Scalable backends prevent performance bottlenecks as products expand. This article discusses architectural best practices for scalability.

Architectural Patterns

Monolithic architectures may suit early stages but often don't scale well.

Microservices allow individual components to scale independently.

Database Scalability

Techniques like sharding and replication increase database performance and reliability.

Choosing the right type of database (SQL vs NoSQL) depends on data and query patterns.

Caching Strategies

Caching frequently accessed data reduces latency and load on primary databases.

Layered caching architectures can optimize performance for various use cases.

Load Balancing and Scaling

Load balancers distribute traffic to prevent overloading single servers.

Horizontal scaling adds capacity by adding more machines rather than upgrading single ones.