Workflows as Code - Dynamic Scheduling

DBOS has enhanced its workflow scheduling capabilities by introducing dynamic workflow scheduling, replacing the previous static configuration approach. The new system stores workflow schedules in a database, allowing for real-time modifications without the need to redeploy code, thus offering flexibility in managing periodic processes like data syncing and report generation. This update enables users to dynamically adjust schedules, view, pause, resume, or trigger them via a dashboard, and automatically backfill missed actions during downtime. The underlying mechanism utilizes a workflow_schedules table in Postgres, with scheduler threads polling for updates and using a unique ID as an idempotency key to ensure workflows are executed only once, maintaining distributed and fault-tolerant scheduling. To address the thundering herd problem, the system introduces jitter, spreading out database activity and reducing contention by converting potential spikes in writes into reads.

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