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Article: Implementing Durable Workflows on Postgres without an External Orchestrator

InfoQ10 min read

Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts. By Raman Varma

Durable execution does not require a dedicated orchestrator like Temporal or AWS Step Functions; a relational database you already operate can play that role and remove a stateful, external system from your critical path. SELECT ... FOR UPDATE SKIP LOCKED turns an ordinary Postgres table into a concurrent work queue where each row is claimed by exactly one worker, with no message broker, leader election, or external lock service. Making step checkpoints a primary-key constraint lets the database enforce idempotency, so a step that reruns after a crash reads its prior result instead of repeating a side effect. Crash recovery can be implemented with a simple lease-and-sweeper pattern, where workers heartbeat the rows they own and a periodic query re-enqueues any execution whose lease expired. Storing workflow state in your primary database makes observability a plain SQL query and collapses reliability and security to one dependency. When we started building Kestrel Workflows (deterministic workflows for automating incident response, cloud provisioning, CI/CD, and developer requests), we hit the problem every automation system eventually hits. Our workflows had to be durable and survive all types of failures. A workflow can be…

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