- Регистрация
- 1 Мар 2015
- Сообщения
- 1,481
- Баллы
- 155
Building a web application that can handle growth while maintaining performance and reliability requires careful system design. In this post, I'll walk through the key components and considerations for designing a modern, scalable web application.
Core Components
1. Client-Side
Scalability Patterns
Here's a simplified diagram of a scalable web app:
Clients → CDN → Load Balancer → [Web Server Cluster]
→ [App Server Cluster] → [Database Cluster (Master + Replicas)]
→ [Cache] → [Object Storage]
→ [Message Queue for Async Tasks]
Choosing the Right Tools
Your technology choices should consider:
Remember: Start simple and scale components as needed. Over-engineering early can be as problematic as under-engineering.
What system design patterns have you found most effective in your projects? Share your experiences in the comments!
WebDevelopment #SystemDesign #Scalability #SoftwareArchitecture #DevOps
Core Components
1. Client-Side
- Web Frontend: React, Angular, or Vue.js for dynamic UI
- Mobile Clients: Native apps or cross-platform frameworks like Flutter/React Native
- CDN: For static assets (images, JS, CSS) to reduce latency
- Distributes traffic across multiple servers
- Options: Nginx, HAProxy, or cloud load balancers (AWS ALB, GCP LB)
- Can implement round-robin, least connections, or IP hash algorithms
- Handles HTTP requests and serves responses
- Popular choices: Node.js, Django, Ruby on Rails, Spring Boot
- Stateless design for horizontal scaling
- Business logic processing
- Microservices architecture for complex applications
- Containerized with Docker for consistency
- Relational DB: PostgreSQL, MySQL for transactional data
- NoSQL: MongoDB, Cassandra for flexible schemas
- Caching: Redis or Memcached for frequent queries
- Consider read replicas for scaling reads
- Object storage (AWS S3, Google Cloud Storage) for files
- Block storage for databases
- Content Delivery Network for global distribution
Scalability Patterns
- Horizontal scaling: Add more servers vs. vertical scaling (bigger servers)
- Database sharding: Split data across multiple DB instances
- Event-driven architecture: Using message queues (Kafka, RabbitMQ)
- Redundancy: Multiple instances of each component
- Failover mechanisms: Automatic switching to backup systems
- Circuit breakers: Prevent cascading failures
- Caching strategies: Multiple cache layers (CDN, application, database)
- Database indexing: Proper indexing for query optimization
- Asynchronous processing: Offload non-critical tasks
- HTTPS everywhere: Encrypt all communications
- Authentication/Authorization: OAuth, JWT, or session-based
- Input validation: Prevent injection attacks
- Rate limiting: Protect against abuse
Here's a simplified diagram of a scalable web app:
Clients → CDN → Load Balancer → [Web Server Cluster]
→ [App Server Cluster] → [Database Cluster (Master + Replicas)]
→ [Cache] → [Object Storage]
→ [Message Queue for Async Tasks]
Choosing the Right Tools
Your technology choices should consider:
- Team expertise
- Project requirements
- Expected traffic patterns
- Budget constraints
- Maintenance overhead
Remember: Start simple and scale components as needed. Over-engineering early can be as problematic as under-engineering.
What system design patterns have you found most effective in your projects? Share your experiences in the comments!
WebDevelopment #SystemDesign #Scalability #SoftwareArchitecture #DevOps