π REST API: Deep Dive & Best Practices
Concise, clear, and validated revision notes on REST API β practical best practices for beginners and practitioners.
Table of Contents
- π Introduction
- ποΈ REST Architectural Constraints
- π Richardson Maturity Model
- π€ HTTP Methods and Status Codes
- π― REST API Design Best Practices
- 1. Use Nouns for Resources, Not Verbs
- 2. Use Plural Nouns for Collections
- 3. Use Hierarchical Structure for Relationships
- 4. Use Query Parameters for Filtering, Sorting, and Pagination
- 5. Use Consistent Naming Conventions
- 6. Provide Filtering for Sub-Resources
- 7. Use Standard HTTP Methods Correctly
- 8. Accept and Respond with JSON
- 9. Handle Errors Gracefully
- 10. Use Proper MIME Types
- π REST API Security
- π API Versioning
- π API Documentation
- π¨ API Design Patterns
- π API Lifecycle Terminology Tables
- π Complete REST API Implementation Example
- π§ͺ Testing REST APIs
- π Performance Optimization
- π API Monitoring and Analytics
- π― REST API Best Practices Summary
- π Additional Resources and Tools
- π Learning Path and Next Steps
- π― Conclusion
- π References
π Introduction
REST (Representational State Transfer) has become the de facto standard for designing web APIs in modern software development. Understanding REST principles, architectural constraints, and best practices is crucial for building scalable, maintainable, and developer-friendly APIs.
This comprehensive guide covers everything from fundamental concepts to advanced implementation techniques, providing both theoretical knowledge and practical insights for mastering REST API design.
What is REST?
REST is an architectural style for designing networked applications, introduced by Roy Fielding in his doctoral dissertation in 2000. It provides a set of constraints and principles that, when followed, enable the creation of scalable, stateless, and loosely coupled web services.
Key Point: REST is not a protocol or standardβitβs an architectural style. During development, REST can be implemented in various ways while adhering to its core principles.
Why REST?
REST APIs have gained widespread adoption due to several compelling advantages:
- Language Agnostic: Works with any programming language that supports HTTP
- Stateless Communication: Each request contains all necessary information
- Cacheable Responses: Built-in support for HTTP caching mechanisms
- Scalability: Stateless nature enables horizontal scaling
- Simplicity: Leverages standard HTTP methods and status codes
- Platform Independence: Client and server can evolve independently
ποΈ REST Architectural Constraints
Roy Fielding defined six architectural constraints that characterize a RESTful system. Following these constraints ensures desirable non-functional properties such as performance, scalability, simplicity, modifiability, visibility, portability, and reliability.
1. Client-Server Architecture
Principle: Separation of concerns between the client and server.
The client-server constraint mandates that the user interface concerns are separated from data storage concerns. This separation:
- Improves Portability: The user interface can work across multiple platforms
- Enhances Scalability: Server components can scale independently
- Enables Independent Evolution: Client and server can be developed and deployed independently
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βββββββββββ βββββββββββ
β Client β ββββ HTTP βββββββββΊ β Server β
β (UI) β β (API) β
βββββββββββ βββββββββββ
Example:
- Client: React single-page application
- Server: Node.js REST API
- They communicate via HTTP, but can be updated independently
2. Statelessness
Principle: Each request from client to server must contain all necessary information.
The server should not store any client context between requests. Session state is kept entirely on the client side.
Characteristics:
- Server treats each request independently
- No session information stored on the server
- Request contains all information needed for processing
- Scalability improves as servers donβt manage session state
Example Request (Stateless):
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GET /api/users/123/orders HTTP/1.1
Host: api.example.com
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
Accept: application/json
Advantage: Any server can handle any request, enabling seamless load balancing and horizontal scaling.
3. Cacheable
Principle: Responses must explicitly indicate whether they can be cached.
REST allows responses to define themselves as cacheable or non-cacheable, enabling clients to reuse response data for equivalent requests within a specified period.
Cache-Control Headers:
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# Cacheable for 1 hour
Cache-Control: public, max-age=3600
# Not cacheable
Cache-Control: no-cache, no-store, must-revalidate
# Private cache (user-specific)
Cache-Control: private, max-age=600
Benefits:
- Reduces server load
- Improves response times
- Decreases bandwidth usage
- Partially or completely eliminates some client-server interactions
4. Uniform Interface
Principle: A consistent, standardized way of interacting with resources.
The uniform interface constraint is fundamental to REST design and simplifies the overall system architecture by improving the visibility of interactions. This constraint is achieved through four sub-constraints:
4.1 Resource Identification in Requests
Each resource must be uniquely identified in requests using URIs (Uniform Resource Identifiers).
Examples:
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https://api.example.com/users/123
https://api.example.com/products/456
https://api.example.com/orders/789/items
4.2 Manipulation Through Representations
Resources should have uniform representations (JSON, XML, etc.) that contain enough information to modify the resource state on the server.
Example JSON Representation:
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{
"id": 123,
"name": "John Doe",
"email": "john@example.com",
"role": "admin"
}
4.3 Self-Descriptive Messages
Each resource representation should carry enough information to describe how to process the message and provide information on additional actions the client can perform.
Example:
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HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 142
ETag: "33a64df551425fcc55e4d42a148795d9f25f89d4"
Last-Modified: Wed, 15 Nov 2025 12:45:26 GMT
{
"id": 123,
"name": "John Doe",
"email": "john@example.com"
}
4.4 HATEOAS (Hypermedia as the Engine of Application State)
The client should have only the initial URI and should dynamically drive all other resources and interactions through hyperlinks provided in responses.
Example with HATEOAS:
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{
"id": 123,
"name": "John Doe",
"email": "john@example.com",
"_links": {
"self": {"href": "/users/123"},
"orders": {"href": "/users/123/orders"},
"edit": {"href": "/users/123", "method": "PUT"},
"delete": {"href": "/users/123", "method": "DELETE"}
}
}
5. Layered System
Principle: Architecture composed of hierarchical layers.
Each component cannot see beyond the immediate layer with which it is interacting. A client cannot ordinarily tell whether it is connected directly to the end server or to an intermediary.
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ββββββββββββ ββββββββββββ ββββββββββββ ββββββββββββ
β Client βββββΊβ Load βββββΊβ API βββββΊβ Database β
β β β Balancer β β Server β β β
ββββββββββββ ββββββββββββ ββββββββββββ ββββββββββββ
Benefits:
- Improved security through layer isolation
- Load balancing capabilities
- Shared caching at intermediary layers
- Legacy system encapsulation
Example Layers:
- Authentication Server
- API Gateway
- Application Server
- Database Server
- Caching Layer
6. Code on Demand (Optional)
Principle: Servers can temporarily extend client functionality by transferring executable code.
This is the only optional constraint. Servers can send executable code (JavaScript, applets) to clients.
Example:
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{
"widget": {
"type": "chart",
"script": "https://cdn.example.com/chart-widget.js",
"config": {
"data": [10, 20, 30, 40]
}
}
}
Note: This constraint is rarely used in modern REST APIs due to security concerns and increased complexity.
π Richardson Maturity Model
The Richardson Maturity Model (RMM), developed by Leonard Richardson, provides a framework for evaluating the maturity of web services in terms of their adherence to RESTful principles. It consists of four levels (0-3), with each higher level representing more complete adherence to REST design.
graph TD
A[Level 0: The Swamp of POX] --> B[Level 1: Resources]
B --> C[Level 2: HTTP Verbs]
C --> D[Level 3: Hypermedia Controls]
style A fill:#ff6b6b
style B fill:#ffd93d
style C fill:#6bcf7f
style D fill:#4d96ff
Level 0: The Swamp of POX (Plain Old XML)
Level zero represents the most basic form of service-oriented applications, using a single URI and a single HTTP method (typically POST).
Characteristics:
- Single endpoint for all operations
- HTTP used only as transport mechanism
- Operation details in request body
- Similar to SOAP and XML-RPC
Example:
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POST /api HTTP/1.1
Content-Type: application/json
{
"action": "getUserDetails",
"userId": 123
}
Level 1: Resources
Level one introduces resources and allows requests for individual URIs instead of exposing one universal endpoint.
Characteristics:
- Multiple resource-specific URIs
- Still primarily uses POST
- Resources have unique identifiers
- Better organization than Level 0
Example:
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POST /users/123 HTTP/1.1
Content-Type: application/json
{
"action": "getDetails"
}
Level 2: HTTP Verbs
Level 2 introduces using HTTP verbs and HTTP response codes correctly, which is the most popular implementation of REST principles.
Characteristics:
- Proper use of HTTP methods (GET, POST, PUT, DELETE, PATCH)
- Meaningful HTTP status codes
- Multiple resources with appropriate verbs
- Standard HTTP conventions
Example:
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GET /users/123 HTTP/1.1
Accept: application/json
HTTP/1.1 200 OK
Content-Type: application/json
{
"id": 123,
"name": "John Doe"
}
| HTTP Method | Operation | Example |
|---|---|---|
| GET | Retrieve | GET /users/123 |
| POST | Create | POST /users |
| PUT | Update/Replace | PUT /users/123 |
| PATCH | Partial Update | PATCH /users/123 |
| DELETE | Remove | DELETE /users/123 |
Level 3: Hypermedia Controls (HATEOAS)
Level three represents the pinnacle of RESTful maturity, fully embracing URIs, HTTP methods, and HATEOAS.
Characteristics:
- Responses include hypermedia links
- Clients discover actions dynamically
- Self-descriptive API
- True RESTful implementation
Example:
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{
"id": 123,
"name": "John Doe",
"email": "john@example.com",
"status": "active",
"_links": {
"self": {
"href": "/users/123"
},
"orders": {
"href": "/users/123/orders"
},
"deactivate": {
"href": "/users/123/deactivate",
"method": "POST"
},
"update": {
"href": "/users/123",
"method": "PUT"
}
}
}
Benefits of Level 3:
- Reduced coupling between client and server
- API evolution without breaking clients
- Improved discoverability
- Self-documenting capabilities
Reality Check: While Level 3 is theoretically ideal, most production APIs operate at Level 2. Level 3 requires significant implementation effort and isnβt always necessary for practical applications.
π€ HTTP Methods and Status Codes
HTTP Methods (Verbs)
REST APIs use HTTP methods to indicate the action to be performed on resources. Understanding proper usage is crucial for RESTful design.
