong:3.6
depends_on:
- kong-database
environment:
KONG_DATABASE: postgres
KONG_PG_HOST: kong-database
KONG_PG_PASSWORD: kongpass
command: kong migrations bootstrap
kong:
image: kong:3.6
depends_on:
- kong-database
- kong-migration
environment:
KONG_DATABASE: postgres
KONG_PG_HOST: kong-database
KONG_PG_PASSWORD: kongpass
KONG_PROXY_ACCESS_LOG: /dev/stdout
KONG_ADMIN_ACCESS_LOG: /dev/stdout
KONG_PROXY_ERROR_LOG: /dev/stderr
KONG_ADMIN_ERROR_LOG: /dev/stderr
KONG_ADMIN_LISTEN: "0.0.0.0:8001"
ports:
- "8000:8000" # Proxy port
- "8443:8443" # Proxy SSL port
- "8001:8001" # Admin API
volumes:
kong-data:Configuring Routes
# Create a service
curl -i -X POST http://localhost:8001/services/ \
--data "name=user-service" \
--data "url=http://user-service:3000"
# Create a route for the service
curl -i -X POST http://localhost:8001/services/user-service/routes \
--data "name=user-routes" \
--data "paths[]=/api/users" \
--data "strip_path=true"
# Create another service
curl -i -X POST http://localhost:8001/services/ \
--data "name=order-service" \
--data "url=http://order-service:3001"
# Route for order service
curl -i -X POST http://localhost:8001/services/order-service/routes \
--data "name=order-routes" \
--data "paths[]=/api/orders" \
--data "strip_path=true"Adding Plugins
# Rate limiting — 100 requests per minute per consumer
curl -i -X POST http://localhost:8001/services/user-service/plugins \
--data "name=rate-limiting" \
--data "config.minute=100" \
--data "config.policy=local"
# JWT authentication
curl -i -X POST http://localhost:8001/services/user-service/plugins \
--data "name=jwt"
# Request logging
curl -i -X POST http://localhost:8001/services/user-service/plugins \
--data "name=file-log" \
--data "config.path=/tmp/api-logs.log"
# CORS
curl -i -X POST http://localhost:8001/services/user-service/plugins \
--data "name=cors" \
--data "config.origins[]=https://example.com" \
--data "config.methods[]=GET" \
--data "config.methods[]=POST" \
--data "config.headers[]=Authorization" \
--data "config.headers[]=Content-Type"
# Response transformer — remove internal headers
curl -i -X POST http://localhost:8001/services/user-service/plugins \
--data "name=response-transformer" \
--data "config.remove.headers=X-Powered-By" \
--data "config.remove.headers=Server"Kong Declarative Configuration
For production, use declarative config (YAML) instead of the Admin API:
# kong.yml
_format_version: "3.0"
services:
- name: user-service
url: http://user-service:3000
routes:
- name: user-routes
paths:
- /api/users
strip_path: true
plugins:
- name: rate-limiting
config:
minute: 100
policy: redis
redis_host: redis
- name: jwt
- name: cors
config:
origins:
- "https://example.com"
methods:
- GET
- POST
- PUT
- DELETE
- name: order-service
url: http://order-service:3001
routes:
- name: order-routes
paths:
- /api/orders
strip_path: true
plugins:
- name: rate-limiting
config:
minute: 50
policy: redis
redis_host: redis
consumers:
- username: mobile-app
jwt_secrets:
- key: mobile-app-key
algorithm: HS256
secret: your-secret-key
- username: web-app
jwt_secrets:
- key: web-app-key
algorithm: HS256
secret: your-other-secret7. Practical Setup: AWS API Gateway
AWS API Gateway is a fully managed service — no servers to manage.
