API Gateway Pattern — Aggregation, Routing, Auth (2026)
In this tutorial, you'll learn how the API Gateway pattern centralizes cross-cutting concerns for microservices, how it aggregates responses from multiple services, and why it's the entry point for production-grade API management.
A hotel front desk is an API gateway. You don't call housekeeping directly for towels, maintenance for a broken light, or the kitchen for room service — you call the front desk. The front desk routes your request to the right department, handles authentication (checking your room key), and if you need multiple things, they coordinate. Your room number is a single entry point to the entire hotel's services.
Core Concept
An API gateway is a server that sits between clients and backend services. It acts as a single entry point for all API requests, handling:
- Request routing — forwarding requests to the appropriate service
- Authentication and authorization — verifying identity and permissions
- Rate limiting — preventing abuse by controlling request frequency
- Response aggregation — combining data from multiple services
- Caching — storing frequent responses to reduce load
Client ──→ API Gateway ──→ Service A
│ Service B
│ Service C
│
Auth ✓
Rate Limit ✓
Cache ✓
How It Works
When a client makes a request, the gateway inspects the path, headers, or query parameters to determine which service should handle it. It can transform the request (add headers, convert formats) and the response (aggregate, filter fields).
Request Routing
// Simple routing logic
app.all("/api/users/*", async (req, res) => {
// Authenticate first
const user = await authenticate(req.headers.authorization);
if (!user) return res.status(401).json({ error: "Unauthorized" });
// Rate limit
const allowed = await rateLimiter.check(user.id);
if (!allowed) return res.status(429).json({ error: "Too many requests" });
// Route to user service
const response = await proxyRequest("http://user-service", req);
res.json(response.data);
});
app.all("/api/orders/*", async (req, res) => {
// Similar pattern — auth, rate limit, route
const user = await authenticate(req.headers.authorization);
if (!user) return res.status(401).json({ error: "Unauthorized" });
const allowed = await rateLimiter.check(user.id);
if (!allowed) return res.status(429).json({ error: "Too many requests" });
const response = await proxyRequest("http://order-service", req);
res.json(response.data);
});
Response Aggregation
This is the gateway's killer feature — combining data from multiple services into one response:
async function getOrderDetails(orderId: string) {
// Parallel calls to multiple services
const [order, user, inventory, shipping] = await Promise.all([
orderService.getOrder(orderId),
userService.getUserByOrder(orderId),
inventoryService.getOrderItems(orderId),
shippingService.getTracking(orderId),
]);
// Aggregate into a single response
return {
order: order,
customer: user,
items: inventory,
tracking: shipping,
};
}
Expected output: The client makes one request and receives a complete order detail response. Without a gateway, the client would need 4 separate API calls and handle partial failures itself.
Real-World Examples
E-Commerce API Gateway
Amazon's API gateway handles millions of requests per minute. A product page request triggers calls to product info (database), pricing (dynamic pricing service), inventory (warehouse system), reviews (user-generated content), and recommendations (ML service) — all aggregated behind one endpoint.
Netflix Zuul
Netflix's Zuul gateway handles routing, monitoring, and resiliency for their microservices architecture. It also dynamically routes traffic to different regions based on load, and can filter and modify requests for A/B testing.
API Gateway vs Service Mesh
| Aspect | API Gateway | Service Mesh |
|---|---|---|
| Position | Edge (client-facing) | Internal (service-to-service) |
| Responsibilities | Auth, routing, rate limiting | Service discovery, retries, observability |
| Protocol | HTTP/REST, GraphQL, WebSocket | Often TCP/gRPC |
| Example | Kong, AWS API Gateway, Zuul | Istio, Linkerd |
A common architecture uses both: the API gateway handles external traffic, and the service mesh manages internal service communication.
Pros & Cons
| Pros | Cons |
|---|---|
| Single entry point simplifies clients | Single point of failure (if it goes down, everything does) |
| Centralized auth, rate limiting, logging | Can become a bottleneck under heavy load |
| Response aggregation reduces client complexity | Adds latency (extra network hop) |
| Protocol translation (REST ↔ gRPC) | Requires careful monitoring and scaling |
When to Use
Use an API gateway when:
- You have multiple microservices that a single client consumes
- You need centralized auth, rate limiting, or caching
- Clients are diverse (web, mobile, IoT) and need different response formats
- You want to hide internal service structure from clients
Skip it for monolithic applications, simple systems with 1-2 services, or when the added latency is unacceptable for real-time requirements.
FAQ
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