Apache ActiveMQ Artemis can export metrics to a variety of monitoring systems via the Micrometer vendor-neutral application metrics facade.
Important runtime metrics have been instrumented via the Micrometer API, and all a user needs to do is implement org.apache.activemq.artemis.core.server.metrics.ActiveMQMetricsPlugin
in order to instantiate and configure a io.micrometer.core.instrument.MeterRegistry
implementation. Relevant implementations of MeterRegistry
are available from the Micrometer code-base.
This is a simple interface:
public interface ActiveMQMetricsPlugin extends Serializable {
ActiveMQMetricsPlugin init(Map<String, String> options);
MeterRegistry getRegistry();
default void registered(ActiveMQServer server) { }
}
When the broker starts it will call init
and pass in the options
which can be specified in XML as key/value properties. At this point the plugin should instantiate and configure the io.micrometer.core.instrument.MeterRegistry
implementation.
Later during the broker startup process it will call getRegistry
in order to get the MeterRegistry
implementation and use it for registering meters. Once registered, it will call registered
to provide the plugin with a handle to the server. The plugin can then use that handle later to inspect whether the broker is operational and not in a startup or shutdown phase.
The broker ships with two ActiveMQMetricsPlugin
implementations:
org.apache.activemq.artemis.core.server.metrics.plugins.LoggingMetricsPlugin
This plugin simply logs metrics. It’s not very useful for production, but can serve as a demonstration of the Micrometer integration. It takes no key/value properties for configuration.
org.apache.activemq.artemis.core.server.metrics.plugins.SimpleMetricsPlugin
This plugin is used for testing. It is in-memory only and provides no external output. It takes no key/value properties for configuration.
1. Exported Metrics
The following metrics are exported, categorized by component. A description for each metric is exported along with the metric itself therefore the description will not be repeated here.
1.1. Broker
connection.count
total.connection.count
address.memory.usage
address.memory.usage.percentage
disk.store.usage
1.2. Address
routed.message.count
unrouted.message.count
address.size
number.of.pages
1.3. Queue
message.count
durable.message.count
persistent.size
durable.persistent.size
delivering.message.count
delivering.durable.message.count
delivering.persistent.size
delivering.durable.persistent.size
scheduled.message.count
scheduled.durable.message.count
scheduled.persistent.size
scheduled.durable.persistent.size
messages.acknowledged
messages.added
messages.killed
messages.expired
consumer.count
It may appear that some higher level broker metrics are missing (e.g. total message count). However, these metrics can be deduced by aggregating the lower level metrics (e.g. aggregate the message.count metrics from all queues to get the total).
1.4. Optional metrics
There are a handful of other useful metrics that are related to the JVM, the underlying operating system, etc.
JVM memory metrics
Gauges buffer and memory pool utilization. Underlying data gathered from Java’s BufferPoolMXBeans and MemoryPoolMXBeans.
Enabled by default.
JVM GC
Gauges max and live data size, promotion and allocation rates, and the number of times the GC pauses (or concurrent phase time in the case of CMS). Underlying data gathered from Java’s MemoryPoolMXBeans.
Disabled by default.
JVM thread
Gauges thread peak, the number of daemon threads, and live threads. Underlying data gathered from Java’s ThreadMXBean.
Disabled by default.
Netty
Collects metrics from Netty’s PooledByteBufAllocatorMetric.
Disabled by default.
File descriptors
Gauges current and max-allowed open files.
Disabled by default.
Processor
Gauges system CPU count, CPU usage, and 1-minute load average as well as process CPU usage.
Disabled by default.
Uptime
Gauges process start time and uptime.
Disabled by default.
Logging
Counts the number of logging events per logging category (e.g. WARN
, ERROR
, etc.).
Disabled by default.
This works exclusively with Log4j2 (i.e the default logging implementation shipped with the broker). If you’re embedding the broker and using a different logging implementation (e.g. Log4j 1.x, JUL, Logback, etc.) and you enable these metrics then the broker will fail to start with a |
2. Configuration
Metrics for all addresses and queues are enabled by default. If you want to disable metrics for a particular address or set of addresses you can do so by setting the enable-metrics
address-setting
to false
.
In broker.xml
use the metrics
element to configure which general broker and JVM metrics are reported and to configure the plugin itself. Here’s a configuration with all optional metrics:
<metrics>
<jvm-memory>true</jvm-memory> <!-- defaults to true -->
<jvm-gc>true</jvm-gc> <!-- defaults to false -->
<jvm-threads>true</jvm-threads> <!-- defaults to false -->
<netty-pool>true</netty-pool> <!-- defaults to false -->
<file-descriptors>true</file-descriptors> <!-- defaults to false -->
<processor>true</processor> <!-- defaults to false -->
<uptime>true</uptime> <!-- defaults to false -->
<logging>true</logging> <!-- defaults to false -->
<plugin class-name="org.apache.activemq.artemis.core.server.metrics.plugins.LoggingMetricsPlugin"/>
</metrics>
The plugin can also be configured with key/value properties in order to customize the implementation as necessary, e.g.:
<metrics>
<plugin class-name="org.example.MyMetricsPlugin">
<property key="host" value="example.org" />
<property key="port" value="5162" />
<property key="foo" value="10" />
</plugin>
</metrics>