REST API Configuration
# serverless.yml (Serverless Framework)
service: my-api
provider:
name: aws
runtime: nodejs20.x
region: us-east-1
functions:
getUsers:
handler: handlers/users.getAll
events:
- http:
path: /users
method: get
cors: true
authorizer:
type: COGNITO_USER_POOLS
authorizerId:
Ref: ApiGatewayAuthorizer
getUser:
handler: handlers/users.getById
events:
- http:
path: /users/{id}
method: get
cors: true
createOrder:
handler: handlers/orders.create
events:
- http:
path: /orders
method: post
cors: true
resources:
Resources:
# Usage plan with rate limiting
ApiUsagePlan:
Type: AWS::ApiGateway::UsagePlan
Properties:
UsagePlanName: BasicPlan
Throttle:
BurstLimit: 100
RateLimit: 50
Quota:
Limit: 10000
Period: MONTH
# API Key
ApiKey:
Type: AWS::ApiGateway::ApiKey
Properties:
Name: mobile-app-key
Enabled: true
# Cognito authorizer
ApiGatewayAuthorizer:
Type: AWS::ApiGateway::Authorizer
Properties:
Name: CognitoAuthorizer
Type: COGNITO_USER_POOLS
ProviderARNs:
- !GetAtt UserPool.Arn
RestApiId:
Ref: ApiGatewayRestApi
IdentitySource: method.request.header.AuthorizationHTTP API (Simpler, Cheaper)
# AWS SAM template
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
HttpApi:
Type: AWS::Serverless::HttpApi
Properties:
StageName: prod
CorsConfiguration:
AllowMethods:
- GET
- POST
- PUT
- DELETE
AllowOrigins:
- "https://example.com"
AllowHeaders:
- Authorization
- Content-Type
GetUsersFunction:
Type: AWS::Serverless::Function
Properties:
Handler: handlers/users.getAll
Runtime: nodejs20.x
Events:
GetUsers:
Type: HttpApi
Properties:
ApiId: !Ref HttpApi
Path: /users
Method: GETAWS API Gateway Features
| Feature | REST API | HTTP API |
|---|---|---|
| Cost | Higher | ~70% cheaper |
| Latency | Higher | Lower |
| Caching | Built-in | No |
| API Keys | Yes | No |
| Usage plans | Yes | No |
| Request validation | Yes | No |
| WAF integration | Yes | Yes |
| JWT authorizer | Via Lambda | Built-in |
| Best for | Full API management | Simple, cost-effective APIs |
8. Practical Setup: Spring Cloud Gateway
If you're in the Java/Spring ecosystem, Spring Cloud Gateway is the natural choice.
Setup
<!-- pom.xml -->
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-gateway</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-circuitbreaker-resilience4j</artifactId>
</dependency>
</dependencies>Configuration
# application.yml
spring:
cloud:
gateway:
routes:
# User service
- id: user-service
uri: http://user-service:3000
predicates:
- Path=/api/users/**
filters:
- StripPrefix=1
- name: CircuitBreaker
args:
name: userServiceCB
fallbackUri: forward:/fallback/users
- name: RequestRateLimiter
args:
redis-rate-limiter.replenishRate: 10
redis-rate-limiter.burstCapacity: 20
key-resolver: "#{@apiKeyResolver}"
- AddRequestHeader=X-Gateway, spring-cloud
# Order service
- id: order-service
uri: http://order-service:3001
predicates:
- Path=/api/orders/**
- Method=GET,POST,PUT
filters:
- StripPrefix=1
- name: Retry
args:
retries: 3
statuses: BAD_GATEWAY,SERVICE_UNAVAILABLE
methods: GET
backoff:
firstBackoff: 100ms
maxBackoff: 500ms
factor: 2
# Version-based routing
- id: user-service-v2
uri: http://user-service-v2:3000
predicates:
- Path=/api/users/**
- Header=X-API-Version, v2
filters:
- StripPrefix=1
# Default filters applied to all routes
default-filters:
- name: RequestSize
args:
