conventions-scale

Handle multi-tenant database isolation by applying tenant isolation conventions and preparing data models for future row level security. Standardize indexing strategies to protect multi-tenant data and maintain efficient query performance across isolated tenants.

Stateless API design improves deployment scalability by removing server-side session state, enabling any server instance to handle any request. This allows load-balanced deployment and modular boundaries, making it easier to scale applications horizontally without session affinity constraints.

You need pagination and streaming guidelines when designing new endpoints or adding database tables to prevent unbounded result sets. These conventions ensure efficient data retrieval, standardize query limits, and protect system memory when processing large-scale data requests.

Use external connection poolers to improve database reliability under heavy load. Safe connection pooling design patterns manage database connections efficiently, preventing connection exhaustion and maintaining stable performance when scaling applications for large-scale usage.

Configurable resource limits and AI provider abstraction are essential for maintainable growth when scaling architecture. Centralized limits prevent resource exhaustion, while provider abstraction decouples AI dependencies, ensuring the system remains flexible and scalable across different services.