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Serverless background jobs run asynchronously without managing infrastructure by leveraging event-driven execution. This approach handles tasks reliably in a serverless environment, eliminating the need to provision or maintain your own queues and workers.

Durable multi-step workflows survive failures using step-based checkpointing. This mechanism ensures long-running tasks complete reliably by saving progress at each step, automatically resuming from the last checkpoint if an interruption or failure occurs.

You can implement multi-day onboarding flows with email notifications in a serverless environment using durable execution and durable sleep. This reliably manages sequences spanning multiple days, handling data processing and user activation without timeout constraints.

Serverless event-driven execution supports fan-out patterns and concurrency control natively. You can process high-throughput events and manage concurrent task execution directly within the workflow configuration, ensuring reliable scaling without infrastructure overhead.

You need durable execution for event-driven AI pipelines when processing long-running tasks that require reliability. It ensures each step completes successfully despite failures, providing checkpointing for complex, multi-step data processing.

You trigger a serverless workflow when a user signs up by creating a function that listens to a 'user_signed_up' event. This event-driven approach automatically initiates the background process upon the specific user action.