GET - Retrieve Resource
Purpose: Retrieve resource representation without modifying it.
Properties:
- Safe: Does not modify server state
- Idempotent: Multiple identical requests have the same effect
- Cacheable: Responses can be cached
Examples:
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# Get all users
GET /api/users HTTP/1.1
# Get specific user
GET /api/users/123 HTTP/1.1
# Get with query parameters
GET /api/users?role=admin&status=active HTTP/1.1
Response:
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HTTP/1.1 200 OK
Content-Type: application/json
{
"users": [
{"id": 123, "name": "John Doe"},
{"id": 124, "name": "Jane Smith"}
],
"total": 2,
"page": 1
}
POST - Create Resource
Purpose: Create a new resource.
Properties:
- Not Safe: Modifies server state
- Not Idempotent: Multiple requests create multiple resources
- Not Cacheable: Responses typically not cached
Examples:
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POST /api/users HTTP/1.1
Content-Type: application/json
{
"name": "Alice Johnson",
"email": "alice@example.com",
"role": "user"
}
Response:
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HTTP/1.1 201 Created
Location: /api/users/125
Content-Type: application/json
{
"id": 125,
"name": "Alice Johnson",
"email": "alice@example.com",
"role": "user",
"createdAt": "2025-11-17T10:30:00Z"
}
PUT - Update/Replace Resource
Purpose: Replace entire resource or create if doesnβt exist.
Properties:
- Not Safe: Modifies server state
- Idempotent: Multiple identical requests have same effect
- Not Cacheable: Responses not cached
Examples:
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PUT /api/users/123 HTTP/1.1
Content-Type: application/json
{
"name": "John Updated",
"email": "john.new@example.com",
"role": "admin"
}
Response:
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HTTP/1.1 200 OK
Content-Type: application/json
{
"id": 123,
"name": "John Updated",
"email": "john.new@example.com",
"role": "admin",
"updatedAt": "2025-11-17T10:35:00Z"
}
PATCH - Partial Update
Purpose: Partially update a resource.
Properties:
- Not Safe: Modifies server state
- Not Idempotent: Depends on implementation
- Not Cacheable: Responses not cached
Examples:
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PATCH /api/users/123 HTTP/1.1
Content-Type: application/json
{
"email": "john.new2@example.com"
}
Response:
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HTTP/1.1 200 OK
Content-Type: application/json
{
"id": 123,
"name": "John Updated",
"email": "john.new2@example.com",
"role": "admin",
"updatedAt": "2025-11-17T10:40:00Z"
}
DELETE - Remove Resource
Purpose: Delete a resource.
Properties:
- Not Safe: Modifies server state
- Idempotent: Multiple identical requests have same effect
- Not Cacheable: Responses not cached
Examples:
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DELETE /api/users/123 HTTP/1.1
Response:
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HTTP/1.1 204 No Content
HTTP Status Codes
HTTP status codes provide a standardized way for the server to communicate the outcome of a request to the client.
2xx Success Codes
| Code | Name | Usage |
|---|---|---|
| 200 | OK | Successful GET, PUT, PATCH request with response body |
| 201 | Created | Successful POST request creating new resource |
| 202 | Accepted | Request accepted for processing (async operations) |
| 204 | No Content | Successful operation with no response body (DELETE) |
| 206 | Partial Content | Partial GET request (range requests) |
Examples:
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# 200 OK
HTTP/1.1 200 OK
Content-Type: application/json
{"id": 123, "name": "John"}
# 201 Created
HTTP/1.1 201 Created
Location: /api/users/125
Content-Type: application/json
{"id": 125, "name": "Alice"}
# 204 No Content
HTTP/1.1 204 No Content
3xx Redirection Codes
| Code | Name | Usage |
|---|---|---|
| 301 | Moved Permanently | Resource permanently moved to new URI |
| 302 | Found | Temporary redirect |
| 304 | Not Modified | Cached version still valid (conditional GET) |
4xx Client Error Codes
4xx status codes indicate that the client made an error in the request.
| Code | Name | Usage |
|---|---|---|
| 400 | Bad Request | Malformed request syntax or invalid parameters |
| 401 | Unauthorized | Authentication required or failed |
| 403 | Forbidden | Authenticated but not authorized |
| 404 | Not Found | Resource does not exist |
| 405 | Method Not Allowed | HTTP method not supported for resource |
| 406 | Not Acceptable | Requested media type not supported |
| 409 | Conflict | Request conflicts with current state |
| 410 | Gone | Resource permanently deleted |
| 422 | Unprocessable Entity | Validation errors |
| 429 | Too Many Requests | Rate limit exceeded |
Error Response Example:
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{
"error": {
"code": "VALIDATION_ERROR",
"message": "Request validation failed",
"details": [
{
"field": "email",
"message": "Email address is not properly formatted"
},
{
"field": "age",
"message": "Age must be a positive integer"
}
],
"timestamp": "2025-11-17T10:45:00Z",
"path": "/api/users"
}
}
5xx Server Error Codes
5xx status codes indicate that something went wrong on the server side.
| Code | Name | Usage |
|---|---|---|
| 500 | Internal Server Error | Generic server error |
| 501 | Not Implemented | Server doesnβt support requested functionality |
| 502 | Bad Gateway | Invalid response from upstream server |
| 503 | Service Unavailable | Server temporarily unavailable |
| 504 | Gateway Timeout | Upstream server timeout |
π― REST API Design Best Practices
1. Use Nouns for Resources, Not Verbs
In RESTful API design, itβs recommended to use nouns instead of verbs in endpoints, with HTTP methods indicating the action.
Good:
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GET /users
POST /users
GET /users/123
PUT /users/123
DELETE /users/123
Bad:
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GET /getUsers
POST /createUser
GET /getUserById/123
POST /updateUser/123
POST /deleteUser/123
2. Use Plural Nouns for Collections
Use plural nouns to represent collections of resources.
Good:
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/users
/products
/orders
Bad:
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/user
/product
/order
3. Use Hierarchical Structure for Relationships
Design endpoints to reflect resource relationships through URI structure.
Examples:
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# User's orders
GET /users/123/orders
# Specific order of a user
GET /users/123/orders/456
# Comments on a blog post
GET /posts/789/comments
# Specific comment
GET /posts/789/comments/101
4. Use Query Parameters for Filtering, Sorting, and Pagination
Filtering:
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GET /users?role=admin
GET /products?category=electronics&price_min=100&price_max=500
GET /orders?status=pending&created_after=2025-11-01
Sorting:
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GET /users?sort=name
GET /users?sort=-created_at # Descending
GET /products?sort=price,name # Multiple fields
Pagination:
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# Offset-based
GET /users?limit=20&offset=40
# Page-based
GET /users?page=3&per_page=20
# Cursor-based (recommended for large datasets)
GET /users?cursor=eyJpZCI6MTIzfQ==&limit=20
Response with Pagination:
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{
"data": [
{"id": 123, "name": "John"},
{"id": 124, "name": "Jane"}
],
"pagination": {
"total": 1000,
"page": 3,
"per_page": 20,
"total_pages": 50,
"next": "/users?page=4&per_page=20",
"prev": "/users?page=2&per_page=20"
}
}
5. Use Consistent Naming Conventions
URL Conventions:
- Use lowercase letters
- Use hyphens (-) for readability, not underscores
- Keep URLs short and intuitive
Good:
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/api/v1/user-profiles
/api/v1/shopping-carts
/api/v1/payment-methods
Bad:
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/api/v1/user_profiles
/api/v1/UserProfiles
/api/v1/shoppingCarts
6. Provide Filtering for Sub-Resources
Avoid deep nesting (more than 2-3 levels):
Instead of:
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/authors/123/books/456/chapters/789/paragraphs/101
Use:
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/paragraphs/101?book_id=456&chapter_id=789
7. Use Standard HTTP Methods Correctly
Method Safety and Idempotency:
| Method | Safe | Idempotent | Cacheable |
|---|---|---|---|
| GET | β | β | β |
| POST | β | β | β |
| PUT | β | β | β |
| PATCH | β | β* | β |
| DELETE | β | β | β |
*PATCH can be idempotent depending on implementation
8. Accept and Respond with JSON
JSON is the standard for transferring data, as almost every networked technology can use it.
Request:
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POST /api/users HTTP/1.1
Content-Type: application/json
Accept: application/json
{
"name": "John Doe",
"email": "john@example.com"
}
Response:
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HTTP/1.1 201 Created
Content-Type: application/json
{
"id": 123,
"name": "John Doe",
"email": "john@example.com",
"created_at": "2025-11-17T10:00:00Z"
}
9. Handle Errors Gracefully
When the API does not successfully complete, we should fail gracefully by sending an error with information to help users make corrective action.
Error Response Structure:
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{
"error": {
"status": 400,
"code": "VALIDATION_ERROR",
"message": "Request validation failed",
"details": [
{
"field": "email",
"code": "INVALID_FORMAT",
"message": "Email address is not properly formatted"
}
],
"timestamp": "2025-11-17T10:50:00Z",
"path": "/api/users",
"request_id": "550e8400-e29b-41d4-a716-446655440000"
}
}
10. Use Proper MIME Types
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Content-Type: application/json
Content-Type: application/xml
Content-Type: application/pdf
Content-Type: text/html
Content-Type: image/png
π REST API Security
Security is paramount in API design. REST APIs must implement multiple layers of protection.
Authentication vs Authorization
Authentication: Verifies βWho are you?β
Authorization: Determines βWhat can you do?β
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ββββββββββββββββββ
β Authentication β β Who is the user?
ββββββββββββββββββ
β
ββββββββββββββββββ
β Authorization β β What can they access?
ββββββββββββββββββ
Authentication Methods
1. Basic Authentication
Basic Authentication relies on a username and password combination sent through HTTP headers, encoded in Base64.
How it Works:
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GET /api/users HTTP/1.1
Host: api.example.com
Authorization: Basic dXNlcm5hbWU6cGFzc3dvcmQ=
Encoding:
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Base64("username:password") = "dXNlcm5hbWU6cGFzc3dvcmQ="
Pros:
- Simple to implement
- Supported by all HTTP clients
- Suitable for testing/development
Cons:
- Credentials sent with every request
- Not secure without HTTPS
- No built-in expiration mechanism
Warning: Basic Authentication should ONLY be used over HTTPS and is not recommended for production APIs.
