Clarify flavor and overcommit constraints
Clarify that and instance may not overcommit itself if its flavor requires more than the physical nodes raw (pre-overcommit) resources. Change-Id: I65e06ff77dd2b91955bfb5ae460cc1a6ac4093fd Closes-Bug: #1488474
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@ -568,6 +568,12 @@
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the instances reaches 72 GB (such as nine instances, in the case where
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each instance has 8 GB of RAM).</para>
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<note>
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<para>Regardless of the overcommit ratio, an instance can not be placed
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on any physical node with fewer raw (pre-overcommit) resources than
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the instance flavor requires.</para>
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</note>
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<para>You must select the appropriate CPU and RAM allocation ratio for
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your particular use case.</para>
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</section>
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@ -186,6 +186,12 @@
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</listitem>
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</itemizedlist>
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<note>
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<para>Regardless of the overcommit ratio, an instance can not be placed
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on any physical node with fewer raw (pre-overcommit) resources than
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instance flavor requires.</para>
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</note>
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<para>However, you need more than the core count alone to estimate the
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load that the API services, database servers, and queue servers are likely
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to encounter. You must also consider the usage patterns of your
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@ -296,6 +296,11 @@ allocates instances to that node until the sum of the RAM associated
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with the instances reaches 72 GB (such as nine instances, in the case
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where each instance has 8 GB of RAM).
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.. note::
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Regardless of the overcommit ratio, an instance can not be placed
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on any physical node with fewer raw (pre-overcommit) resources than
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the instance flavor requires.
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You must select the appropriate CPU and RAM allocation ratio for your
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particular use case.
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@ -87,6 +87,11 @@ and require 80 TB of storage for ``/var/lib/nova/instances``:
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- Default CPU overcommit ratio (``cpu_allocation_ratio`` in nova.conf)
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of 16:1.
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.. note::
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Regardless of the overcommit ratio, an instance can not be placed
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on any physical node with fewer raw (pre-overcommit) resources than
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instance flavor requires.
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However, you need more than the core count alone to estimate the load
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that the API services, database servers, and queue servers are likely to
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encounter. You must also consider the usage patterns of your cloud.
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