How we used Inngest Queues to build Inngest's native Cron Scheduler

Inngest transformed its cron scheduling system from a fragile, database-dependent polling model into a robust, self-healing, and horizontally scalable distributed scheduler using its custom-built queueing infrastructure. Initially, Inngest's cron service relied on polling the database for scheduled functions, but as usage increased, this approach became unsustainable due to database slowdowns and memory crashes causing missed executions. By leveraging its existing queue system, Inngest restructured cron scheduling to maintain a single pending job per scheduled function in the system queue, which schedules subsequent jobs upon execution. This approach ensures durability, as jobs persist beyond process crashes, and reliability, with built-in support for delayed execution and delivery guarantees. The migration process involved a seamless transition where both the old and new systems ran concurrently, facilitated by feature flags and testing with pilot accounts to ensure accuracy and performance. The new architecture has improved observability and reduced support demands by integrating cron scheduling into the established queue system, offering a unified, dependable framework for all time-based orchestration tasks.

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