2. API Keys
How it Works:
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GET /api/users HTTP/1.1
Host: api.example.com
X-API-Key: 7f8d9e2b-4c5a-6e1d-9a8f-3b4c5a6e7d8f
or as query parameter:
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GET /api/users?api_key=7f8d9e2b-4c5a-6e1d-9a8f-3b4c5a6e7d8f
Best Practices:
- Use header-based keys (more secure than query parameters)
- Rotate keys regularly
- Use different keys for different environments
- Implement rate limiting per API key
- Store keys securely (never in source code)
Pros:
- Simple to implement
- Easy to revoke
- Good for server-to-server communication
Cons:
- Static credentials (no expiration)
- If compromised, affects all requests
- Limited granular permissions
3. JWT (JSON Web Tokens)
JWTs are an open, standard way to represent user identity securely during two-party interactions.
JWT Structure:
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eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
Components:
- Header (Algorithm & Token Type)
- Payload (Claims/Data)
- Signature (Verification)
Header:
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{
"alg": "HS256",
"typ": "JWT"
}
Payload:
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{
"sub": "1234567890",
"name": "John Doe",
"role": "admin",
"iat": 1516239022,
"exp": 1516242622
}
Usage:
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GET /api/users HTTP/1.1
Host: api.example.com
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
Implementation Example:
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// Generate JWT
const jwt = require('jsonwebtoken');
const token = jwt.sign(
{
sub: user.id,
email: user.email,
role: user.role
},
process.env.JWT_SECRET,
{ expiresIn: '1h' }
);
// Verify JWT
const decoded = jwt.verify(token, process.env.JWT_SECRET);
Pros:
- Stateless authentication
- Contains user information
- Can include expiration
- Self-contained
- Works across different domains
Cons:
- Larger than simple tokens
- Cannot be revoked before expiration
- Payload is readable (Base64 encoded, not encrypted)
4. OAuth 2.0
OAuth 2.0 is a widely adopted authorization framework that allows users to grant limited access to resources without exposing their credentials.
OAuth 2.0 Flow (Authorization Code):
sequenceDiagram
participant User
participant Client
participant AuthServer
participant ResourceServer
User->>Client: 1. Request resource
Client->>AuthServer: 2. Redirect to authorization
User->>AuthServer: 3. Login & grant permission
AuthServer->>Client: 4. Authorization code
Client->>AuthServer: 5. Exchange code for token
AuthServer->>Client: 6. Access token
Client->>ResourceServer: 7. Request with token
ResourceServer->>Client: 8. Protected resource
Grant Types:
- Authorization Code: For web/mobile apps with backend
- Client Credentials: For server-to-server communication
- Refresh Token: To obtain new access tokens
- Implicit (deprecated): For browser-based apps
Access Token Request:
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POST /oauth/token HTTP/1.1
Host: auth.example.com
Content-Type: application/x-www-form-urlencoded
grant_type=authorization_code&
code=AUTHORIZATION_CODE&
redirect_uri=https://client.example.com/callback&
client_id=CLIENT_ID&
client_secret=CLIENT_SECRET
Access Token Response:
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{
"access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...",
"token_type": "Bearer",
"expires_in": 3600,
"refresh_token": "tGzv3JOkF0XG5Qx2TlKWIA",
"scope": "read write"
}
Using Access Token:
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GET /api/users/me HTTP/1.1
Host: api.example.com
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
Pros:
- Industry standard
- Delegated authorization
- Granular scopes/permissions
- Secure token management
- Works with third-party services
Cons:
- Complex implementation
- Requires understanding of multiple flows
- Overhead for simple use cases
Authorization Strategies
Role-Based Access Control (RBAC)
Users are assigned roles, and roles have permissions.
Example:
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{
"user": {
"id": 123,
"email": "john@example.com",
"role": "admin"
},
"roles": {
"admin": ["read", "write", "delete", "manage_users"],
"editor": ["read", "write"],
"viewer": ["read"]
}
}
Implementation:
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function checkPermission(user, resource, action) {
const rolePermissions = {
'admin': ['read', 'write', 'delete', 'manage_users'],
'editor': ['read', 'write'],
'viewer': ['read']
};
const permissions = rolePermissions[user.role] || [];
return permissions.includes(action);
}
// Usage
if (!checkPermission(user, 'users', 'delete')) {
return res.status(403).json({
error: 'Forbidden: Insufficient permissions'
});
}
Attribute-Based Access Control (ABAC)
Access decisions based on attributes of user, resource, and environment.
Example:
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{
"user": {
"id": 123,
"department": "engineering",
"clearance_level": 3
},
"resource": {
"type": "document",
"classification": "confidential",
"department": "engineering"
},
"environment": {
"time": "09:00",
"location": "office",
"ip_trusted": true
}
}
Security Best Practices
1. Always Use HTTPS
Transport Layer Security (TLS) encrypts data in transit.
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HTTP β Port 80 β Unencrypted β
HTTPS β Port 443 β Encrypted β
Enforce HTTPS:
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// Express.js middleware
app.use((req, res, next) => {
if (!req.secure && req.get('x-forwarded-proto') !== 'https') {
return res.redirect('https://' + req.get('host') + req.url);
}
next();
});
2. Validate Input
Never trust client input. Always validate and sanitize.
Example Validation:
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const { body, validationResult } = require('express-validator');
app.post('/users',
body('email').isEmail().normalizeEmail(),
body('age').isInt({ min: 1, max: 120 }),
body('name').trim().isLength({ min: 1, max: 100 }),
(req, res) => {
const errors = validationResult(req);
if (!errors.isEmpty()) {
return res.status(400).json({ errors: errors.array() });
}
// Process valid data
}
);
3. Implement Rate Limiting
Protect against brute force and DDoS attacks.
Example with Express:
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const rateLimit = require('express-rate-limit');
const limiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // limit each IP to 100 requests per windowMs
message: 'Too many requests from this IP, please try again later.'
});
app.use('/api/', limiter);
Response Header:
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HTTP/1.1 429 Too Many Requests
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1700227200
Retry-After: 900
{
"error": "Rate limit exceeded. Try again in 15 minutes."
}
4. Use CORS Properly
Cross-Origin Resource Sharing controls which domains can access your API.
Example Configuration:
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const cors = require('cors');
const corsOptions = {
origin: ['https://example.com', 'https://app.example.com'],
methods: ['GET', 'POST', 'PUT', 'DELETE'],
allowedHeaders: ['Content-Type', 'Authorization'],
credentials: true,
maxAge: 86400 // 24 hours
};
app.use(cors(corsOptions));
5. Implement Security Headers
Recommended Headers:
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# Prevent clickjacking
X-Frame-Options: DENY
# Prevent MIME type sniffing
X-Content-Type-Options: nosniff
# Enable XSS protection
X-XSS-Protection: 1; mode=block
# Content Security Policy
Content-Security-Policy: default-src 'self'
# Strict Transport Security
Strict-Transport-Security: max-age=31536000; includeSubDomains
# Referrer Policy
Referrer-Policy: no-referrer-when-downgrade
Express Implementation:
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const helmet = require('helmet');
app.use(helmet());
6. Donβt Expose Sensitive Information
Bad:
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{
"error": "Database connection failed: Connection refused at 192.168.1.10:5432",
"stack": "Error: connect ECONNREFUSED 192.168.1.10:5432\n at TCPConnectWrap.afterConnect..."
}
Good:
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{
"error": {
"code": "SERVICE_UNAVAILABLE",
"message": "Service temporarily unavailable. Please try again later.",
"request_id": "550e8400-e29b-41d4-a716-446655440000"
}
}
7. SQL Injection Prevention
Bad (Vulnerable):
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const query = `SELECT * FROM users WHERE id = ${userId}`;
db.query(query);
Good (Parameterized):
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const query = 'SELECT * FROM users WHERE id = ?';
db.query(query, [userId]);
8. Implement Logging and Monitoring
What to Log:
- Authentication attempts (success/failure)
- Authorization failures
- Input validation failures
- Rate limit violations
- Error conditions
- Performance metrics
Example Log Entry:
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{
"timestamp": "2025-11-17T10:30:00Z",
"level": "INFO",
"event": "API_REQUEST",
"method": "POST",
"path": "/api/users",
"status": 201,
"duration_ms": 45,
"user_id": 123,
"ip": "203.0.113.42",
"user_agent": "Mozilla/5.0...",
"request_id": "550e8400-e29b-41d4-a716-446655440000"
}
π API Versioning
API versioning ensures backward compatibility while allowing evolution of your API.
Why Version Your API?
- Backward Compatibility: Old clients continue working
- Gradual Migration: Users can migrate at their own pace
- Breaking Changes: Introduce new features without disrupting existing integrations
- Clear Communication: Version indicates stability and compatibility
Versioning Strategies
1. URI Versioning (Most Common)
Version is part of the URL path.
Example:
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https://api.example.com/v1/users
https://api.example.com/v2/users
https://api.example.com/v3/users
Pros:
- Clear and explicit
- Easy to route
- Browser-friendly
- Easy to test different versions
Cons:
- Clutters URI space
- Requires separate documentation per version
Implementation (Express):
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// v1 routes
app.use('/api/v1/users', require('./routes/v1/users'));
// v2 routes
app.use('/api/v2/users', require('./routes/v2/users'));
2. Header Versioning
Version specified in request header.
Example:
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GET /api/users HTTP/1.1
Host: api.example.com
Accept: application/vnd.example.v2+json
or custom header:
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GET /api/users HTTP/1.1
Host: api.example.com
API-Version: 2
Pros:
- Clean URIs
- Flexible versioning
- Follows REST principles
Cons:
- Less visible
- Harder to test in browser
- Requires custom headers
Implementation:
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app.use((req, res, next) => {
const version = req.headers['api-version'] || '1';
req.apiVersion = version;
next();
});
app.get('/api/users', (req, res) => {
if (req.apiVersion === '2') {
// v2 logic
} else {
// v1 logic
}
});
3. Query Parameter Versioning
Example:
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https://api.example.com/users?version=2
https://api.example.com/users?v=2
Pros:
- Easy to implement
- Simple to test
Cons:
- Pollutes query parameters
- Can conflict with other parameters
- Not RESTful
4. Content Negotiation Versioning
Uses Accept header with custom media types.
