Authentication at gateway level in Microservices - Architecture Diagram

System Overview - Authentication at gateway level

This system handles user requests by verifying their identity at the API Gateway before allowing access to backend microservices. It ensures only authenticated users can reach services, improving security and reducing load on services.

Architecture Diagram

User
  |
  v
Load Balancer
  |
  v
API Gateway (Auth Check)
  |
  v
Microservices Cluster
  |
  v
Database

Cache (for tokens) connected to API Gateway

Components

User

client

Sends requests to the system

Load Balancer

load_balancer

Distributes incoming requests evenly to API Gateway instances

API Gateway

api_gateway

Performs authentication and routes requests to microservices

Cache

cache

Stores authentication tokens for quick validation

Microservices Cluster

service

Handles business logic after authentication

Database

database

Stores user data and service data

Request Flow - 10 Hops

User → Load Balancer

Load Balancer → API Gateway

API Gateway → Cache

Cache → API Gateway

API Gateway → Microservices Cluster

Microservices Cluster → Database

Database → Microservices Cluster

Microservices Cluster → API Gateway

API Gateway → Load Balancer

Load Balancer → User

Failure Scenario

Component Fails:API Gateway

Impact:All incoming requests fail authentication and cannot reach microservices, causing service outage.

Mitigation:Deploy multiple API Gateway instances behind the load balancer for redundancy and failover.

Architecture Quiz - 3 Questions

Where is the user authentication checked in this system?

A Inside each microservice

B Directly in the database

C At the API Gateway before routing to microservices

D At the load balancer

Design Principle

This design centralizes authentication at the API Gateway to secure all requests before they reach microservices. Using a cache for tokens speeds up validation and reduces database load. Load balancer redundancy ensures availability and scalability.

Practice

1. What is the main benefit of performing authentication at the gateway level in a microservices architecture?

easy

A. It slows down the request processing by adding extra steps.

B. It allows each microservice to handle its own authentication independently.

C. It eliminates the need for authorization in microservices.

D. It centralizes authentication, reducing repeated checks in each microservice.

Solution

1. Step 1: Understand the role of gateway authentication

   Authentication at the gateway means checking user identity once before requests reach microservices.

2. Step 2: Identify benefits of centralizing authentication

   This reduces repeated authentication logic inside each microservice, improving maintainability and security.

3. Final Answer:

   It centralizes authentication, reducing repeated checks in each microservice. -> Option D

4. Quick Check:

   Centralized authentication = It centralizes authentication, reducing repeated checks in each microservice. [OK]

Hint: Gateway authentication centralizes checks, avoiding repetition [OK]

Common Mistakes:

• Thinking each microservice should authenticate independently
• Confusing authentication with authorization
• Assuming gateway authentication slows down system

2. Which of the following is the correct way to implement authentication at the gateway level?

easy

A. The gateway validates user tokens and forwards requests with user info.

B. The gateway forwards requests without checking authentication.

C. Each microservice validates user tokens independently.

D. Microservices share a database to authenticate users directly.

Solution

1. Step 1: Identify gateway's role in token validation

   The gateway should validate user tokens to confirm identity before forwarding requests.

2. Step 2: Understand forwarding with user info

   After validation, the gateway forwards requests including user identity details for downstream services.

3. Final Answer:

   The gateway validates user tokens and forwards requests with user info. -> Option A

4. Quick Check:

   Gateway validates tokens = The gateway validates user tokens and forwards requests with user info. [OK]

Hint: Gateway validates tokens, then forwards requests with user info [OK]

Common Mistakes:

• Letting microservices validate tokens independently
• Not validating tokens at the gateway
• Using shared database for authentication in microservices

3. Consider this simplified request flow code snippet at the gateway:

function handleRequest(request) {
  const token = request.headers['Authorization'];
  if (!validateToken(token)) {
    return { status: 401, message: 'Unauthorized' };
  }
  return forwardRequest(request);
}

What will happen if validateToken always returns false?

medium

A. All requests will be forwarded to microservices.

B. Requests without tokens will be forwarded, others rejected.

C. All requests will be rejected with 401 Unauthorized.

D. Gateway will crash due to invalid token handling.

Solution

1. Step 1: Analyze the token validation condition

   If validateToken(token) returns false, the code returns 401 Unauthorized immediately.

2. Step 2: Determine effect on all requests

   Since it always returns false, no requests pass validation, so all are rejected with 401.

3. Final Answer:

   All requests will be rejected with 401 Unauthorized. -> Option C

4. Quick Check:

   Always false validation = 401 rejection [OK]

Hint: False validation means all requests rejected [OK]

Common Mistakes:

• Assuming requests are forwarded despite failed validation
• Thinking gateway crashes on invalid token
• Ignoring the immediate return on failed validation

4. A gateway is designed to authenticate requests but sometimes forwards unauthorized requests to microservices. What is the most likely cause?

medium

A. The gateway does not check the token before forwarding.

B. The gateway caches old valid tokens and skips validation.

C. The gateway uses synchronous token validation.

D. Microservices override the gateway authentication.

Solution

1. Step 1: Identify why unauthorized requests pass

   If the gateway caches tokens and skips validation, expired or revoked tokens may be accepted.

2. Step 2: Understand caching impact on authentication

   Cached tokens can cause stale validation results, allowing unauthorized requests through.

3. Final Answer:

   The gateway caches old valid tokens and skips validation. -> Option B

4. Quick Check:

   Token caching causes stale auth = The gateway caches old valid tokens and skips validation. [OK]

Hint: Stale token cache causes unauthorized forwarding [OK]

Common Mistakes:

• Assuming microservices override gateway auth
• Ignoring token caching effects
• Confusing synchronous validation with forwarding issues

5. You are designing a microservices system with authentication at the gateway level. To ensure high availability and avoid a single point of failure, which design approach is best?

hard

A. Deploy multiple gateway instances behind a load balancer with shared session storage.

B. Use a single gateway instance with a backup database for tokens.

C. Let each microservice authenticate independently to avoid gateway failure.

D. Disable authentication at the gateway and rely on microservices.

Solution

1. Step 1: Identify high availability needs for gateway

   Multiple gateway instances prevent downtime if one fails, improving reliability.

2. Step 2: Understand role of load balancer and shared session storage

   Load balancer distributes requests; shared session storage keeps authentication state consistent across gateways.

3. Final Answer:

   Deploy multiple gateway instances behind a load balancer with shared session storage. -> Option A

4. Quick Check:

   Multiple gateways + load balancer = high availability [OK]

Hint: Use multiple gateways with load balancer for reliability [OK]

Common Mistakes:

• Relying on single gateway instance only
• Ignoring session consistency across gateways
• Disabling gateway authentication entirely