Patterns for Postgres Traffic Control

Josh Brown's article introduces Database Traffic Control™, a tool for managing and prioritizing Postgres database traffic by attaching resource budgets to specific traffic slices, ensuring critical flows remain unaffected by other queries. The post explores practical implementation patterns using Go, focusing on tagging database queries with SQL comments for resource allocation. These patterns help isolate services and manage traffic in various scenarios, such as microservices, route-level tagging, feature deployments, tier-based limits in multi-tenant applications, and background jobs. By implementing these patterns, developers can set resource ceilings and avoid database overloads, thus preventing outages and maintaining a degraded experience instead. Traffic Control allows developers to observe query behavior in Warn mode before enforcing limits, providing a structured approach to managing database traffic and avoiding resource competition.