enterprise-infrastructure

You can scale infrastructure from single-process SQLite to a shared database by using environment variables and store factories, allowing multi-worker deployment without changing application logic. This progressive scaling preserves your existing workflow code.

Dialect-portable SQL lets you write one canonical SQL style that works across PostgreSQL, MySQL, and SQLite by safely handling connection pools, transactions, and placeholder translation. This ensures database portability without query rewrites.

The best way to implement idempotent execution and worker heartbeats is through reliability patterns like task queues, worker registry, and heartbeat recovery. This guarantees exactly-once execution requirements for production-ready orchestration.

Yes, infrastructure scaling supports schema versioning for shared database storage alongside store factories and transaction safety. This ensures operational workflow scenarios maintain data integrity during multi-worker execution.

Yes, you can use environment variables alone to switch from local development SQLite to PostgreSQL for shared persistence and later enable Redis or SQL-backed workers. This progressive scaling requires no code changes to your application logic.

Multi-worker deployment requires a worker registry and heartbeat recovery to ensure transaction safety and exactly-once execution. These reliability patterns prevent duplicate processing and recover failed workers in shared-database orchestration scenarios.