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Wednesday, May 14 • 1:50pm - 2:30pm
Revise data model to improve performance

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Currently ceilometer data model is not able to provide good performance at high scale. I think that we should discuss possible changes needed in data model needed to achieve better performance.

To achieve this we need:
* analyze existing bottlenecks
* analyze end-user use-cases (to find rarely used cases or to cover cases that are highly demanded)
* discuss improvements in model that can be done to achieve better performance and coverage of use-cases

New model may also require releasing a new version of the API.

(Session proposed by Alexei Kornienko)


Wednesday May 14, 2014 1:50pm - 2:30pm EDT
B305

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