Configuration Options

For the list and description of configuration options that can be set for Ceilometer in order to set up the services please see the Telemetry section in the OpenStack Manuals Configuration Reference.


This storage implementation uses Thrift HBase interface. The default Thrift connection settings should be changed to support using ConnectionPool in HBase. To ensure proper configuration, please add the following lines to the hbase-site.xml configuration file:


For pure development purposes, you can use HBase from Apache or some other vendor like Cloudera or Hortonworks. To verify your installation, you can use the list command in HBase shell, to list the tables in your HBase server, as follows:

$ ${HBASE_HOME}/bin/hbase shell

hbase> list


This driver has been tested against HBase 0.94.2/CDH 4.2.0, HBase 0.94.4/HDP 1.2, HBase 0.94.18/Apache, HBase 0.94.5/Apache, HBase 0.96.2/Apache and HBase 0.98.0/Apache. Versions earlier than 0.92.1 are not supported due to feature incompatibility.

To find out more about supported storage backends please take a look on the Installing Manually guide.


If you are changing the configuration on the fly to use HBase, as a storage backend, you will need to restart the Ceilometer services that use the database to allow the changes to take affect, i.e. the collector and API services.

Sample Configuration file

The sample configuration file for Ceilometer, named etc/ceilometer/ceilometer.conf.sample, was removed from version control after the Icehouse release. For more details, please read the file etc/ceilometer/README-ceilometer.conf.txt. You can generate this sample configuration file by running tox -e genconfig.


tox version 1.7.0 and 1.7.1 have a backward compatibility issue with OpenStack projects. If you meet the “tox.ConfigError: ConfigError: substitution key ‘posargs’ not found” problem, run sudo pip install -U "tox>=1.6.1,!=1.7.0,!=1.7.1" to get a proper version, then try tox -e genconfig again.


Pipelines describe a coupling between sources of samples and the corresponding sinks for transformation and publication of the samples.

A source is a producer of samples, in effect a set of pollsters and/or notification handlers emitting samples for a set of matching meters. See Writing Agent Plugins for details on how to write and plug in your plugins.

Each source configuration encapsulates meter name matching, polling interval determination, optional resource enumeration or discovery, and mapping to one or more sinks for publication.

A sink on the other hand is a consumer of samples, providing logic for the transformation and publication of samples emitted from related sources. Each sink configuration is concerned only with the transformation rules and publication conduits for samples.

In effect, a sink describes a chain of handlers. The chain starts with zero or more transformers and ends with one or more publishers. The first transformer in the chain is passed samples from the corresponding source, takes some action such as deriving rate of change, performing unit conversion, or aggregating, before passing the modified sample to next step.

The chains end with one or more publishers. This component makes it possible to persist the data into storage through the message bus or to send it to one or more external consumers. One chain can contain multiple publishers, see the Pipeline Manager section.

Pipeline configuration

Pipeline configuration by default, is stored in a separate configuration file, called pipeline.yaml, next to the ceilometer.conf file. The pipeline configuration file can be set in the pipeline_cfg_file parameter in ceilometer.conf. Multiple chains can be defined in one configuration file.

The chain definition looks like the following:

  - name: 'source name'
    interval: 'how often should the samples be injected into the pipeline'
      - 'meter filter'
      - 'list of resource URLs'
      - 'list of discoverers'
      - 'sink name'
  - name: 'sink name'
    transformers: 'definition of transformers'
      - 'list of publishers'

The name parameter of a source is unrelated to anything else; nothing references a source by name, and a source’s name does not have to match anything.

The interval parameter in the sources section should be defined in seconds. It determines the cadence of sample injection into the pipeline, where samples are produced under the direct control of an agent, i.e. via a polling cycle as opposed to incoming notifications.

There are several ways to define the list of meters for a pipeline source. The list of valid meters can be found in the Measurements section. There is a possibility to define all the meters, or just included or excluded meters, with which a source should operate:

  • To include all meters, use the ‘*’ wildcard symbol.
  • To define the list of meters, use either of the following:
    • To define the list of included meters, use the ‘meter_name’ syntax
    • To define the list of excluded meters, use the ‘!meter_name’ syntax
    • For meters, which identify a complex Sample field, use the wildcard symbol to select all, e.g. for “”, use “disk.*”

The above definition methods can be used in the following combinations:

  • Only the wildcard symbol
  • The list of included meters
  • The list of excluded meters
  • Wildcard symbol with the list of excluded meters


At least one of the above variations should be included in the meters section. Included and excluded meters cannot co-exist in the same pipeline. Wildcard and included meters cannot co-exist in the same pipeline definition section.

A given polling plugin is invoked according to each source section whose meters parameter matches the plugin’s meter name. That is, the matching source sections are combined by union, not intersection, of the prescribed time series.

The optional resources section of a pipeline source allows a list of static resource URLs to be configured. An amalgamated list of all statically configured resources for a set of pipeline sources with a common interval is passed to individual pollsters matching those pipelines.

The optional discovery section of a pipeline source contains the list of discoverers. These discoverers can be used to dynamically discover the resources to be polled by the pollsters defined in this pipeline. The name of the discoverers should be the same as the related names of plugins in setup.cfg.

If resources or discovery section is not set, the default value would be an empty list. If both resources and discovery are set, the final resources passed to the pollsters will be the combination of the dynamic resources returned by the discoverers and the static resources defined in the resources section. If there are some duplications between the resources returned by the discoverers and those defined in the resources section, the duplication will be removed before passing those resources to the pollsters.

There are three ways a pollster can get a list of resources to poll, as the following in descending order of precedence:

  1. From the per-pipeline configured discovery and/or static resources.
  2. From the per-pollster default discovery.
  3. From the per-agent default discovery.

The transformers section of a pipeline sink provides the possibility to add a list of transformer definitions. The names of the transformers should be the same as the names of the related extensions in setup.cfg. For a more detailed description, please see the transformers section of the Administrator Guide of Ceilometer.

The publishers section contains the list of publishers, where the samples data should be sent after the possible transformations. The names of the publishers should be the same as the related names of the plugins in setup.cfg.

The default configuration can be found in pipeline.yaml.


For more information about publishers see the publishers section of the Administrator Guide of Ceilometer.

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