Rewriting Flow Control in QStash and Workflow
Blog post from Upstash
QStash's flow control system, a crucial feature for managing message delivery speed and concurrency, underwent a comprehensive rewrite to address several limitations in its original design. The previous implementation struggled with adaptability to configuration changes, fairness in message scheduling, lack of observability, and limited user control, issues that became more pronounced with increased usage. Originally, rate limits were rigidly set at message publish time, creating challenges when users adjusted configurations post-publication. Fairness issues arose due to a disjointed scheduling logic split between Redis and QStash servers, often resulting in new messages being prioritized over older ones. Observability was hindered by a lack of centralized metrics, preventing users from easily tracking their system's performance. The rewrite introduced a waitlist mechanism, centralized scheduling logic using Redis Lua scripts, and a unified structure for rate limits and parallelism, enhancing fairness and reducing network overhead. Additionally, a new Flow Control Management API now allows dynamic adjustments to rate and parallelism, enabling users to better manage traffic in response to changing conditions. This architectural overhaul not only simplifies the system and improves performance but also lays the groundwork for future enhancements, making the system more robust and responsive to user needs.
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