This extension documentation is now deprecated and will no longer be updated. We recommend using the new Apache ActiveMQ Classic extension for improved functionality and support.
Dynatrace ActiveMQ server monitoring provides information about queues, brokers, and more. If ActiveMQ nodes are underperforming or a problem occurs, Dynatrace lets you know immediately and shows you why.
With ActiveMQ monitoring enabled globally, Dynatrace automatically collects ActiveMQ metrics whenever a new host running ActiveMQ is detected in your environment.
Go to Technologies & Processes or Technologies & Processes Classic (latest Dynatrace).
Click the ActiveMQ tile on the Technology overview page.
To view cluster metrics, find ActiveMQ in the Process group table under the tiles and click Details to display the ActiveMQ process group details.
The chart displays the selected process group metric over time. You can select a different metric from the list.
Select Process group details.
On the Process group details page, select the Technology-specific metrics tab.
Here you can identify any problematic nodes.
To access node-specific metrics, select a node from the Process list at the bottom of the page.
Drill down into the metrics of individual nodes to find the root causes of any potential bottlenecks or detected problems.
Select the ActiveMQ metrics tab. Here you’ll find valuable ActiveMQ node-specific metrics.
Pay particular attention to the Broker limits chart, which shows memory usage, storage usage, and any temporary storage limits that have been assigned to the broker.
Other important metrics include Connections, Number of producers, and Number of consumers. See ActiveMQ metrics for definitions.
Select the Queues metrics tab to display essential information about your queues.
Be aware that Average enqueue time is calculated as an average of all messages created since the start of the broker session. When waiting time increases rapidly, this metric changes only slightly and is most helpful for trend analysis. For real-time usage, keep an eye on Average enqueue time increase.
Metric
Description
Average enqueue time
Average time (in milliseconds) from enqueue to dequeue of messages.
Average enqueue time increase
Increase of average enqueue time counted as the delta between samples. (The wait time of messages before they’re consumed.)
Memory usage
Percentage usage of memory limit for NON_PERSISTENT messages.
Store usage
Percentage usage of storage limit for PERSISTENT messages.
Temp usage
Percentage usage of storage limit for temporary messages.
Current connections
Number of currently open connections.
Total connections
Number of connections since last broker restart.
Producers
From TotalProducerCount.
Consumers
From TotalConsumerCount.
Queue size
Number of messages in the queue/store that haven’t been acknowledged by a consumer.
Enqueue count
Number of messages sent to the queue since the last restart.
Dequeue count
Number of messages removed from the queue (acknowledged by consumer) since last restart.
Dispatch count
Number of messages sent to consumer sessions (Dequeue + Inflight).
Expired count
Number of messages not delivered because they expired.
In Flight count
Number of messages sent to a consumer session that haven’t received an ack.