BullMQ doesn't directly support clustering like Bull does. However, you can effectively create a cluster by running multiple instances of your job processor, each connected to the same Redis instance. This allows you to distribute the processing of jobs across several machines or processes.
Here's an example of how you might set this up in Node.js:
To create a "cluster", simply run multiple instances of
worker.js. Each will connect to the same Redis instance and start processing jobs from the queue. They'll automatically share the workload between them.
Remember that all instances should be able to access the necessary resources to do their jobs, like databases or filesystems. Also take care of error handling and job retries, as failures may become more likely in distributed systems.
For scaling needs beyond what this setup can provide, consider using a task queue system designed for larger scales and more complex workflows, like Apache Kafka or AWS SQS.