Stateful applications, which read from and modify persistent data, present challenges in maintaining data consistency, integrity, and security, particularly when service interruptions occur. These applications require atomicity, ensuring operations either fully complete exactly once or completely roll back, a necessity complicated by the modern trend of distributed applications that interact with multiple databases and external APIs. The example of an e-commerce checkout flow demonstrates the need for atomic operations, as failures in payment processing or server interruptions can lead to inconsistent states. Solutions like coding a state machine or using workflow engines such as AWS Step Functions and Azure Durable Functions offer ways to handle these challenges, although each has limitations in guaranteeing operations execute exactly once. The DBOS Cloud and its open-source DBOS Transact framework propose a solution by storing program status in a database to resume interrupted programs, ensuring operations execute once and only once, and inviting users to explore its capabilities.