Example:
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GET /api/users HTTP/1.1
Host: api.example.com
Accept: application/vnd.example.v2+json
Pros:
- Follows REST principles
- Clean URIs
- Standards-based
Cons:
- Complex to implement
- Harder for clients to use
- Less discoverable
Versioning Best Practices
- Start with v1: Begin versioning from the start
- Use Major Versions Only: v1, v2, v3 (not v1.2.3)
- Support Multiple Versions: Maintain at least 2 versions
- Deprecation Policy: Announce deprecation well in advance
- Documentation: Maintain docs for all supported versions
- Default Version: Have a sensible default when no version specified
- Version Response: Include version in response headers
Deprecation Header:
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HTTP/1.1 200 OK
Sunset: Sat, 31 Dec 2025 23:59:59 GMT
Deprecation: true
Link: <https://api.example.com/v2/users>; rel="successor-version"
{
"warning": "This API version will be deprecated on 2025-12-31. Please migrate to v2."
}
π API Documentation
Comprehensive documentation is crucial for API adoption and usability.
What to Document
- Authentication: How to authenticate
- Base URL: API endpoint
- Endpoints: Available resources
- Request Format: Headers, parameters, body
- Response Format: Structure and examples
- Error Codes: All possible errors
- Rate Limits: Throttling policies
- Versioning: How versions work
- Examples: Real-world use cases
- Changelog: Version history
OpenAPI Specification (formerly Swagger)
OpenAPI is the industry standard for describing REST APIs.
Example OpenAPI Specification:
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openapi: 3.0.0
info:
title: User Management API
description: API for managing users
version: 1.0.0
contact:
name: API Support
email: support@example.com
license:
name: MIT
url: https://opensource.org/licenses/MIT
servers:
- url: https://api.example.com/v1
description: Production server
- url: https://staging-api.example.com/v1
description: Staging server
paths:
/users:
get:
summary: Get all users
description: Retrieves a list of all users with pagination
tags:
- Users
parameters:
- name: page
in: query
description: Page number
required: false
schema:
type: integer
default: 1
- name: per_page
in: query
description: Items per page
required: false
schema:
type: integer
default: 20
maximum: 100
responses:
'200':
description: Successful response
content:
application/json:
schema:
type: object
properties:
data:
type: array
items:
$ref: '#/components/schemas/User'
pagination:
$ref: '#/components/schemas/Pagination'
'401':
$ref: '#/components/responses/UnauthorizedError'
security:
- bearerAuth: []
post:
summary: Create a new user
description: Creates a new user account
tags:
- Users
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/UserCreate'
responses:
'201':
description: User created successfully
content:
application/json:
schema:
$ref: '#/components/schemas/User'
'400':
$ref: '#/components/responses/BadRequestError'
'422':
$ref: '#/components/responses/ValidationError'
security:
- bearerAuth: []
/users/{userId}:
get:
summary: Get user by ID
description: Retrieves a specific user by their ID
tags:
- Users
parameters:
- name: userId
in: path
description: User ID
required: true
schema:
type: integer
responses:
'200':
description: Successful response
content:
application/json:
schema:
$ref: '#/components/schemas/User'
'404':
$ref: '#/components/responses/NotFoundError'
security:
- bearerAuth: []
components:
schemas:
User:
type: object
properties:
id:
type: integer
example: 123
name:
type: string
example: John Doe
email:
type: string
format: email
example: john@example.com
role:
type: string
enum: [admin, user, viewer]
example: user
created_at:
type: string
format: date-time
example: 2025-11-17T10:00:00Z
UserCreate:
type: object
required:
- name
- email
properties:
name:
type: string
minLength: 1
maxLength: 100
email:
type: string
format: email
role:
type: string
enum: [admin, user, viewer]
default: user
Pagination:
type: object
properties:
total:
type: integer
example: 1000
page:
type: integer
example: 1
per_page:
type: integer
example: 20
total_pages:
type: integer
example: 50
Error:
type: object
properties:
code:
type: string
example: VALIDATION_ERROR
message:
type: string
example: Request validation failed
details:
type: array
items:
type: object
responses:
UnauthorizedError:
description: Authentication required
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
NotFoundError:
description: Resource not found
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
BadRequestError:
description: Bad request
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
ValidationError:
description: Validation error
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
securitySchemes:
bearerAuth:
type: http
scheme: bearer
bearerFormat: JWT
Documentation Tools
Swagger UI
Automatically generates interactive documentation from OpenAPI specs.
Features:
- Interactive API explorer
- Try-it-out functionality
- Code generation
- Schema visualization
Implementation:
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const swaggerUi = require('swagger-ui-express');
const YAML = require('yamljs');
const swaggerDocument = YAML.load('./openapi.yaml');
app.use('/api-docs', swaggerUi.serve, swaggerUi.setup(swaggerDocument));
Postman
Popular API development tool with documentation features.
Features:
- Request collections
- Environment variables
- Automated testing
- Public documentation
- Code snippets
ReDoc
Alternative to Swagger UI with a cleaner interface.
Features:
- Responsive three-panel design
- Search functionality
- Deep linking
- No dependencies
Implementation:
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<!DOCTYPE html>
<html>
<head>
<title>API Documentation</title>
<meta charset="utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="https://fonts.googleapis.com/css?family=Montserrat:300,400,700|Roboto:300,400,700" rel="stylesheet">
</head>
<body>
<redoc spec-url='openapi.yaml'></redoc>
<script src="https://cdn.jsdelivr.net/npm/redoc@latest/bundles/redoc.standalone.js"></script>
</body>
</html>
π¨ API Design Patterns
1. Pagination Patterns
Offset-Based Pagination
Request:
1
GET /users?limit=20&offset=40
Response:
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{
"data": [...],
"pagination": {
"limit": 20,
"offset": 40,
"total": 1000
}
}
Pros:
- Simple to implement
- Jump to any page
- SQL-friendly (LIMIT/OFFSET)
Cons:
- Performance degrades with large offsets
- Inconsistent results if data changes
- Not suitable for real-time data
Cursor-Based Pagination
Request:
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GET /users?cursor=eyJpZCI6MTIzfQ==&limit=20
Response:
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{
"data": [...],
"pagination": {
"next_cursor": "eyJpZCI6MTQzfQ==",
"has_more": true
}
}
Pros:
- Consistent results
- Better performance
- Handles real-time data
- No duplication or skipping
Cons:
- Cannot jump to specific page
- More complex to implement
- Cursor must be opaque
Page-Based Pagination
Request:
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GET /users?page=3&per_page=20
Response:
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{
"data": [...],
"pagination": {
"page": 3,
"per_page": 20,
"total_pages": 50,
"total_items": 1000
}
}
2. Filtering and Searching
Simple Filtering
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GET /products?category=electronics&price_min=100&price_max=500
GET /users?status=active&role=admin
Advanced Filtering (Query Language)
Using RSQL:
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GET /products?filter=category==electronics;price>100;price<500
GET /users?filter=status==active,role==admin
Using JSON Filter:
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GET /products?filter={"category":"electronics","price":{"$gt":100,"$lt":500}}
Full-Text Search
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GET /products?q=laptop&fields=name,description
GET /articles?search=rest+api&fuzzy=true
3. Sorting
Single Field:
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GET /users?sort=name
GET /users?sort=-created_at # Descending
Multiple Fields:
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GET /users?sort=role,name
GET /users?sort=-created_at,name
4. Field Selection (Sparse Fieldsets)
Allow clients to request only needed fields.
Request:
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GET /users?fields=id,name,email
Response:
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{
"data": [
{
"id": 123,
"name": "John Doe",
"email": "john@example.com"
}
]
}
5. Resource Expansion
Allow clients to include related resources.
Request:
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GET /users/123?expand=orders,profile
Response:
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{
"id": 123,
"name": "John Doe",
"orders": [
{"id": 456, "total": 99.99},
{"id": 457, "total": 149.99}
],
"profile": {
"bio": "Software developer",
"avatar": "https://example.com/avatar.jpg"
}
}
6. Bulk Operations
Bulk Create
Request:
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POST /users/bulk HTTP/1.1
Content-Type: application/json
{
"users": [
{"name": "User 1", "email": "user1@example.com"},
{"name": "User 2", "email": "user2@example.com"}
]
}
Response:
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{
"created": 2,
"results": [
{"id": 123, "status": "created"},
{"id": 124, "status": "created"}
]
}
Bulk Update
Request:
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PATCH /users/bulk HTTP/1.1
Content-Type: application/json
{
"updates": [
{"id": 123, "status": "active"},
{"id": 124, "status": "inactive"}
]
}
7. Async Operations
For long-running operations, use async pattern.
