Postgres: Powering Scalable, Observable Durable Workflows

This blog post delves into the technical reasons behind DBOS's choice of PostgreSQL as the metadata store for their durable workflow library. PostgreSQL's concurrency control, specifically its locking clauses, solves contention issues in database-backed queues, enabling scalability to tens of thousands of workflows per second. Its relational data model and secondary indexes simplify the development of observability tooling for real-time monitoring and visualization of workflow execution. Furthermore, PostgreSQL transactions guarantee exactly-once execution semantics for database operations, preventing duplication. PostgreSQL's features make it ideal for building robust and performant durable workflow libraries.
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