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|
===========================
Tableau Prometheus Exporter
===========================
Tableau Server Manager Prometheus Exporter
This repository contains the codebase to expose the Tableau Server Manager metrics to prometheus and visualize them in grafana.
---------------
Metrics Example
---------------
.. code-block::
# HELP tableau_service_status Tableau services statuses
# TYPE tableau_service_status gauge
tableau_service_status{instance_id="0",node_id="node2",service_name="filestore",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="authnservice",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="databasemaintenance",state="Disabled",status="Stopped"} 0.0
tableau_service_status{instance_id="0",node_id="node2",service_name="dataserver",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="1",node_id="node2",service_name="dataserver",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="cacheserver",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="1",node_id="node2",service_name="cacheserver",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="interactive",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="searchserver",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="statsservice",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="vizportal",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="1",node_id="node2",service_name="vizportal",state="Enabled",status="Active"} 1.0
tableau_service_status{instance_id="0",node_id="node2",service_name="backuprestore",state="Disabled",status="Stopped"} 0.0
--------------------
Install it from PyPI
--------------------
.. code-block:: bash
$ pip install tableau-prometheus-exporter
-----
Usage
-----
**Python**
.. code-block:: python
from tableau_prometheus_exporter.server import Server
Server(config).start_and_run_forever()
**Command Line**
.. code-block:: bash
$ python -m tableau_prometheus_exporter --h
**Docker**
.. code-block:: bash
$ docker run --rm -p 8000:8000 -v ${PWD}/config.yaml:/app/config.yaml tableau-prometheus-exporter --config-file config.yaml
Go to http://localhost:8000/ to see the metrics.
-------------
Configuration
-------------
A sample configuration can be found at
`samples/config.yaml.template <https://github.com/freenowtech/tableau-prometheus-exporter/blob/main/samples/config.yaml.template>`_
---------
Dashboard
---------
A sample Grafana Dashboard can be found at
`samples/grafana.json <https://github.com/freenowtech/tableau-prometheus-exporter/blob/main/samples/grafana.json>`_
.. image:: samples/dashboard.jpeg
:width: 80%
:align: center
:alt: Grafana Dashboard
--------
Alerting
--------
A sample of prometheus alert can be found at
`samples/prometheus.yaml <https://github.com/freenowtech/tableau-prometheus-exporter/blob/main/samples/prometheus.yaml>`_
------------
Contributing
------------
Please refer to the `CONTRIBUTING <https://github.com/freenowtech/tableau-prometheus-exporter/blob/main/CONTRIBUTING.md>`_
file for information about how to get involved. We welcome issues, questions, and pull requests.
----
Note
----
This project has been set up using PyScaffold 4.5. For details and usage
information on PyScaffold see https://pyscaffold.org/.
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