Initial Request:
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POST /reports/generate HTTP/1.1
Content-Type: application/json
{
"type": "sales",
"date_range": "2025-01-01/2025-12-31"
}
Response:
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HTTP/1.1 202 Accepted
Location: /reports/jobs/abc123
{
"job_id": "abc123",
"status": "pending",
"created_at": "2025-11-17T10:00:00Z"
}
Status Check:
1
GET /reports/jobs/abc123 HTTP/1.1
Response (In Progress):
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{
"job_id": "abc123",
"status": "processing",
"progress": 45,
"estimated_completion": "2025-11-17T10:05:00Z"
}
Response (Completed):
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{
"job_id": "abc123",
"status": "completed",
"result_url": "/reports/files/abc123.pdf",
"completed_at": "2025-11-17T10:04:30Z"
}
π API Lifecycle Terminology Tables
Table 1: Lifecycle Phases - Different Terminologies
This table shows how different organizations and standards refer to similar phases in the API lifecycle:
| Generic Term | Software Industry | RESTful Context | DevOps/Agile | Enterprise | Alternate Terms |
|---|---|---|---|---|---|
| Planning | Requirements Phase | API Design | Sprint Planning | Initiation | Ideation, Conception, Discovery |
| Design | Architecture Phase | Resource Modeling | Design Sprint | Analysis | Specification, Blueprint, Schema Design |
| Development | Implementation | Endpoint Creation | Development Sprint | Construction | Coding, Building, Engineering |
| Testing | QA Phase | API Testing | Testing Sprint | Verification | Quality Assurance, Validation |
| Documentation | Documentation Phase | API Docs | Documentation Sprint | Knowledge Transfer | Specification Writing, User Guides |
| Deployment | Release Phase | API Publication | Release Sprint | Rollout | Launch, Go-Live, Production Release |
| Monitoring | Operations Phase | API Analytics | Operations | Maintenance | Observability, Tracking, Surveillance |
| Versioning | Maintenance Phase | API Evolution | Iteration | Enhancement | Upgrades, Updates, Revisions |
| Deprecation | End-of-Life | API Sunset | Retirement Sprint | Decommission | Phase-out, Discontinuation |
| Security | Security Phase | Authentication/Authorization | Security Sprint | Compliance | Protection, Access Control |
Table 2: Hierarchical Differentiation of Lifecycle Stages
This table shows the hierarchical relationship between different levels of API lifecycle terminology:
| Level | Category | Subcategory | Specific Activity | Technical Implementation | Example |
|---|---|---|---|---|---|
| 1 | Strategy | Business Alignment | Use Case Definition | Requirements Gathering | Define βUser Management APIβ need |
| 1 | Strategy | Value Proposition | ROI Analysis | Cost-Benefit Analysis | Calculate development vs. benefits |
| Β | Β | Β | Β | Β | Β |
| 2 | Planning | API Design | Resource Identification | Entity Modeling | Define User, Order, Product entities |
| 2 | Planning | API Design | Endpoint Planning | URI Structure Design | /users, /orders, /products |
| 2 | Planning | Security Design | Auth Strategy | OAuth 2.0 vs JWT Decision | Choose JWT for stateless auth |
| 2 | Planning | Documentation Planning | Doc Tool Selection | OpenAPI Specification | Select Swagger/ReDoc |
| Β | Β | Β | Β | Β | Β |
| 3 | Development | Backend Development | Route Implementation | Express.js Routing | app.get('/users', handler) |
| 3 | Development | Backend Development | Business Logic | Controller Logic | User validation, DB operations |
| 3 | Development | Database Design | Schema Creation | Migration Scripts | Create users table with columns |
| 3 | Development | Middleware Development | Auth Middleware | JWT Verification | Token validation middleware |
| Β | Β | Β | Β | Β | Β |
| 4 | Testing | Unit Testing | Function Testing | Jest/Mocha Tests | Test individual functions |
| 4 | Testing | Integration Testing | API Testing | Postman/Newman | Test complete API flows |
| 4 | Testing | Security Testing | Penetration Testing | OWASP ZAP | Test for vulnerabilities |
| 4 | Testing | Load Testing | Performance Testing | Apache JMeter | Test under load |
| Β | Β | Β | Β | Β | Β |
| 5 | Documentation | API Reference | Endpoint Documentation | OpenAPI Spec | Document all endpoints |
| 5 | Documentation | User Guides | Integration Guide | Markdown Docs | How to integrate tutorial |
| 5 | Documentation | Code Examples | SDK/Client Examples | Code Snippets | Python, JS, cURL examples |
| Β | Β | Β | Β | Β | Β |
| 6 | Deployment | Environment Setup | Server Configuration | AWS/Azure/GCP Setup | Configure production servers |
| 6 | Deployment | CI/CD Pipeline | Automation | GitHub Actions/Jenkins | Automated deployment pipeline |
| 6 | Deployment | Container Deployment | Orchestration | Docker/Kubernetes | Deploy containers |
| 6 | Deployment | DNS Configuration | Routing | Route 53/Cloudflare | Setup api.example.com |
| Β | Β | Β | Β | Β | Β |
| 7 | Monitoring | Performance Monitoring | Metrics Collection | Prometheus/Grafana | Track response times, errors |
| 7 | Monitoring | Log Aggregation | Centralized Logging | ELK Stack/Splunk | Collect and analyze logs |
| 7 | Monitoring | Error Tracking | Exception Monitoring | Sentry/Rollbar | Track and alert on errors |
| 7 | Monitoring | Analytics | Usage Analytics | Google Analytics API | Track API usage patterns |
| Β | Β | Β | Β | Β | Β |
| 8 | Versioning | Version Planning | Breaking Changes | Semantic Versioning | Plan v1 β v2 migration |
| 8 | Versioning | Migration Strategy | Backward Compatibility | Dual-Version Support | Run v1 and v2 simultaneously |
| 8 | Versioning | Deprecation Notice | Communication | Email/Docs Update | Announce v1 deprecation |
| Β | Β | Β | Β | Β | Β |
| 9 | Maintenance | Bug Fixes | Issue Resolution | Hotfix Deployment | Fix critical bugs |
| 9 | Maintenance | Performance Optimization | Tuning | Database Indexing | Optimize slow queries |
| 9 | Maintenance | Security Patches | Updates | Dependency Updates | Update vulnerable packages |
| Β | Β | Β | Β | Β | Β |
| 10 | Deprecation | Sunset Planning | Timeline Definition | Deprecation Policy | 6-month sunset period |
| 10 | Deprecation | User Communication | Migration Support | Documentation Updates | Provide migration guide |
| 10 | Deprecation | Final Shutdown | Decommissioning | Server Shutdown | Turn off deprecated endpoints |
Table 3: Cross-Reference - Industry Standard Terminology
| REST API Context | SDLC Term | API Management Term | Microservices Term | Cloud-Native Term |
|---|---|---|---|---|
| Resource Design | Data Modeling | API Product Design | Service Design | Resource Provisioning |
| Endpoint Creation | Feature Development | API Implementation | Service Development | Function Development |
| Authentication | Security Implementation | API Security | Service Auth | Identity Management |
| Rate Limiting | Performance Control | API Throttling | Service Rate Limiting | Request Quotas |
| API Gateway | Entry Point | API Manager | Service Mesh Gateway | Ingress Controller |
| Documentation | Technical Writing | API Portal | Service Documentation | Developer Portal |
| Versioning | Release Management | API Lifecycle | Service Versioning | Release Strategy |
| Monitoring | Operations | API Analytics | Service Observability | Cloud Monitoring |
| Testing | Quality Assurance | API Testing | Service Testing | Integration Testing |
| Deployment | Release | API Publication | Service Deployment | Container Deployment |
π Complete REST API Implementation Example
Letβs build a complete REST API for a blog platform to demonstrate all concepts in practice.
Project Structure
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blog-api/
βββ src/
β βββ config/
β β βββ database.js
β β βββ env.js
β βββ middleware/
β β βββ auth.js
β β βββ errorHandler.js
β β βββ rateLimiter.js
β β βββ validator.js
β βββ models/
β β βββ User.js
β β βββ Post.js
β βββ routes/
β β βββ auth.js
β β βββ users.js
β β βββ posts.js
β βββ controllers/
β β βββ authController.js
β β βββ userController.js
β β βββ postController.js
β βββ services/
β β βββ authService.js
β β βββ postService.js
β βββ app.js
βββ tests/
β βββ unit/
β βββ integration/
βββ docs/
β βββ openapi.yaml
βββ .env
βββ .gitignore
βββ package.json
βββ README.md
Database Models
User Model:
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// src/models/User.js
const mongoose = require('mongoose');
const bcrypt = require('bcryptjs');
const userSchema = new mongoose.Schema({
name: {
type: String,
required: true,
trim: true,
minlength: 2,
maxlength: 100
},
email: {
type: String,
required: true,
unique: true,
lowercase: true,
trim: true,
match: /^[^\s@]+@[^\s@]+\.[^\s@]+$/
},
password: {
type: String,
required: true,
minlength: 8
},
role: {
type: String,
enum: ['user', 'admin'],
default: 'user'
},
isActive: {
type: Boolean,
default: true
},
createdAt: {
type: Date,
default: Date.now
},
updatedAt: {
type: Date,
default: Date.now
}
});
// Hash password before saving
userSchema.pre('save', async function(next) {
if (!this.isModified('password')) return next();
const salt = await bcrypt.genSalt(10);
this.password = await bcrypt.hash(this.password, salt);
next();
});
// Compare password method
userSchema.methods.comparePassword = async function(candidatePassword) {
return await bcrypt.compare(candidatePassword, this.password);
};
// Remove password from JSON output
userSchema.methods.toJSON = function() {
const obj = this.toObject();
delete obj.password;
return obj;
};
module.exports = mongoose.model('User', userSchema);
Post Model:
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// src/models/Post.js
const mongoose = require('mongoose');
const postSchema = new mongoose.Schema({
title: {
type: String,
required: true,
trim: true,
minlength: 5,
maxlength: 200
},
content: {
type: String,
required: true,
minlength: 10
},
author: {
type: mongoose.Schema.Types.ObjectId,
ref: 'User',
required: true
},
tags: [{
type: String,
trim: true
}],
status: {
type: String,
enum: ['draft', 'published', 'archived'],
default: 'draft'
},
publishedAt: {
type: Date
},
createdAt: {
type: Date,
default: Date.now
},
updatedAt: {
type: Date,
default: Date.now
}
});
// Update publishedAt when status changes to published
postSchema.pre('save', function(next) {
if (this.isModified('status') && this.status === 'published' && !this.publishedAt) {
this.publishedAt = new Date();
}
this.updatedAt = new Date();
next();
});
module.exports = mongoose.model('Post', postSchema);
Middleware Implementation
Authentication Middleware:
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// src/middleware/auth.js
const jwt = require('jsonwebtoken');
const User = require('../models/User');
exports.authenticate = async (req, res, next) => {
try {
// Get token from header
const authHeader = req.headers.authorization;
if (!authHeader || !authHeader.startsWith('Bearer ')) {
return res.status(401).json({
error: {
code: 'UNAUTHORIZED',
message: 'No token provided'
