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https://github.com/streamnative/apache-pulsar-grafana-dashboard

Apache Pulsar Grafana Dashboard
https://github.com/streamnative/apache-pulsar-grafana-dashboard

apache-pulsar grafana grafana-dashboard pub-sub pulsar

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Apache Pulsar Grafana Dashboard

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# Apache Pulsar Grafana Dashboard

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The Grafana dashboard docker image is available at

[Docker Hub](https://hub.docker.com/r/streamnative/apache-pulsar-grafana-dashboard).



To use this dashboard image, provide the following environment variables: 



- *PULSAR_PROMETHEUS_URL*: The HTTP URL that points to your prometheus service. For example, `http://:9090`.

- *PULSAR_CLUSTER*: The pulsar cluster name. The cluster name is aligned with your prometheus configuration.

  See [Prometheus](#prometheus) for more details.



## Prometheus



To display the metrics correctly with this dashboard, configure your Prometheus server to collect metrics from Pulsar correctly.



1. Attach your prometheus service to an extra label - `cluster`. The cluster name is aligned with the `PULSAR_CLUSTER` name you have provided to the grafana dashboard.

   ```yaml

   global:

     ...

     external_labels:

       cluster: 

   ```



2. Make sure the job name of each component is the same with the ones in this dashboard.

   - job *proxy*: the machines that run pulsar proxies.

   - job *broker*: the machines that run pulsar brokers.

   - job *bookie*: the machines that run bookies.

   - job *zookeeper*: the machines that run zookeeper.

   - job *node_metrics*: all the machines of the pulsar cluster.



How to configure your prometheus server to collect the metrics of a Pulsar cluster, refer to [example prometheus config](prometheus/cluster.yml.template).



## Usage



Use this Grafana Dashboard on a standalone cluster.



#### Start Pulsar Standalone



Download the pulsar binary and follow the instruction to

[start a standalone cluster](http://pulsar.apache.org/docs/en/standalone/) on your computer.



#### Start Prometheus



1. Generate a Prometheus config file.



Two options are available to generate a prometheus config file.

- Copy the template file [prometheus/standalone.yml.template](prometheus/standalone.yml.template), and replace `{{ STANDALONE_HOST }}` with your IP address of the machine running pulsar standalone.

- Install [j2cli](https://github.com/kolypto/j2cli). j2cli is a command-line tool for templating [Jinja2](http://jinja.pocoo.org/docs/)

template files. You can use j2cli to generate a Prometheus config file from the standalone template.



```bash



$ STANDALONE_HOST="$(ifconfig | grep "inet " | grep -v 127.0.0.1 | awk '{ print $2 }')" j2 prometheus/standalone.yml.template > /tmp/standalone.prometheus.yml



```



In Ubuntu, set `STANDALONE_HOST` as below.

```bash



$ STANDALONE_HOST="$(ifconfig | grep "inet " | grep -v 127.0.0.1 | awk '{ print $2 }' | awk -F ':' '{ print $2 }' | awk 'NR==2')" j2 prometheus/standalone.yml.template > /tmp/standalone.prometheus.yml



```



If it doesn't work properly, you can set the IP manually.



2. Run Prometheus with the generated prometheus config file.



```bash

docker run -p 9090:9090 -v /tmp/standalone.prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

```



After running the prometheus successfully, you have access to http://localhost:9090/targets, where you can see prometheus detecting all pulsar components, shown as follows.



![](images/prometheus-targets.png?raw=true)



#### Start Grafana Dashbard



When you have a Pulsar standalone and a Prometheus server connecting to the Pulsar standalone, you can start with the Grafana Dashboard.



```bash

export PULSAR_PROMETHEUS_URL=http://$(ifconfig | grep "inet " | grep -v 127.0.0.1 | awk '{ print $2 }'):9090

export PULSAR_CLUSTER=standalone

docker run -it -p 3000:3000 -e PULSAR_PROMETHEUS_URL="${PULSAR_PROMETHEUS_URL}" -e PULSAR_CLUSTER="${PULSAR_CLUSTER}" streamnative/apache-pulsar-grafana-dashboard:latest 

```



In Ubuntu, set `PULSAR_PROMETHEUS_URL` in this way.



```bash

export PULSAR_PROMETHEUS_URL=http://$(ifconfig | grep "inet " | grep -v 127.0.0.1 | awk '{ print $2 }' | awk -F ':' '{ print $2 }' | awk 'NR==2'):9090

```



If it doesn't work properly, you can set the IP manually.  



Access the Grafana Dashboard at http://localhost:3000.

The default user name is `admin`, the default password is `happypulsaring`, and they are set in the [conf/grafana.ini](conf/grafana.ini) file.



## Import dashboard to your Grafana installation



> First of all, you need to make sure your prometheus is configured to attach `cluster`

> label as described in section [#prometheus](#prometheus).



If you already have a grafana installation and you would like to import the dashboards to your grafana installation.



You can run [scripts/generate_dashboards.sh](scripts/generate_dashboards.sh) to generate a datasource and

the dashboard files that you can use to import to your installation.



```bash

./scripts/generate_dashboards.sh  

```



- ``: The url points to your prometheus servcie. E.g. `http://localhost:9090`

- ``: Your pulsar cluster name.



The datasource yaml file and dashboard json files will be generated under `target/datasources` and `target/dashboards`.

You can then import those files into your grafana installation.



## Details



The Grafana Docker Image contains the following built-in dashboards for different components in an Apache Pulsar cluster.

These dashboards are:



- *Overview*: This renders the overview health of a Pulsar cluster.

- *Messaging Metrics*: This renders the metrics related to Pulsar messaging (e.g. producers, consumers, msg backlog and so on).

- *Proxy Metrics*: This renders the metrics related to Pulsar proxies if you have run proxies in your Pulsar clusters. _This doesn't apply to a standalone cluster._

- *Bookie Metrics*: This renders the metrics related to Bookies. _This doesn't apply to a Standalone cluster since a Pulsar standalone doesn't expose bookie metrics._

- *ZooKeeper*: This renders the metrics related to ZooKeeper cluster.

- *JVM Metrics*: This renders the jvm related metrics of all the components in a Pulsar cluster (For example, proxies, brokers, bookies, and so on).



System metrics are rendered in the *Node Metrics* dashboard and some portions in *Overview* dashboard.

The system metrics used by these dashboards are collected by Prometheus [Node Exporter](https://github.com/prometheus/node_exporter).

So you have to configure each pulsar machine to run node exporter, and configure your Prometheus to scrape the metrics from node exporters.



## Build Your Own Image (Optional)



To customize and build your own dashboard image, issue the following command:



```bash

make

```



Checkout [Makefile](Makefile) for the details of the command used for building the docker image.



## License

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