Reliable self-healing scheduled jobs using DB cron + edge functions

Reliable self-healing scheduled jobs using DB cron + edge functions targets a $16.8B = 21M professional developers x $800 avg annual spend on scheduling/observability tooling total addressable market with medium saturation and a year-over-year growth rate of 18%.

Key trends driving demand: serverless-and-edge -- more workloads are moving to edge runtimes enabling low-latency scheduled execution and cheaper global triggers; DB-centric-architectures -- apps use the database as a coordination plane, making db-backed cron attractive for consistency and survivability; observability-and-autoremediation -- rising demand for auto healing and ML-based anomaly detection to reduce manual ops; multi-cloud-and-hybrid-deployments -- teams require schedulers that work across cloud and on-prem systems for resilience.