}
});
}
const token = authHeader.substring(7);
// Verify token
const decoded = jwt.verify(token, process.env.JWT_SECRET);
// Get user from database
const user = await User.findById(decoded.userId);
if (!user || !user.isActive) {
return res.status(401).json({
error: {
code: 'UNAUTHORIZED',
message: 'Invalid token'
}
});
}
// Attach user to request
req.user = user;
next();
} catch (error) {
if (error.name === 'JsonWebTokenError') {
return res.status(401).json({
error: {
code: 'UNAUTHORIZED',
message: 'Invalid token'
}
});
}
if (error.name === 'TokenExpiredError') {
return res.status(401).json({
error: {
code: 'TOKEN_EXPIRED',
message: 'Token has expired'
}
});
}
next(error);
}
};
exports.authorize = (...roles) => {
return (req, res, next) => {
if (!roles.includes(req.user.role)) {
return res.status(403).json({
error: {
code: 'FORBIDDEN',
message: 'Insufficient permissions'
}
});
}
next();
};
};
Error Handler Middleware:
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// src/middleware/errorHandler.js
exports.errorHandler = (err, req, res, next) => {
console.error(err);
// Mongoose validation error
if (err.name === 'ValidationError') {
const errors = Object.values(err.errors).map(e => ({
field: e.path,
message: e.message
}));
return res.status(422).json({
error: {
code: 'VALIDATION_ERROR',
message: 'Validation failed',
details: errors
}
});
}
// Mongoose duplicate key error
if (err.code === 11000) {
const field = Object.keys(err.keyPattern)[0];
return res.status(409).json({
error: {
code: 'DUPLICATE_ERROR',
message: `${field} already exists`
}
});
}
// Mongoose cast error (invalid ID)
if (err.name === 'CastError') {
return res.status(400).json({
error: {
code: 'INVALID_ID',
message: 'Invalid resource ID'
}
});
}
// Default error
res.status(err.statusCode || 500).json({
error: {
code: err.code || 'INTERNAL_SERVER_ERROR',
message: process.env.NODE_ENV === 'production'
? 'An unexpected error occurred'
: err.message
}
});
};
exports.notFound = (req, res) => {
res.status(404).json({
error: {
code: 'NOT_FOUND',
message: 'Resource not found'
}
});
};
Rate Limiter Middleware:
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// src/middleware/rateLimiter.js
const rateLimit = require('express-rate-limit');
exports.generalLimiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // limit each IP to 100 requests per windowMs
message: {
error: {
code: 'RATE_LIMIT_EXCEEDED',
message: 'Too many requests, please try again later'
}
},
standardHeaders: true,
legacyHeaders: false,
});
exports.authLimiter = rateLimit({
windowMs: 15 * 60 * 1000,
max: 5, // 5 login attempts per 15 minutes
skipSuccessfulRequests: true,
message: {
error: {
code: 'TOO_MANY_LOGIN_ATTEMPTS',
message: 'Too many login attempts, please try again later'
}
}
});
Validation Middleware:
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// src/middleware/validator.js
const { body, query, param, validationResult } = require('express-validator');
exports.validate = (validations) => {
return async (req, res, next) => {
await Promise.all(validations.map(validation => validation.run(req)));
const errors = validationResult(req);
if (errors.isEmpty()) {
return next();
}
res.status(422).json({
error: {
code: 'VALIDATION_ERROR',
message: 'Validation failed',
details: errors.array().map(err => ({
field: err.path,
message: err.msg
}))
}
});
};
};
// Common validations
exports.userValidations = {
register: [
body('name').trim().notEmpty().isLength({ min: 2, max: 100 }),
body('email').isEmail().normalizeEmail(),
body('password').isLength({ min: 8 }).matches(/^(?=.*[A-Za-z])(?=.*\d)[A-Za-z\d@$!%*#?&]/),
],
login: [
body('email').isEmail().normalizeEmail(),
body('password').notEmpty()
]
};
exports.postValidations = {
create: [
body('title').trim().notEmpty().isLength({ min: 5, max: 200 }),
body('content').trim().notEmpty().isLength({ min: 10 }),
body('tags').optional().isArray(),
body('status').optional().isIn(['draft', 'published', 'archived'])
],
update: [
body('title').optional().trim().isLength({ min: 5, max: 200 }),
body('content').optional().trim().isLength({ min: 10 }),
body('tags').optional().isArray(),
body('status').optional().isIn(['draft', 'published', 'archived'])
],
list: [
query('page').optional().isInt({ min: 1 }),
query('limit').optional().isInt({ min: 1, max: 100 }),
query('status').optional().isIn(['draft', 'published', 'archived']),
query('sort').optional().isIn(['createdAt', '-createdAt', 'title', '-title'])
]
};
Controllers
Auth Controller:
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// src/controllers/authController.js
const jwt = require('jsonwebtoken');
const User = require('../models/User');
exports.register = async (req, res, next) => {
try {
const { name, email, password } = req.body;
// Create user
const user = await User.create({ name, email, password });
// Generate token
const token = jwt.sign(
{ userId: user._id },
process.env.JWT_SECRET,
{ expiresIn: '7d' }
);
res.status(201).json({
user: user.toJSON(),
token,
expiresIn: '7d'
});
} catch (error) {
next(error);
}
};
exports.login = async (req, res, next) => {
try {
const { email, password } = req.body;
// Find user
const user = await User.findOne({ email });
if (!user || !user.isActive) {
return res.status(401).json({
error: {
code: 'INVALID_CREDENTIALS',
message: 'Invalid email or password'
}
});
}
// Check password
const isMatch = await user.comparePassword(password);
if (!isMatch) {
return res.status(401).json({
error: {
code: 'INVALID_CREDENTIALS',
message: 'Invalid email or password'
}
});
}
// Generate token
const token = jwt.sign(
{ userId: user._id },
process.env.JWT_SECRET,
{ expiresIn: '7d' }
);
res.json({
user: user.toJSON(),
token,
expiresIn: '7d'
});
} catch (error) {
next(error);
}
};
exports.getProfile = async (req, res) => {
res.json({
user: req.user.toJSON()
});
};
Post Controller:
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// src/controllers/postController.js
const Post = require('../models/Post');
exports.createPost = async (req, res, next) => {
try {
const { title, content, tags, status } = req.body;
const post = await Post.create({
title,
content,
tags,
status,
author: req.user._id
});
await post.populate('author', 'name email');
res.status(201).json({
post
});
} catch (error) {
next(error);
}
};
exports.getPosts = async (req, res, next) => {
try {
const {
page = 1,
limit = 20,
status,
sort = '-createdAt',
search
} = req.query;
// Build query
const query = {};
// Filter by status if provided
if (status) {
query.status = status;
}
// Only show published posts for non-authors
if (!req.user || req.user.role !== 'admin') {
if (!status) {
query.status = 'published';
}
}
// Search functionality
if (search) {
query.$or = [
{ title: { $regex: search, $options: 'i' } },
{ content: { $regex: search, $options: 'i' } }
];
}
// Calculate pagination
const skip = (page - 1) * limit;
// Execute query
const [posts, total] = await Promise.all([
Post.find(query)
.populate('author', 'name email')
.sort(sort)
.skip(skip)
.limit(parseInt(limit)),
Post.countDocuments(query)
]);
res.json({
data: posts,
pagination: {
page: parseInt(page),
limit: parseInt(limit),
total,
pages: Math.ceil(total / limit)
}
});
} catch (error) {
next(error);
}
};
exports.getPost = async (req, res, next) => {
try {
const post = await Post.findById(req.params.id)
.populate('author', 'name email');
if (!post) {
return res.status(404).json({
error: {
code: 'NOT_FOUND',
message: 'Post not found'
}
});
}
// Check if user can view this post
if (post.status !== 'published' &&
(!req.user || (req.user._id.toString() !== post.author._id.toString() && req.user.role !== 'admin'))) {
return res.status(403).json({
error: {
code: 'FORBIDDEN',
message: 'Access denied'
}
});
}
res.json({
post
});
} catch (error) {
next(error);
}
};
exports.updatePost = async (req, res, next) => {
try {
const post = await Post.findById(req.params.id);
if (!post) {
return res.status(404).json({
error: {
code: 'NOT_FOUND',
message: 'Post not found'
}
});
}
// Check if user is author or admin
if (req.user._id.toString() !== post.author.toString() && req.user.role !== 'admin') {
return res.status(403).json({
error: {
code: 'FORBIDDEN',
message: 'Access denied'
}
});
}
// Update fields
const { title, content, tags, status } = req.body;
if (title) post.title = title;
if (content) post.content = content;
if (tags) post.tags = tags;
if (status) post.status = status;
await post.save();
await post.populate('author', 'name email');
res.json({
post
});
} catch (error) {
next(error);
}
};
exports.deletePost = async (req, res, next) => {
try {
const post = await Post.findById(req.params.id);
if (!post) {
return res.status(404).json({
error: {
code: 'NOT_FOUND',
message: 'Post not found'
}
});
}
// Check if user is author or admin
if (req.user._id.toString() !== post.author.toString() && req.user.role !== 'admin') {
return res.status(403).json({
error: {
code: 'FORBIDDEN',
message: 'Access denied'
}
});
}
await post.deleteOne();
res.status(204).send();
} catch (error) {
next(error);
}
};
Routes
Auth Routes:
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// src/routes/auth.js
const express = require('express');
const router = express.Router();
const authController = require('../controllers/authController');
const { authenticate } = require('../middleware/auth');
const { validate, userValidations } = require('../middleware/validator');
const { authLimiter } = require('../middleware/rateLimiter');
router.post('/register',
validate(userValidations.register),
authController.register
);
router.post('/login',
authLimiter,
validate(userValidations.login),
authController.login
);
router.get('/profile',
authenticate,
authController.getProfile
);
module.exports = router;
Post Routes:
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// src/routes/posts.js
const express = require('express');
const router = express.Router();
const postController = require('../controllers/postController');
const { authenticate } = require('../middleware/auth');
const { validate, postValidations } = require('../middleware/validator');
router.get('/',
validate(postValidations.list),
postController.getPosts
);
router.get('/:id',
postController.getPost
);
router.post('/',
authenticate,
validate(postValidations.create),
postController.createPost
);
router.put('/:id',
authenticate,
validate(postValidations.update),
postController.updatePost
);
router.delete('/:id',
authenticate,
postController.deletePost
);
module.exports = router;
Main Application
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// src/app.js
const express = require('express');
const mongoose = require('mongoose');
const helmet = require('helmet');
const cors = require('cors');
const morgan = require('morgan');
require('dotenv').config();
const authRoutes = require('./routes/auth');
const postRoutes = require('./routes/posts');
const { errorHandler, notFound } = require('./middleware/errorHandler');
const { generalLimiter } = require('./middleware/rateLimiter');
