Scaling background job processing queues at high throughput is challenging due to the need to maintain performance while handling large volumes of tasks. In this session, we demonstrate how to scale heavy workloads using the popular Node.js queuing library BullMQ with a Dragonfly Cloud instance as the backing data store.

Useful Resources

• Blog Post -> Scaling Heavy BullMQ Workloads with Dragonfly Cloud
• Blog Post -> How We Optimized Dragonfly to Get 30x Throughput with BullMQ
• Documentation -> Dragonfly BullMQ Integration