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Queues Observability

Last updated March 3, 2026

The Queues observability tab provides visibility into your queue operations, helping you monitor message throughput, consumer performance, and message age across all your queues.

You can access Queues observability at the project level through the Observability tab:

  1. Navigate to your project dashboard
  2. Click on the Observability tab in the left sidebar
  3. Select Queues from the horizontal tabs at the top

The Queues tab shows all queues in your project with real-time metrics and historical trends.

When viewing the Queues tab at the project level, you can see:

MetricDescription
Messages/sNumber of messages sent to the queue per second
QueuedTotal number of messages sent to the queue over the time period
ReceivedTotal number of messages received by consumers
DeletedTotal number of messages successfully processed and deleted

Each row in the table includes sparkline charts showing how these metrics have changed over time. You can click on any queue to view detailed metrics for that specific queue.

When you click on a specific queue, you can see detailed charts and breakdowns:

Throughput per second: Line chart showing message processing rate over time, broken down by consumer group. This helps you understand:

  • Which consumer groups are actively processing messages
  • Peak processing times and traffic patterns
  • Whether consumers are keeping up with incoming messages

Max message age: Line chart showing the oldest unprocessed message in the queue over time, broken down by consumer group. This metric helps you identify:

  • Consumer lag or backlog issues
  • Whether messages are being processed in a timely manner
  • Potential problems with specific consumer groups

Consumers table: A detailed table showing all consumer groups for the queue with the following columns:

ColumnDescription
Consumer GroupName of the consumer group
Processed/sMessages processed per second by this consumer group
ReceivedTotal messages received with sparkline chart
DeletedTotal messages successfully deleted with sparkline chart

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