maxSize: 5MB
- DedupeResponseHeader=Access-Control-Allow-Origin
# Global CORS
globalcors:
corsConfigurations:
"[/**]":
allowedOrigins: "https://example.com"
allowedMethods: "*"
allowedHeaders: "*"Custom Filters
@Component
public class JwtAuthFilter implements GatewayFilterFactory<JwtAuthFilter.Config> {
@Override
public GatewayFilter apply(Config config) {
return (exchange, chain) -> {
String token = exchange.getRequest().getHeaders()
.getFirst(HttpHeaders.AUTHORIZATION);
if (token == null || !token.startsWith("Bearer ")) {
exchange.getResponse().setStatusCode(HttpStatus.UNAUTHORIZED);
return exchange.getResponse().setComplete();
}
try {
Claims claims = validateToken(token.substring(7));
// Add user info as headers for downstream services
ServerHttpRequest modifiedRequest = exchange.getRequest()
.mutate()
.header("X-User-ID", claims.getSubject())
.header("X-User-Role", claims.get("role", String.class))
.build();
return chain.filter(
exchange.mutate().request(modifiedRequest).build()
);
} catch (Exception e) {
exchange.getResponse().setStatusCode(HttpStatus.UNAUTHORIZED);
return exchange.getResponse().setComplete();
}
};
}
public static class Config {
// Configuration properties
}
}Rate Limiter with Redis
@Configuration
public class RateLimiterConfig {
@Bean
public KeyResolver apiKeyResolver() {
return exchange -> {
String apiKey = exchange.getRequest().getHeaders()
.getFirst("X-API-Key");
return Mono.just(apiKey != null ? apiKey : exchange.getRequest()
.getRemoteAddress().getAddress().getHostAddress());
};
}
@Bean
public KeyResolver userKeyResolver() {
return exchange -> {
String userId = exchange.getRequest().getHeaders()
.getFirst("X-User-ID");
return Mono.just(userId != null ? userId : "anonymous");
};
}
}9. Observability
An API gateway is the perfect place to collect metrics, traces, and logs — it sees every request.
Key Metrics
| Metric | What It Tells You |
|---|---|
| Request rate | How much traffic you're handling |
| Error rate | Percentage of 4xx and 5xx responses |
| Latency (p50, p95, p99) | How fast responses are |
| Rate limit hits | How often clients hit their limits |
| Circuit breaker trips | Which services are failing |
| Request size | Bandwidth consumption patterns |
| Active connections | Current load on the gateway |
Logging Best Practices
Every request through the gateway should log:
{
"timestamp": "2026-03-11T10:30:00Z",
"request_id": "req-abc-123",
"method": "GET",
"path": "/api/users/123",
"status": 200,
"latency_ms": 45,
"client_ip": "203.0.113.50",
"api_key": "mobile-app",
"user_id": "user-456",
"upstream_service": "user-service",
"upstream_latency_ms": 38,
"cache_status": "MISS",
"rate_limit_remaining": 95
}This data enables:
- Debugging: Trace a request through the entire system
- Analytics: Understand API usage patterns
- Alerting: Detect anomalies in error rates or latency
- Billing: Charge API consumers based on usage
10. Security Best Practices
Defense in Depth
Layer 1 — WAF (Web Application Firewall): Block SQL injection, XSS, known attack patterns before they reach the gateway.
Layer 2 — API Gateway: Authenticate, authorize, rate limit, validate request schemas.
Layer 3 — Service Mesh: mTLS between services, network policies, service-level auth.
Layer 4 — Backend Service: Input validation, business logic authorization.