const app = express();
// Database connection
mongoose.connect(process.env.MONGODB_URI)
.then(() => console.log('Connected to MongoDB'))
.catch(err => console.error('MongoDB connection error:', err));
// Middleware
app.use(helmet()); // Security headers
app.use(cors()); // CORS
app.use(morgan('combined')); // Logging
app.use(express.json()); // Parse JSON
app.use(express.urlencoded({ extended: true }));
// Rate limiting
app.use('/api/', generalLimiter);
// Health check
app.get('/health', (req, res) => {
res.json({ status: 'ok', timestamp: new Date().toISOString() });
});
// API routes
app.use('/api/v1/auth', authRoutes);
app.use('/api/v1/posts', postRoutes);
// Error handling
app.use(notFound);
app.use(errorHandler);
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Server running on port ${PORT}`);
});
module.exports = app;
Environment Configuration
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# .env
NODE_ENV=development
PORT=3000
MONGODB_URI=mongodb://localhost:27017/blog-api
JWT_SECRET=your-super-secret-jwt-key-change-this-in-production
π§ͺ Testing REST APIs
Unit Testing
Test Auth Controller:
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// tests/unit/authController.test.js
const { expect } = require('chai');
const sinon = require('sinon');
const jwt = require('jsonwebtoken');
const authController = require('../../src/controllers/authController');
const User = require('../../src/models/User');
describe('Auth Controller', () => {
describe('register', () => {
it('should create a new user and return token', async () => {
const req = {
body: {
name: 'Test User',
email: 'test@example.com',
password: 'Password123'
}
};
const res = {
status: sinon.stub().returnsThis(),
json: sinon.spy()
};
const userStub = sinon.stub(User, 'create').resolves({
_id: '123',
name: 'Test User',
email: 'test@example.com',
toJSON: () => ({ id: '123', name: 'Test User', email: 'test@example.com' })
});
const jwtStub = sinon.stub(jwt, 'sign').returns('fake-token');
await authController.register(req, res, () => {});
expect(res.status.calledWith(201)).to.be.true;
expect(res.json.called).to.be.true;
userStub.restore();
jwtStub.restore();
});
});
});
Integration Testing
Test Post Endpoints:
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// tests/integration/posts.test.js
const request = require('supertest');
const { expect } = require('chai');
const app = require('../../src/app');
const User = require('../../src/models/User');
const Post = require('../../src/models/Post');
describe('POST /api/v1/posts', () => {
let token;
let userId;
before(async () => {
// Create test user
const user = await User.create({
name: 'Test User',
email: 'test@example.com',
password: 'Password123'
});
userId = user._id;
// Get auth token
const response = await request(app)
.post('/api/v1/auth/login')
.send({
email: 'test@example.com',
password: 'Password123'
});
token = response.body.token;
});
after(async () => {
await User.deleteMany({});
await Post.deleteMany({});
});
it('should create a new post', async () => {
const response = await request(app)
.post('/api/v1/posts')
.set('Authorization', `Bearer ${token}`)
.send({
title: 'Test Post',
content: 'This is test content',
tags: ['test', 'example'],
status: 'published'
});
expect(response.status).to.equal(201);
expect(response.body).to.have.property('post');
expect(response.body.post).to.have.property('title', 'Test Post');
});
it('should return 401 without token', async () => {
const response = await request(app)
.post('/api/v1/posts')
.send({
title: 'Test Post',
content: 'This is test content'
});
expect(response.status).to.equal(401);
});
it('should return 422 with invalid data', async () => {
const response = await request(app)
.post('/api/v1/posts')
.set('Authorization', `Bearer ${token}`)
.send({
title: 'Bad', // Too short
content: 'Short' // Too short
});
expect(response.status).to.equal(422);
expect(response.body.error).to.have.property('code', 'VALIDATION_ERROR');
});
});
π Performance Optimization
1. Database Query Optimization
Use Indexing:
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// Create indexes
postSchema.index({ author: 1, status: 1 });
postSchema.index({ createdAt: -1 });
postSchema.index({ title: 'text', content: 'text' }); // Text search
Use Projection:
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// Bad - loads all fields
const posts = await Post.find();
// Good - only load needed fields
const posts = await Post.find().select('title author createdAt');
Use Lean Queries:
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// Bad - returns Mongoose documents (slower)
const posts = await Post.find();
// Good - returns plain JavaScript objects (faster)
const posts = await Post.find().lean();
2. Caching
Redis Caching:
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const redis = require('redis');
const client = redis.createClient();
exports.getCachedPosts = async (req, res, next) => {
const cacheKey = `posts:${req.query.page || 1}`;
try {
// Check cache
const cached = await client.get(cacheKey);
if (cached) {
return res.json(JSON.parse(cached));
}
// If not cached, proceed to controller
next();
} catch (error) {
// On cache error, proceed without cache
next();
}
};
// In controller
exports.getPosts = async (req, res, next) => {
try {
const posts = await Post.find()...;
const response = {
data: posts,
pagination: {...}
};
// Cache for 5 minutes
const cacheKey = `posts:${req.query.page || 1}`;
await client.setEx(cacheKey, 300, JSON.stringify(response));
res.json(response);
} catch (error) {
next(error);
}
};
3. Response Compression
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const compression = require('compression');
app.use(compression({
level: 6, // Compression level (0-9)
threshold: 1024, // Only compress responses larger than 1kb
filter: (req, res) => {
if (req.headers['x-no-compression']) {
return false;
}
return compression.filter(req, res);
}
}));
4. Pagination Best Practices
Cursor-Based for Large Datasets:
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exports.getPostsCursor = async (req, res, next) => {
try {
const { cursor, limit = 20 } = req.query;
const query = {};
if (cursor) {
// Decode cursor (contains last seen ID)
const decodedCursor = Buffer.from(cursor, 'base64').toString('ascii');
query._id = { $gt: decodedCursor };
}
const posts = await Post.find(query)
.limit(parseInt(limit) + 1)
.sort({ _id: 1 });
const hasMore = posts.length > limit;
const results = hasMore ? posts.slice(0, limit) : posts;
const nextCursor = hasMore
? Buffer.from(results[results.length - 1]._id.toString()).toString('base64')
: null;
res.json({
data: results,
pagination: {
nextCursor,
hasMore
}
});
} catch (error) {
next(error);
}
};
π API Monitoring and Analytics
Key Metrics to Track
- Request Metrics:
- Request count (per endpoint)
- Response times (average, p95, p99)
- Error rates (4xx, 5xx)
- Request sizes
- Performance Metrics:
- API latency
- Database query times
- External API call times
- Cache hit/miss rates
- Business Metrics:
- API usage per user/key
- Most popular endpoints
- Geographic distribution
- Time-based patterns
Logging Best Practices
Structured Logging:
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const winston = require('winston');
const logger = winston.createLogger({
level: 'info',
format: winston.format.combine(
winston.format.timestamp(),
winston.format.json()
),
defaultMeta: { service: 'blog-api' },
transports: [
new winston.transports.File({ filename: 'error.log', level: 'error' }),
new winston.transports.File({ filename: 'combined.log' })
]
});
// Log middleware
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
const duration = Date.now() - start;
logger.info('API Request', {
method: req.method,
path: req.path,
statusCode: res.statusCode,
duration,
userAgent: req.get('user-agent'),
ip: req.ip,
userId: req.user ? req.user._id : null
});
});
next();
});
π― REST API Best Practices Summary
Design Principles
- Consistency is Key
- Use consistent naming conventions
- Maintain uniform response structures
- Apply the same patterns across all endpoints
- Think in Resources, Not Actions
- Design around nouns (resources), not verbs (actions)
- Use HTTP methods to indicate actions
- Keep URLs hierarchical and logical
- Version from Day One
- Start with v1 even for the first version
- Plan for future changes
- Maintain backward compatibility
- Security First
- Always use HTTPS in production
- Implement proper authentication/authorization
- Validate all inputs
- Use rate limiting
- Never expose sensitive information in errors
- Documentation is Essential
- Maintain up-to-date API documentation
- Provide clear examples
- Document all error codes
- Include authentication guides
- Design for Failure
- Implement proper error handling
- Use meaningful HTTP status codes
- Provide descriptive error messages
- Include request IDs for debugging
- Performance Matters
- Implement caching where appropriate
- Use pagination for large datasets
- Optimize database queries
- Compress responses
- Monitor and measure performance
- Make it Testable
- Write unit and integration tests
- Use test environments
- Implement health check endpoints
- Monitor in production
Common Pitfalls to Avoid
β Donβt:
- Use verbs in endpoint names (
/getUsers,/createPost) - Return different structures for the same resource
- Ignore HTTP status codes (always return 200)
- Expose internal implementation details
- Skip authentication on public endpoints
- Nest resources too deeply (more than 2-3 levels)
- Change API behavior without versioning
- Return HTML errors for JSON APIs
- Store state on the server (violates REST principles)
- Hardcode URLs in responses
β Do:
- Use nouns for resources (
/users,/posts) - Maintain consistent response structures
- Use appropriate HTTP status codes
- Abstract implementation details
- Secure all endpoints appropriately
- Keep resource nesting shallow
- Version your API properly
- Return JSON errors for JSON APIs
- Keep APIs stateless
- Use HATEOAS links where beneficial
π Additional Resources and Tools
Development Tools
API Testing:
- Postman: Popular API testing tool with collections and automation
- Insomnia: Lightweight REST client
- Thunder Client: VS Code extension for API testing
- HTTPie: Command-line HTTP client
- cURL: Universal command-line tool
API Documentation:
- Swagger/OpenAPI: Industry standard specification
- ReDoc: Beautiful API documentation from OpenAPI specs
- Postman Docs: Auto-generated documentation
- API Blueprint: Markdown-based documentation
- Stoplight: API design and documentation platform
API Monitoring:
- Datadog: Comprehensive monitoring platform
- New Relic: Application performance monitoring
- Grafana: Metrics visualization
- Prometheus: Time-series database and monitoring
- ELK Stack: Elasticsearch, Logstash, Kibana for logging
API Management:
- Kong: Open-source API gateway
- AWS API Gateway: Managed API gateway service
- Azure API Management: Microsoftβs API management service
