You can collect broker stats, ZooKeeper stats, and BookKeeper stats.

You can collect Pulsar broker metrics from brokers and export the metrics in JSON format. The Pulsar broker metrics mainly have two types:

  • Destination dumps, which contain stats for each individual topic. You can fetch the destination dumps using the command below:

  • Broker metrics, which contain the broker information and topics stats aggregated at namespace level. You can fetch the broker metrics using the command below:

    All the message rates are updated every 1min.

    The local Zookeeper and configuration store server and clients that are shipped with Pulsar have been instrumented to expose detailed stats through Prometheus as well.

    1. http://$LOCAL_ZK_SERVER:8000/metrics
    2. http://$GLOBAL_ZK_SERVER:8001/metrics

    The default port of local ZooKeeper is 8000 and the default port of configuration store is 8001. You can change the default port of local Zookeeper and configuration store by specifying system property .

    For BookKeeper you can configure the stats frameworks by changing the statsProviderClass in conf/bookkeeper.conf.

    The default BookKeeper configuration, which is included with Pulsar distribution, enables the Prometheus exporter.

    The default port for bookie is 8000 (instead of 8080). You can change the port by configuring in conf/bookkeeper.conf.

    When you run Pulsar on bare metal, you can provide the list of nodes that needs to be probed. When you deploy Pulsar in a Kubernetes cluster, the monitoring is automatically setup with the provided instructions.

    When you collect time series statistics, the major problem is to make sure the number of dimensions attached to the data does not explode.

    For that reason you only need to collect time series of metrics aggregated at the namespace level.

    The per-topic dashboard instructions are available at .

    You can use grafana to easily create dashboard driven by the data that is stored in Prometheus.

    Enter the command below to use the dashboard manually:

    1. docker run -p3000:3000 \
    2.         -e PROMETHEUS_URL=http://$PROMETHEUS_HOST:9090/ \