Security Checklist
✅ Always use HTTPS — terminate TLS at the gateway or load balancer
✅ Validate all tokens — don't trust client-provided identity without verification
✅ Rate limit everything — especially auth endpoints
✅ Validate request schemas — reject malformed requests at the gateway
✅ Strip sensitive headers — remove X-Powered-By, Server, internal headers
✅ Log all requests — with correlation IDs for tracing
✅ Use API keys for third-parties — track and control external access
✅ Implement CORS properly — don't use * for allowed origins in production
✅ Set request size limits — prevent oversized payloads
✅ Rotate credentials regularly — API keys, JWT secrets, certificates
11. When to Use (and Not Use) an API Gateway
Use an API Gateway When
- You have multiple backend services that clients need to access
- You need centralized authentication across services
- You need rate limiting per API key (not just per IP)
- You need request aggregation to reduce client round-trips
- You have multiple client types (mobile, web, third-party) with different needs
- You need API versioning without changing backend services
- You need a developer portal with API documentation and key management
Don't Use an API Gateway When
- You have a monolithic application — a reverse proxy is sufficient
- You have only 1-2 services — the overhead isn't worth it
- Your services are internal only (no external API consumers)
- You're at an early stage — start simple, add a gateway when you need it
- You'd be creating a single point of failure without proper HA setup
Choosing the Right Solution
| Scenario | Recommendation |
|---|---|
| Simple reverse proxy needs | Nginx, Caddy |
| Docker/Kubernetes microservices | Kong, Traefik |
| AWS serverless | AWS API Gateway |
| Spring Boot ecosystem | Spring Cloud Gateway |
| Enterprise with complex policies | Apigee, MuleSoft |
| Service mesh + gateway | Istio + Envoy |
| Budget-conscious | Kong OSS, Traefik |
12. Comparison of API Gateway Solutions
| Feature | Kong | AWS API Gateway | Spring Cloud GW | Traefik | Apigee |
|---|---|---|---|---|---|
| Type | Open source | Managed | Open source | Open source | Managed |
| Language | Lua/Nginx | N/A | Java | Go | N/A |
| Deployment | Self-hosted/Cloud | AWS only | Self-hosted | Self-hosted | Google Cloud |
| Auth | Plugins | Built-in | Filters | Middleware | Built-in |
| Rate limiting | Plugin | Built-in | Filter + Redis | Middleware | Built-in |
| Plugins | 100+ | Limited | Custom filters | Middleware | Policies |
| Performance | Excellent | Good | Good | Excellent | Good |
| Kubernetes | Ingress controller | N/A | Pod deployment | Ingress controller | Adapter |
| Best for | General purpose | AWS apps | Spring apps | Container routing | Enterprise |
Summary
| Topic | What We Covered |
|---|---|
| Concept | API gateway is the single entry point for all API traffic in a microservices architecture |
| vs Reverse Proxy | API gateway adds auth, rate limiting per key, aggregation, and API management on top of reverse proxy |
| Routing | Path-based, header-based, method-based, and versioned routing |
| Authentication | JWT, API keys, OAuth2, mTLS — validate once at the gateway |
| Rate Limiting | Per IP, per key, per user, per endpoint with various algorithms |
| Aggregation | Combine responses from multiple services in a single call |
| Circuit Breaking | Stop sending requests to failing services, use fallbacks |
| Patterns | Single gateway, BFF, gateway per domain, service mesh |
| Solutions | Kong (general), AWS API Gateway (serverless), Spring Cloud Gateway (Java) |
| Security | Defense in depth — WAF → Gateway → Service Mesh → Backend |
Key takeaways:
✅ An API gateway centralizes cross-cutting concerns — auth, rate limiting, logging, routing
✅ Start with a reverse proxy; add an API gateway when you have multiple services and external consumers
✅ The BFF pattern gives each client type its own optimized gateway
✅ Circuit breaking prevents cascading failures across services
✅ Rate limit by API key, not just by IP — this enables fair usage for API consumers
✅ The gateway is the best place for observability — it sees every request
✅ Choose your gateway based on your ecosystem: Kong for general use, AWS for serverless, Spring Cloud for Java
An API gateway isn't just a router — it's where you define how the outside world interacts with your system. Get it right, and your microservices architecture becomes clean, secure, and observable. Get it wrong, and it becomes a bottleneck that every team complains about.
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