Chapter 6: API Design & System Integration

Building Communication Bridges Between Systems

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Now that our application’s data layer is optimized, it’s time to connect systems, expose functionality, and enable distributed collaboration, through well-designed APIs and integration strategies.

Objective

To equip you with the skills to design clean, scalable, and secure APIs and implement integration strategies that enable seamless communication across services, systems, and third-party platforms.

What System Integration Means for Architects

As a Solution Architect, you are the communication designer of the system. You must ensure:

• Internal services talk to each other reliably

• External clients can consume APIs easily and securely

• Communication patterns are chosen based on performance, scalability, and evolution needs

Let’s explore your integration toolkit.

REST vs GraphQL, Understanding the API Paradigms

REST (Representational State Transfer)

• Resource-based, uses HTTP methods (GET, POST, PUT, DELETE)

• Predictable and cache-friendly

• Ideal for CRUD-heavy applications

GraphQL

• Single endpoint, client specifies data shape

• Reduces over-fetching/under-fetching

• Requires schema management, good for complex UIs

Architect’s Guidance:

• Use REST when you need simplicity, caching, and strong convention

• Use GraphQL for client-driven data needs, especially mobile or dashboard apps

API Gateway & Rate Limiting

API Gateways act as traffic controllers for your services. They:

• Route requests to the right backend

• Enforce rate limits, authentication, logging, and caching

• Allow for centralized monitoring and throttling

Popular Tools:

• AWS API Gateway

• Kong, NGINX, Apigee

• Azure API Management

Design Consideration: Always implement rate limiting and circuit breakers to protect backend services from abuse or spikes.

gRPC, Webhooks & Event-Driven Integration

gRPC

• Binary protocol built on HTTP/2

• Fast, contract-based (Protobuf), ideal for microservice communication

• Use when latency matters and you control both client/server

Webhooks

• Server-to-server callbacks triggered by events (e.g., Stripe, GitHub)

• Lightweight, event-based outbound calls

Event-Driven Design

• Services emit and consume events, enabling async communication

• Promotes loose coupling, scalability, and resilience

Use cases:

• Order confirmation events

• Inventory updates

• Notification systems

Message Queues – Decoupling at Scale

Message queues help manage asynchronous communication in distributed systems.

Popular tools:

• RabbitMQ – Easy setup, supports multiple protocols (AMQP, MQTT)

• Kafka – High throughput, persistent logs, great for real-time streaming

When to use:

• Offloading heavy or delayed tasks

• Ensuring reliable delivery even if consumer is offline

• Smoothing traffic spikes

Architect’s Tip: Always choose idempotency in consumers to avoid duplicates when retrying failed messages.

Decision Matrix – REST vs GraphQL vs gRPC

Lab: API Spec for a Payments Module

Objective: Design a complete API specification (OpenAPI or Postman format) for a payment processing module.

Include:

• /initiate-payment

• /verify-payment

• /refund

• Error handling & status codes

• Auth headers & rate limits

• Optional webhook for success/failure callback

Bonus: Outline how this API integrates with a 3rd-party gateway (like Stripe or Razorpay).

Assignment: REST vs GraphQL Decision-Making

You’ll be given a SaaS product scenario (e.g., project management tool). For this case:

• Evaluate REST and GraphQL approaches

• Choose one and justify based on data complexity, client needs, scalability, and caching

• Recommend how rate limiting and monitoring would be handled

Key Takeaways

• APIs are contracts, design with clarity and forward-compatibility

• REST is reliable and well-supported; GraphQL adds flexibility for complex data

• Use API Gateways for control and protection

• gRPC and message queues support low-latency and async communication

• Event-driven architecture is essential for scalable, resilient systems

Next Up → Chapter 7: Security Architecture & Best Practices

Now that your systems talk to each other, it’s time to secure them. In the next chapter, we’ll focus on authentication, encryption, threat modeling, and designing systems that are safe by default.

Course is powered by Techvalens

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