DBOS scales Postgres queues to 10B monthly workflows
DBOS published a guide on scaling Postgres-backed job queues to process tens of billions of workflows per month without dedicated message brokers. By using FOR UPDATE SKIP LOCKED, partial indexing, and atomic transactions, teams can remove contention bottlenecks while eliminating dual-write issues with external queues like Redis or RabbitMQ.
Postgres is far more capable of handling high-throughput job queues than distributed system dogma suggests, rendering external brokers redundant for most applications.
• Lock Contention Solved: `FOR UPDATE SKIP LOCKED` allows concurrent workers to dequeue items without blocking each other.
• Transactional Integrity: Combining task state and business data in a single Postgres transaction eliminates distributed consistency bugs.
• Optimized Database Tuning: Selective partial indexes and tuned transaction isolation levels enable throughput scaling to tens of thousands of executions per second.
DISCOVERED
1h ago
2026-07-30
PUBLISHED
3h ago
2026-07-30
RELEVANCE
AUTHOR
KraftyOne