Merge "Cosmetic changes for system architecture docs"
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@ -25,7 +25,7 @@ High-Level Architecture
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An overall summary of Ceilometer's logical architecture.
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An overall summary of Ceilometer's logical architecture.
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Each of Ceilometer's services are designed to scale horizontally. Additional
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Each of Ceilometer's services are designed to scale horizontally. Additional
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workers and nodes can added depending on the expected load. Ceilometer offers
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workers and nodes can be added depending on the expected load. Ceilometer offers
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five core services, the data agents designed to work independently from
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five core services, the data agents designed to work independently from
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collection and alarming, but also designed to work together as a
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collection and alarming, but also designed to work together as a
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complete solution:
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complete solution:
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@ -85,7 +85,7 @@ Notification Agents: Listening for data
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The heart of the system is the notification daemon (agent-notification)
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The heart of the system is the notification daemon (agent-notification)
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which monitors the message bus for data being provided by other
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which monitors the message bus for data being provided by other
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OpenStack components such as Nova, Glance, Cinder, Neutron, Swift, Keystone,
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OpenStack components such as Nova, Glance, Cinder, Neutron, Swift, Keystone,
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and Heat
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and Heat.
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The notification daemon loads one or more *listener* plugins, using the
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The notification daemon loads one or more *listener* plugins, using the
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namespace ``ceilometer.notification``. Each plugin can listen to any topics,
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namespace ``ceilometer.notification``. Each plugin can listen to any topics,
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@ -152,7 +152,7 @@ Pipeline Manager
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:align: center
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:align: center
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:alt: Ceilometer pipeline
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:alt: Ceilometer pipeline
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The assembly of components making the Ceilometer pipeline
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The assembly of components making the Ceilometer pipeline.
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Ceilometer offers the ability to take data gathered by the agents, manipulate
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Ceilometer offers the ability to take data gathered by the agents, manipulate
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it, and publish it in various combinations via multiple pipelines.
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it, and publish it in various combinations via multiple pipelines.
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@ -166,7 +166,7 @@ Transforming the data
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:alt: Transformer example
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:alt: Transformer example
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Example of aggregation of multiple cpu time usage samples in a single
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Example of aggregation of multiple cpu time usage samples in a single
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cpu percentage sample
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cpu percentage sample.
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The data gathered from the polling and notifications agents contains a wealth
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The data gathered from the polling and notifications agents contains a wealth
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of data and if combined with historical or temporal context, can be used to
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of data and if combined with historical or temporal context, can be used to
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