How to Design B2B SaaS Integrations that Don't Hit Rate Limits

The text discusses strategies for managing API rate limits in integration systems, focusing on proactive approaches to avoid hitting these limits in the first place. It introduces three proactive patterns: rate-aware scheduling to pace requests within set thresholds, batching to combine multiple operations into single API calls, and priority lane segmentation to separate high-priority tasks from bulk operations. These strategies are complemented by observability tools that track performance and rate limit adherence. The text highlights the importance of handling rate limits as an architectural concern, especially when dealing with integrations at scale, and describes how Prismatic's platform provides built-in infrastructure to manage these challenges effectively. This includes automatic execution retries, flow concurrency controls, and structured logging, which help teams concentrate on business logic rather than the underlying infrastructure.