enterprise-infrastructure

Progressive infrastructure scales from SQLite to multi-worker Postgres using environment-driven configuration and a single code path. Set the KAILASH_DATABASE_URL environment variable and initialize StoreFactory to automatically provision the appropriate infrastructure stores.

Dialect-portable SQL enables cross-database compatibility across Postgres, MySQL, and SQLite using shared ConnectionManager and StoreFactory with dialect adapters. This allows applications to switch database backends through environment variables without modifying application logic.

Task queues and worker registry enable reliable distributed workflows by managing multi-worker queue processing and idempotency patterns. Configure KAILASH_QUEUE_URL to activate queue infrastructure alongside environment-driven database stores for scalable task execution.

Environment-driven configuration manages progressive deployment across Level 0 through Level 2 infrastructure levels. A single code path handles all deployment stages, applying lazy imports and schema-versioning via StoreFactory and dialect adapters for minimal code changes during scaling.

Progressive infrastructure requires careful environment variable management (KAILASH_DATABASE_URL, KAILASH_QUEUE_URL) and relies on dialect adapters for portable SQL. Complex multi-worker setups need proper idempotency pattern implementation to ensure reliable task queue processing across workers.

Idempotency patterns are needed in task queue infrastructure when running multi-worker deployments to prevent duplicate task execution. They ensure reliable, scalable workflows by guaranteeing tasks produce consistent results even if processed multiple times across distributed workers.