Data collection
ActiveMQ
Broker connections, consumers, message backlog, enqueue and dequeue rates, and store, memory, and JVM heap usage over the Jolokia JMX-HTTP bridge.
- Metrics
- Agentless
- Package 1.0.0
What it collects
- Signals
- Metrics
- How it collects
- HTTP API polling (
http_poll) - Where it runs
- Agentless: your workspace's cloud gateway can run it, with nothing to install. Collectors you install can run it too.
- Package version
- 1.0.0
Included in the package
- ActiveMQ overview dashboard, 8 panels
How to connect it
- 01Open the connect wizardIn the Tracix console, open Integrations and pick ActiveMQ.
- 02Choose where it runsAgentless runs it on your workspace's cloud gateway. Pick a policy to run it on collectors you install.
- 03Fill in the connectionEnter the settings the wizard asks for. Collectors pick up the policy change on their own.
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Broker, topic, consumer-group lag and partition health from Kafka clusters.
Metrics
RabbitMQ
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Queue depth, consumer rates, exchange health from the RabbitMQ Management API.
Metrics
IBM MQ
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IBM MQ queue manager error logs, with JSON diagnostic records parsed in full and classic AMQERR text logs parsed line by line for message codes, severity, and…
Logs
Kafka Connect
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Connector and task health from the Kafka Connect REST API, including running, paused, and failed connector counts.
Metrics
NATS
Message queues
Connections, subscriptions, msgs/sec and JetStream stats via the Prometheus NATS exporter.
Metrics
NATS Streaming (STAN)
Message queues
NATS Streaming server logs parsed into process, subsystem, severity, and timestamp fields from the nats-server line format.
Logs
Connect ActiveMQ to Tracix
Start free and connect it from the console, or book a demo and we will walk through your environment with you.