Hazelcast

Host

To configure this check for an Agent running on a host:

Metric collection

1. Edit the hazelcast.d/conf.yaml file, in the conf.d/ folder at the root of your Agent’s configuration directory to start collecting your Hazelcast performance data. See the sample hazelcast.d/conf.yaml for all available configuration options.

   This check has a limit of 350 metrics per instance. The number of returned metrics is indicated in the info page. You can specify the metrics you are interested in by editing the configuration below. To learn how to customize the metrics to collect, see the JMX Checks documentation for more detailed instructions. If you need to monitor more metrics, contact Datadog support.

2. Restart the Agent.

Log collection

1. Hazelcast supports many different logging adapters. Here is an example of a log4j2.properties file:

   rootLogger=file
   rootLogger.level=info
   property.filepath=/path/to/log/files
   property.filename=hazelcast
   
   appender.file.type=RollingFile
   appender.file.name=RollingFile
   appender.file.fileName=${filepath}/${filename}.log
   appender.file.filePattern=${filepath}/${filename}-%d{yyyy-MM-dd}-%i.log.gz
   appender.file.layout.type=PatternLayout
   appender.file.layout.pattern = %d{yyyy-MM-dd HH:mm:ss} [%thread] %level{length=10} %c{1}:%L - %m%n
   appender.file.policies.type=Policies
   appender.file.policies.time.type=TimeBasedTriggeringPolicy
   appender.file.policies.time.interval=1
   appender.file.policies.time.modulate=true
   appender.file.policies.size.type=SizeBasedTriggeringPolicy
   appender.file.policies.size.size=50MB
   appender.file.strategy.type=DefaultRolloverStrategy
   appender.file.strategy.max=100
   
   rootLogger.appenderRefs=file
   rootLogger.appenderRef.file.ref=RollingFile
   
   #Hazelcast specific logs.
   
   #log4j.logger.com.hazelcast=debug
   
   #log4j.logger.com.hazelcast.cluster=debug
   #log4j.logger.com.hazelcast.partition=debug
   #log4j.logger.com.hazelcast.partition.InternalPartitionService=debug
   #log4j.logger.com.hazelcast.nio=debug
   #log4j.logger.com.hazelcast.hibernate=debug
   

2. By default, Datadog’s integration pipeline supports the following conversion pattern:

   %d{yyyy-MM-dd HH:mm:ss} [%thread] %level{length=10} %c{1}:%L - %m%n
   

   Clone and edit the integration pipeline if you have a different format.

3. Collecting logs is disabled by default in the Datadog Agent. Enable it in your datadog.yaml file:

   logs_enabled: true
   

4. Add the following configuration block to your hazelcast.d/conf.yaml file. Change the path and service parameter values based on your environment. See the sample hazelcast.d/conf.yaml for all available configuration options.

   logs:
     - type: file
       path: /var/log/hazelcast.log
       source: hazelcast
       service: <SERVICE>
       log_processing_rules:
         - type: multi_line
           name: log_start_with_date
           pattern: \d{4}\.\d{2}\.\d{2}
   

5. Restart the Agent.

Containerized

Metric collection

For containerized environments, see the Autodiscovery with JMX guide.

Log collection

Collecting logs is disabled by default in the Datadog Agent. To enable it, see Docker log collection.