‍Applications are Dead. Long Live Workflows

Database application architecture has evolved from early two-tier client-DBMS systems to three-tier models that separated presentation, business logic, and database functions to improve scalability, connection management, and resource use. The passage argues that modern data-intensive applications, particularly agentic AI systems, multi-step business processes, and high-volume consumer platforms, increasingly require workflow orchestrators rather than conventional application servers because they must manage long-running graph-based tasks, preserve durable state, recover from failures, coordinate step execution, scale elastically, and undo or compensate for completed actions when later steps fail. Workflow orchestration can reduce application complexity by externalizing control flow and error handling, while providing visual monitoring, debugging, checkpoint-based recovery, and support for compensating transactions. It further presents DBOS’s approach of embedding workflow orchestration in the database already used by an application, asserting that this can avoid separate orchestration infrastructure and additional messaging while enabling durable workflow execution.

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