- Google Apigee: Googleβs API management platform
- Tyk: Open-source API gateway
Load Testing:
- Apache JMeter: Open-source load testing tool
- Artillery: Modern load testing toolkit
- k6: Developer-centric load testing tool
- Gatling: High-performance load testing framework
- Locust: Python-based load testing tool
Security Tools
- OWASP ZAP: Security testing tool
- Burp Suite: Web security testing
- Snyk: Vulnerability scanning
- npm audit: Node.js security auditing
- SSL Labs: SSL/TLS configuration testing
Code Examples in Different Languages
Python (Flask)
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from flask import Flask, jsonify, request
from flask_jwt_extended import JWTManager, create_access_token, jwt_required
from werkzeug.security import generate_password_hash, check_password_hash
app = Flask(__name__)
app.config['JWT_SECRET_KEY'] = 'your-secret-key'
jwt = JWTManager(app)
# In-memory storage (use database in production)
users = []
posts = []
@app.route('/api/v1/auth/register', methods=['POST'])
def register():
data = request.get_json()
# Validate input
if not data.get('email') or not data.get('password'):
return jsonify({
'error': {
'code': 'VALIDATION_ERROR',
'message': 'Email and password required'
}
}), 422
# Check if user exists
if any(u['email'] == data['email'] for u in users):
return jsonify({
'error': {
'code': 'DUPLICATE_ERROR',
'message': 'Email already exists'
}
}), 409
# Create user
user = {
'id': len(users) + 1,
'name': data.get('name'),
'email': data['email'],
'password': generate_password_hash(data['password'])
}
users.append(user)
# Generate token
access_token = create_access_token(identity=user['id'])
return jsonify({
'user': {
'id': user['id'],
'name': user['name'],
'email': user['email']
},
'token': access_token
}), 201
@app.route('/api/v1/posts', methods=['GET'])
def get_posts():
page = request.args.get('page', 1, type=int)
limit = request.args.get('limit', 20, type=int)
start = (page - 1) * limit
end = start + limit
paginated_posts = posts[start:end]
return jsonify({
'data': paginated_posts,
'pagination': {
'page': page,
'limit': limit,
'total': len(posts)
}
})
@app.route('/api/v1/posts', methods=['POST'])
@jwt_required()
def create_post():
data = request.get_json()
post = {
'id': len(posts) + 1,
'title': data['title'],
'content': data['content'],
'author_id': get_jwt_identity()
}
posts.append(post)
return jsonify({'post': post}), 201
if __name__ == '__main__':
app.run(debug=True)
Java (Spring Boot)
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// User Entity
@Entity
@Table(name = "users")
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false)
private String name;
@Column(nullable = false, unique = true)
private String email;
@Column(nullable = false)
private String password;
// Getters and setters
}
// Post Entity
@Entity
@Table(name = "posts")
public class Post {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false)
private String title;
@Column(nullable = false, columnDefinition = "TEXT")
private String content;
@ManyToOne(fetch = FetchType.LAZY)
@JoinColumn(name = "author_id")
private User author;
private LocalDateTime createdAt = LocalDateTime.now();
// Getters and setters
}
// Post Controller
@RestController
@RequestMapping("/api/v1/posts")
public class PostController {
@Autowired
private PostService postService;
@GetMapping
public ResponseEntity<Map<String, Object>> getPosts(
@RequestParam(defaultValue = "1") int page,
@RequestParam(defaultValue = "20") int limit) {
Page<Post> postsPage = postService.getPosts(page - 1, limit);
Map<String, Object> response = new HashMap<>();
response.put("data", postsPage.getContent());
Map<String, Object> pagination = new HashMap<>();
pagination.put("page", page);
pagination.put("limit", limit);
pagination.put("total", postsPage.getTotalElements());
pagination.put("pages", postsPage.getTotalPages());
response.put("pagination", pagination);
return ResponseEntity.ok(response);
}
@PostMapping
public ResponseEntity<Map<String, Object>> createPost(
@Valid @RequestBody PostRequest request,
@AuthenticationPrincipal User user) {
Post post = postService.createPost(request, user);
Map<String, Object> response = new HashMap<>();
response.put("post", post);
return ResponseEntity.status(HttpStatus.CREATED).body(response);
}
@GetMapping("/{id}")
public ResponseEntity<?> getPost(@PathVariable Long id) {
return postService.getPost(id)
.map(post -> {
Map<String, Object> response = new HashMap<>();
response.put("post", post);
return ResponseEntity.ok(response);
})
.orElseGet(() -> ResponseEntity.status(HttpStatus.NOT_FOUND)
.body(Map.of(
"error", Map.of(
"code", "NOT_FOUND",
"message", "Post not found"
)
)));
}
}
// Exception Handler
@RestControllerAdvice
public class GlobalExceptionHandler {
@ExceptionHandler(MethodArgumentNotValidException.class)
public ResponseEntity<Map<String, Object>> handleValidationExceptions(
MethodArgumentNotValidException ex) {
List<Map<String, String>> errors = ex.getBindingResult()
.getFieldErrors()
.stream()
.map(error -> Map.of(
"field", error.getField(),
"message", error.getDefaultMessage()
))
.collect(Collectors.toList());
Map<String, Object> response = new HashMap<>();
response.put("error", Map.of(
"code", "VALIDATION_ERROR",
"message", "Validation failed",
"details", errors
));
return ResponseEntity.status(HttpStatus.UNPROCESSABLE_ENTITY).body(response);
}
}
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package main
import (
"net/http"
"github.com/gin-gonic/gin"
"github.com/golang-jwt/jwt/v5"
)
type User struct {
ID uint `json:"id"`
Name string `json:"name"`
Email string `json:"email"`
Password string `json:"-"` // Never return password
}
type Post struct {
ID uint `json:"id"`
Title string `json:"title"`
Content string `json:"content"`
AuthorID uint `json:"author_id"`
}
var users []User
var posts []Post
func main() {
router := gin.Default()
v1 := router.Group("/api/v1")
{
auth := v1.Group("/auth")
{
auth.POST("/register", register)
auth.POST("/login", login)
}
postsGroup := v1.Group("/posts")
{
postsGroup.GET("", getPosts)
postsGroup.POST("", authMiddleware(), createPost)
postsGroup.GET("/:id", getPost)
}
}
router.Run(":8080")
}
func register(c *gin.Context) {
var input struct {
Name string `json:"name" binding:"required"`
Email string `json:"email" binding:"required,email"`
Password string `json:"password" binding:"required,min=8"`
}
if err := c.ShouldBindJSON(&input); err != nil {
c.JSON(http.StatusUnprocessableEntity, gin.H{
"error": gin.H{
"code": "VALIDATION_ERROR",
"message": err.Error(),
},
})
return
}
// Create user (hash password in production)
user := User{
ID: uint(len(users) + 1),
Name: input.Name,
Email: input.Email,
Password: input.Password,
}
users = append(users, user)
// Generate token
token := jwt.NewWithClaims(jwt.SigningMethodHS256, jwt.MapClaims{
"user_id": user.ID,
})
tokenString, _ := token.SignedString([]byte("secret"))
c.JSON(http.StatusCreated, gin.H{
"user": gin.H{
"id": user.ID,
"name": user.Name,
"email": user.Email,
},
"token": tokenString,
})
}
func getPosts(c *gin.Context) {
page := 1
limit := 20
if p, ok := c.GetQuery("page"); ok {
// Parse page (simplified)
_ = p
}
c.JSON(http.StatusOK, gin.H{
"data": posts,
"pagination": gin.H{
"page": page,
"limit": limit,
"total": len(posts),
},
})
}
func createPost(c *gin.Context) {
var input struct {
Title string `json:"title" binding:"required,min=5,max=200"`
Content string `json:"content" binding:"required,min=10"`
}
if err := c.ShouldBindJSON(&input); err != nil {
c.JSON(http.StatusUnprocessableEntity, gin.H{
"error": gin.H{
"code": "VALIDATION_ERROR",
"message": err.Error(),
},
})
return
}
// Get user from context (set by authMiddleware)
userID := c.GetUint("user_id")
post := Post{
ID: uint(len(posts) + 1),
Title: input.Title,
Content: input.Content,
AuthorID: userID,
}
posts = append(posts, post)
c.JSON(http.StatusCreated, gin.H{
"post": post,
})
}
func getPost(c *gin.Context) {
id := c.Param("id")
// Find post (simplified)
_ = id
c.JSON(http.StatusOK, gin.H{
"post": posts[0],
})
}
func authMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
tokenString := c.GetHeader("Authorization")
if tokenString == "" {
c.JSON(http.StatusUnauthorized, gin.H{
"error": gin.H{
"code": "UNAUTHORIZED",
"message": "No token provided",
},
})
c.Abort()
return
}
// Verify token (simplified)
c.Set("user_id", uint(1))
c.Next()
}
}
π Learning Path and Next Steps
Beginner Level
- Understand HTTP Fundamentals
- HTTP methods and status codes
- Headers and request/response structure
- Basic client-server communication
- Learn REST Principles
- Six architectural constraints
- Resource-oriented design
- Stateless communication
- Build Simple APIs
- Create basic CRUD endpoints
- Implement proper status codes
- Structure JSON responses
Intermediate Level
- Master Authentication & Authorization
- Implement JWT authentication
- Understand OAuth 2.0 flows
- Role-based access control
- API Design Patterns
- Pagination strategies
- Filtering and sorting
- Versioning approaches
- Error Handling & Validation
- Comprehensive error responses
- Input validation
- Rate limiting
Advanced Level
- Performance Optimization
- Caching strategies
- Database query optimization
- Response compression
- API Documentation
- OpenAPI/Swagger specifications
- Interactive documentation
- Code generation
- Monitoring & Analytics
- Logging and metrics
- Performance monitoring
- User analytics
- Microservices & Scalability
- API gateways
- Service mesh
- Distributed systems
π― Conclusion
Building effective REST APIs requires understanding both the theoretical principles and practical implementation details. Key takeaways:
- Follow REST Constraints: Adhere to the six architectural constraints for truly RESTful APIs
- Design Around Resources: Think in terms of nouns (resources) rather than verbs (actions)
- Use HTTP Properly: Leverage HTTP methods, status codes, and headers correctly
- Prioritize Security: Always implement authentication, authorization, and input validation
- Document Thoroughly: Comprehensive documentation is crucial for API adoption
- Version Intelligently: Plan for changes from the beginning
- Monitor and Optimize: Continuously measure and improve performance
- Think About Scalability: Design APIs that can grow with your application
REST APIs are the backbone of modern web applications. By following best practices and staying updated with evolving standards, you can build APIs that are scalable, maintainable, and developer-friendly.
π References
- Roy Fieldingβs Dissertation on REST
- RFC 7231 - HTTP/1.1 Semantics and Content
- OpenAPI Specification
- RESTful API Design Guidelines
- Richardson Maturity Model - Martin Fowler
- OAuth 2.0 Official Documentation
- JWT Introduction
- MDN HTTP Status Codes
- OWASP REST Security Cheat Sheet
- Microsoft REST API Guidelines
- Google JSON Style Guide
- GitHub REST API Documentation
- Stripe API Documentation
- Postman API Testing
- Express.js Routing Guide

