Part 1: Introduction to REST APIs and HTTP Fundamentals

My Journey into REST APIs

Five years ago, I built my first microserviceβ€”a simple user management system. I thought creating APIs meant "just return JSON from endpoints." My first production API had no structure: endpoints like /getUserData, /update_user_info, and /deleteUserRecord mixed conventions. Response formats variedβ€”sometimes {data: {...}}, sometimes just {...}. HTTP status codes? Everything returned 200, even errors.

When the team grew to 5 developers, chaos ensued. Nobody could predict endpoint behavior. Integration took hours of debugging. That's when I learned REST principles aren't optionalβ€”they're essential for building maintainable, scalable APIs.

This series documents what I learned building production REST APIs that now handle millions of requests daily.

What is REST?

REST (Representational State Transfer) is an architectural style for designing networked applications. Created by Roy Fielding in his 2000 doctoral dissertation, REST defines principles for creating scalable web services.

Key Concept: Resources

In REST, everything is a resourceβ€”an entity or object in your system. Resources are identified by URLs and manipulated using standard HTTP methods.

Examples from my e-commerce microservices:

  • User: /api/users/123

  • Product: /api/products/456

  • Order: /api/orders/789

  • Cart: /api/carts/user-123

HTTP Fundamentals

Before diving into REST, you need to understand HTTPβ€”the protocol REST builds upon.

HTTP Methods (Verbs)

From my production APIs, here's how I use each HTTP method:

1. GET - Retrieve Data

Characteristics:

  • Safe: Doesn't modify data

  • Idempotent: Multiple identical requests produce same result

  • Cacheable: Responses can be cached

2. POST - Create New Resource

Characteristics:

  • Not safe: Modifies data

  • Not idempotent: Multiple requests create multiple resources

  • Returns 201 Created on success

3. PUT - Replace Entire Resource

Characteristics:

  • Not safe: Modifies data

  • Idempotent: Multiple identical requests produce same result

  • Replaces entire resource

4. PATCH - Partial Update

Real usage from my inventory service:

Characteristics:

  • Not safe: Modifies data

  • Idempotent: Multiple identical requests produce same result

  • Updates only specified fields

5. DELETE - Remove Resource

Characteristics:

  • Not safe: Modifies data

  • Idempotent: Multiple requests produce same result (resource stays deleted)

  • Returns 204 No Content or 200 OK

HTTP Status Codes

From managing production APIs, these are the codes I use most:

2xx Success

4xx Client Errors

Real example from my user service:

5xx Server Errors

Global error handler from my production setup:

HTTP Headers

Headers I use in every production API:

Request headers I check:

What Makes an API RESTful?

REST has six architectural constraints. Here's how I implement them:

1. Client-Server Architecture

Separation of concerns: Frontend (client) is separate from backend (server).

2. Stateless

Each request contains all information neededβ€”no session stored on server.

3. Cacheable

Responses define whether they can be cached.

4. Uniform Interface

Consistent resource identification and manipulation.

5. Layered System

Client can't tell if connected to end server or intermediary.

6. Code on Demand (Optional)

Server can send executable code to client.

REST API Pros and Cons

From 5 years building production REST APIs:

Pros βœ…

1. Simplicity and Familiarity

2. Stateless = Scalable

3. Cacheable

4. Tooling

5. Standard HTTP Methods

Cons ❌

1. Over-fetching

2. Under-fetching (N+1 Problem)

My solution:

3. No Real-time Updates

4. Versioning Challenges

5. Limited Query Capabilities

Common REST API Use Cases

From my production experience:

1. Mobile Apps

2. Web Applications

3. Microservices Communication

4. Public APIs

5. IoT Devices

Key Takeaways

  1. REST uses HTTP methods (GET, POST, PUT, PATCH, DELETE) to manipulate resources

  2. Resources are identified by URLs (/api/users/123)

  3. HTTP status codes communicate operation results (200, 201, 400, 404, 500)

  4. Stateless design enables scalability

  5. Cacheable responses improve performance

Pros: Simple, scalable, cacheable, universal tooling Cons: Over/under-fetching, no real-time, versioning challenges

Best for: CRUD operations, mobile/web apps, microservices, public APIs

Next in series: RESTful Design Principles and Best Practicesβ€”learn how to design clean, maintainable REST APIs.


Understanding HTTP fundamentals is crucial before building REST APIs. Master these basics, and you'll build better APIs.

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