3 docs tagged with "Managing Long Running Tasks"

Understanding the Problem

Understanding the Problem

🏃 The Managing Long-Running Tasks pattern splits API requests into two phases: immediate acknowledgment and background processing. When users submit heavy tasks (like video encoding), the web server instantly validates the request, pushes a job to a queue (Redis/RabbitMQ), and returns a job ID, all within milliseconds. Meanwhile, separate worker processes continuously poll the queue, grab pending jobs, execute the actual time-consuming work, and update the job status in a database.