Merge "cleanup telemetry best practices"
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commit
31cd63de18
@ -13,54 +13,47 @@ Data collection
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- Based on your needs, you can edit the ``pipeline.yaml`` configuration
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file to include a selected number of meters while disregarding the
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rest.
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rest. Similarly, in Ocata, you will need to edit ``polling.yaml`` to
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define which meters to generate.
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- By default, Telemetry service polls the service APIs every 10
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minutes. You can change the polling interval on a per meter basis by
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editing the ``pipeline.yaml`` configuration file.
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.. warning::
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If the polling interval is too short, it will likely cause
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increase of stored data and the stress on the service APIs.
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- Expand the configuration to have greater control over different meter
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intervals.
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editing the ``polling.yaml`` configuration file.
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.. note::
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For more information, see the
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:ref:`telemetry-pipeline-configuration`.
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Prior to Ocata, the polling configuration was handled by
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``pipeline.yaml``
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#. If you are using the Kilo version of Telemetry, you can delay or adjust
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polling requests by enabling the jitter support. This adds a random
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delay on how the polling agents send requests to the service APIs. To
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enable jitter, set ``shuffle_time_before_polling_task`` in the
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``ceilometer.conf`` configuration file to an integer greater
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.. warning::
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If the polling interval is too short, it will likely increase the
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stress on the service APIs.
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- Expand the configuration to have greater control over different meter
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intervals. For more information, see the
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:ref:`telemetry-pipeline-configuration`.
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#. You can delay or adjust polling requests by enabling the jitter support.
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This adds a random delay on how the polling agents send requests to the
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service APIs. To enable jitter, set ``shuffle_time_before_polling_task`` in
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the ``ceilometer.conf`` configuration file to an integer greater
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than 0.
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#. If you are using Juno or later releases, based on the number of
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resources that will be polled, you can add additional central and
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compute agents as necessary. The agents are designed to scale
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horizontally.
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.. note::
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For more information see, :ref:`ha-deploy-services`.
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#. If you are using Juno or later releases, use the ``notifier://``
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publisher rather than ``rpc://`` as there is a certain level of overhead
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that comes with RPC.
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.. note::
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For more information on RPC overhead, see `RPC overhead
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info <https://www.rabbitmq.com/tutorials/tutorial-six-python.html>`__.
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#. If polling many resources or at a high frequency, you can add additional
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central and compute agents as necessary. The agents are designed to scale
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horizontally. For more information see, :ref:`ha-deploy-services`.
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Data storage
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------------
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.. note::
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As of Newton, data storage is not recommended in ceilometer. Alarm,
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metric, and event data should be stored in aodh, gnocchi, and panko
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respectively. The following details only relate to ceilometer's legacy
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API.
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#. We recommend that you avoid open-ended queries. In order to get better
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performance you can use reasonable time ranges and/or other query
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constraints for retrieving measurements.
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@ -81,13 +74,13 @@ Data storage
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.. note::
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As of the Liberty release, the number of items returned will be
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The number of items returned will be
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restricted to the value defined by ``default_api_return_limit`` in the
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``ceilometer.conf`` configuration file. Alternatively, the value can
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be set per query by passing ``limit`` option in request.
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#. You can install the API behind ``mod_wsgi``, as it provides more
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settings to tweak, like ``threads`` and ``processes`` in case of
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#. We recommend that you install the API behind ``mod_wsgi``, as it provides
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more settings to tweak, like ``threads`` and ``processes`` in case of
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``WSGIDaemon``.
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.. note::
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@ -107,11 +100,6 @@ Data storage
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For more information on how to set the TTL, see
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:ref:`telemetry-storing-samples`.
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#. We recommend that you do not use SQLAlchemy back end prior to the Juno
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release, as it previously contained extraneous relationships to handle
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deprecated data models. This resulted in extremely poor query
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performance.
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#. We recommend that you do not run MongoDB on the same node as the
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controller. Keep it on a separate node optimized for fast storage for
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better performance. Also it is advisable for the MongoDB node to have a
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