enterprise-infrastructure

You can scale from SQLite to PostgreSQL or MySQL without code changes by using dialect-portable SQL with canonical question-mark placeholders, identifier validation, and lazy driver loading. Environment-driven configuration automatically adjusts database behavior from single-process to shared deployments.

Exactly-once workflow execution ensures tasks are processed only once by combining transactional queue claims that atomically lock tasks with idempotent operations that safely handle retries. This prevents duplicate work even when multiple workers compete for the same job.

Worker registry heartbeat management tracks active workers and reaps dead workers by detecting missed heartbeats. When a worker fails, its claimed tasks are released back to the queue for reprocessing by available workers, ensuring stalled jobs are recovered.

Yes, dialect-portable SQL supports upsert, locking, and JSON behavior across PostgreSQL, MySQL, and SQLite. Canonical SQL style with question-mark placeholders and identifier validation preserves these database-specific operations safely during translation between environments.

Shared connection management centralizes database connections and coordinates access across multiple workers using lazy driver loading and a store factory. Environment-driven configuration scales from level 0 single-process behavior to level 2 multi-worker processing without changing workflow code.

No, progressive infrastructure scaling lets you move from single-process SQLite to shared PostgreSQL or MySQL and enable multi-worker queue processing without rewriting workflow code. Environment-driven configuration handles the transition from level 0 to level 2 behavior automatically.