توسعه backend مدرن نیاز به درک عمیق از مفاهیم پیشرفته دارد. در این مقاله موضوعات کلیدی معماری سیستمهای مقیاسپذیر را بررسی میکنیم.
Database Design: - Normalization vs Denormalization - ACID Properties - CAP Theorem - Database Indexing - Query Optimization
Caching Strategies: - In-Memory Caching - Distributed Caching - CDN Caching - Cache Invalidation - Cache Patterns
Message Queues: - Asynchronous Processing - Queue Types - Message Durability - Dead Letter Queues - Pub/Sub Patterns
Load Balancing: - Round Robin - Weighted Round Robin - Least Connections - IP Hash - Health Checks
API Design: - RESTful APIs - GraphQL - gRPC - API Versioning - Rate Limiting
Security Implementation: - Authentication vs Authorization - JWT Tokens - OAuth 2.0 - SQL Injection Prevention - Input Validation
Monitoring و Logging: - Application Metrics - Error Tracking - Log Aggregation - Distributed Tracing - Alerting Systems
Containerization: - Docker Best Practices - Multi-stage Builds - Container Orchestration - Service Discovery - Health Checks
Database Scaling: - Read Replicas - Sharding - Partitioning - Connection Pooling - Database Federation
Event-Driven Architecture: - Event Sourcing - CQRS Pattern - Saga Pattern - Event Streaming - Message Ordering
Performance Optimization: - Code Profiling - Memory Management - Database Optimization - Network Latency - Concurrent Processing
Testing Strategies: - Unit Testing - Integration Testing - Load Testing - Chaos Engineering - Contract Testing
Deployment Patterns: - Blue-Green Deployment - Canary Deployment - Rolling Updates - Feature Toggles - Circuit Breakers
Best Practices: 1. Plan for failure 2. Monitor everything 3. Automate deployments 4. Document architecture 5. Test thoroughly
درک این مفاهیم به شما کمک میکند سیستمهای قابل اعتماد، مقیاسپذیر و با عملکرد بالا بسازید که نیازهای کسبوکارهای مدرن را برآورده کنند.