Architecture
Understanding Azu's architecture is key to building effective applications. This guide covers the core architectural patterns, request lifecycle, and design principles that make Azu powerful and type-safe.
Core Architecture Principles
Type Safety First
Azu is built around Crystal's powerful type system, providing compile-time guarantees for:
Request Validation: All incoming data is validated at compile time
Response Structure: Response objects are type-safe and consistent
Route Parameters: URL parameters are typed and validated
WebSocket Messages: Real-time communication is type-safe
Component-Based Design
Azu follows a modular, component-based architecture:
Endpoints: Self-contained request handlers
Request Contracts: Type-safe input validation
Response Objects: Structured output handling
Channels: Real-time communication handlers
Components: Reusable UI components
Performance by Design
Built for high performance:
Compile-time Optimization: Crystal's compiler optimizes your code
Memory Efficiency: Predictable memory usage with no GC pauses
Concurrent Processing: Handle thousands of connections efficiently
Minimal Overhead: Framework adds minimal runtime cost
Request-Response Lifecycle
1. Request Processing
When a request arrives:
HTTP Server: Crystal's built-in HTTP server receives the request
Middleware Chain: Request passes through configured middleware
Router: Routes the request to the appropriate endpoint
Endpoint: Type-safe endpoint processes the request
2. Request Validation
Request contracts automatically:
Parse and validate incoming data
Provide type-safe access to parameters
Generate detailed error messages
Ensure data integrity
3. Business Logic
4. Response Generation
Middleware Architecture
Azu uses a middleware chain pattern for request processing:
Built-in Middleware
RequestId: Adds unique request identifiers
Logger: Request/response logging
CORS: Cross-origin resource sharing
Static: Static file serving
Rescuer: Error handling and recovery
Custom Middleware
Routing System
Azu uses a high-performance routing tree based on Radix:
Route Features
HTTP Methods: Support for all standard HTTP methods
Path Parameters: Typed URL parameters (
:id,:slug)Route Groups: Organize related routes
Nested Routes: Hierarchical route organization
Route Constraints: Additional validation rules
WebSocket Architecture
Real-time communication in Azu:
Channel Pattern
Component System
Live components for interactive UI:
Component Lifecycle
Mount: Component is created and registered
Render: Initial HTML is generated
Event Handling: Client events are processed
Update: Component state changes trigger re-renders
Unmount: Component is cleaned up
Template System
Azu includes a powerful template engine based on Jinja2:
Template Features
Variable Interpolation:
{{ variable }}Control Structures:
{% if %}loops and conditionalsTemplate Inheritance: Extend base templates
Hot Reload: Automatic template reloading in development
Markup DSL: Programmatic HTML generation
Template Rendering
Configuration System
Centralized configuration with environment support:
Error Handling
Comprehensive error handling system:
Error Types
ValidationError: Request validation failures
NotFound: Resource not found (404)
Unauthorized: Authentication failures (401)
Forbidden: Authorization failures (403)
InternalServerError: Server errors (500)
Error Response Format
Performance Characteristics
Compile-time Optimizations
Type Elimination: Unused code is eliminated at compile time
Method Inlining: Small methods are inlined for performance
Dead Code Elimination: Unreachable code is removed
Constant Folding: Compile-time constant evaluation
Runtime Performance
Zero-cost Abstractions: Framework abstractions have minimal overhead
Memory Efficiency: Predictable memory usage patterns
Concurrent Processing: Efficient handling of multiple requests
Connection Pooling: Optimized database and external service connections
Benchmarking
Azu is designed for high performance:
Request Throughput: Handle thousands of requests per second
Memory Usage: Low memory footprint with predictable patterns
Latency: Sub-millisecond request processing overhead
Scalability: Efficient resource usage for horizontal scaling
Security Architecture
Built-in Security Features
CSRF Protection: Cross-site request forgery prevention
Input Validation: Comprehensive request validation
XSS Prevention: Automatic output escaping
SQL Injection Prevention: Type-safe database queries
Secure Headers: Security-focused HTTP headers
Security Best Practices
Input Sanitization: All user input is validated and sanitized
Output Encoding: Automatic HTML/XML encoding
Authentication: Secure session management
Authorization: Role-based access control
HTTPS Enforcement: Secure communication protocols
Development vs Production
Development Mode
Hot Reload: Automatic code and template reloading
Debug Logging: Detailed request/response logging
Error Pages: Comprehensive error information
Performance Monitoring: Development-time metrics
Production Mode
Optimized Compilation: Release-mode optimizations
Minimal Logging: Production-appropriate logging levels
Error Handling: User-friendly error responses
Performance Monitoring: Production metrics and alerting
Next Steps
Now that you understand Azu's architecture:
Endpoints - Learn about endpoint patterns and best practices
Request Contracts - Master request validation and type safety
Response Objects - Structure your API responses
Routing - Organize your application routes
Middleware - Customize request processing
WebSocket Channels - Build real-time features
Components - Create interactive UI components
Understanding Azu's architecture gives you the foundation to build robust, type-safe, and performant web applications with confidence.
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