Azure Service Bus as Job Queue

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LlamaCloud’s job queue is AMQP-compatible. You can use Azure Service Bus instead of a self-managed RabbitMQ by supplying a Service Bus connection string in your Helm values.

Prerequisites

• An Azure Service Bus namespace.
• Namespace tier: Standard or higher (Basic is not supported).
• A connection string with Manage, Send, and Listen permissions.
  • Manage is needed so LlamaCloud can validate and, if necessary, create the queues on startup.
  • How to find it: https://learn.microsoft.com/en-us/azure/service-bus-messaging/service-bus-dotnet-get-started-with-queues?tabs=connection-string

Configure via values.yaml (Recommended)

Update your values.yaml as follows:

rabbitmq:
  connectionString: "Endpoint=sb://<namespace>.servicebus.windows.net/;SharedAccessKeyName=<policy>;SharedAccessKey=<key>;EntityPath=<queue-name>"

Configure via Kubernetes Secret (Optional)

For production, you may prefer a secret instead of inlining credentials.

LlamaCloud reads the Azure Service Bus connection string from the JOB_QUEUE_CONNECTION_STRING environment variable. When supplying a Kubernetes Secret via rabbitmq.secret, ensure the secret contains a key named JOB_QUEUE_CONNECTION_STRING whose value is the full Service Bus connection string.

1. Create a secret with the connection string:

kubectl create secret generic my-queue-secret \
  --from-literal=JOB_QUEUE_CONNECTION_STRING='Endpoint=sb://<namespace>.servicebus.windows.net/;SharedAccessKeyName=<policy>;SharedAccessKey=<key>;EntityPath=<queue-name>'

2. Reference the secret in values.yaml:

rabbitmq:
  secret: my-queue-secret

Verify

• Upgrade your release and ensure pods start successfully.
• Services will log successful connections to the job queue; check llamacloud-worker and llamacloud-parse pods for confirmation.