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Using Ceilometer Commands
Revanth Kumar edited this page Dec 11, 2015
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Meters
- Meters simply measure a particular aspect of resource usage (e.g. the existence of a running instance) or of ongoing performance (e.g. the current CPU utilization % for that instance). As such meters exist per-resource, in that there is a separate cpu_util meter for example for each instance. The lifecycle of meters is also decoupled from the existence of the related resources, in the sense that the meter continues to exist after the resource has been terminated. While that may seem strange initially, think about how otherwise you could avoid being billed simply by shutting down all your instances the day before your cloud provider kicks off their monthly billing run!
- All meters have a string name, a unit of measurement, and a type indicating whether values are monotonically increasing (cumulative), interpreted as a change from the previous value (delta), or a standalone value relating only to the current duration (gauge).
- In earlier iterations of Ceilometer, we often used 'counter' as a synonym for 'meter', and this usage though now deprecated persists in some older documentation and deprecated aspects of the command line interpreter.
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Samples
- Sample are simply individual datapoints associated with a particular meter. As such, all samples encompass the same attributes as the meter itself, but with the addition of a timestamp and and a value (otherwise known as the sample 'volume').
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Statistics
- If a sample is a single datapoint, then a statistic is a set of such datapoints aggregates over a time duration.
- Ceilometer currently employs 5 different aggregation functions:
- count: the number of samples in each period
- max: the maxima of the sample volumes in each period
- min: the minima of the sample volumes in each period
- avg: the average of the sample volumes over each period
- sum: the sum of the sample volumes over each period
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Alarms
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Alarms are a new feature in Ceilometer for Havana intended to provide user-oriented Monitoring-as-a-Service for Openstack, with Heat autoscaling being the main motivating use-case, but also having general purpose utility. Essentially an alarm is just a set of rules defining a monitor, plus a current state, with edge-triggered actions associated with target states. These alarms follow a tri-state model of ok, alarm, and insufficient data.
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For conventional threshold-oriented alarms, state transitions are governed by:
- a static threshold value & comparison operator
- against which a selected meter statistic is compared
- over an evaluation window of configurable length into the recent past.
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We also support the concept of a meta-alarm, which aggregates over the current state of a set of other basic alarms combined via a logical operator (AND/OR).
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A key associated concept is the notion of dimensioning which defines the set of matching meters that feed into an alarm evaluation. Recall that meters are per-resource-instance, so in the simplest case an alarm might be defined over a particular meter applied to all resources visible to a particular user. More useful however would the option to explicitly select which specific resources we're interested in alarming on. On one extreme we would have narrowly dimensioned alarms where this selection would have only a single target (identified by resource ID). On the other extreme, we'd have widely dimensioned alarms where this selection identifies many resources over which the statistic is aggregated, for example all instances booted from a particular image or all instances with matching user metadata (the latter is how Heat identifies autoscaling groups).
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#!bash
$ ceilometer meter-list
+----------------------------+------------+-----------+---------------+-----------+--------------+
| Name | Type | Unit | Resource ID | User ID | Project ID |
+----------------------------+------------+-----------+---------------+-----------+--------------+
| cpu | cumulative | ns | INSTANCE_ID_1 | USER_ID_A | PROJECT_ID_X |
| cpu | cumulative | ns | INSTANCE_ID_2 | USER_ID_B | PROJECT_ID_Y |
| cpu | cumulative | ns | INSTANCE_ID_3 | USER_ID_C | PROJECT_ID_Z |
| cpu_util | gauge | % | INSTANCE_ID_1 | USER_ID_A | PROJECT_ID_X |
| cpu_util | gauge | % | INSTANCE_ID_3 | USER_ID_C | PROJECT_ID_Z |
| disk.ephemeral.size | gauge | GB | INSTANCE_ID_1 | USER_ID_A | PROJECT_ID_X |
| disk.ephemeral.size | gauge | GB | INSTANCE_ID_2 | USER_ID_B | PROJECT_ID_Y |
| disk.ephemeral.size | gauge | GB | INSTANCE_ID_3 | USER_ID_C | PROJECT_ID_Z |
| ... [snip] |
+----------------------------+------------+-----------+---------------+-----------+--------------+
#!bash
$ ceilometer meter-list --query project=PROJECT_ID_Y;user=USER_ID_B
+----------------------------+------------+-----------+---------------+-----------+--------------+
| Name | Type | Unit | Resource ID | User ID | Project ID |
+----------------------------+------------+-----------+---------------+-----------+--------------+
| cpu | cumulative | ns | INSTANCE_ID_2 | USER_ID_B | PROJECT_ID_Y |
| disk.ephemeral.size | gauge | GB | INSTANCE_ID_2 | USER_ID_B | PROJECT_ID_Y |
| ... [snip] |
+----------------------------+------------+-----------+---------------+-----------+--------------+
#!bash
//format for using queries
-q <field1><operator1><value1>;<field2><operator2><value2>;...;<field_n><operator_n><value_n>
#!bash
$ ceilometer sample-list --meter cpu
+---------------+------+------------+---------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+---------------+------+------------+---------------+------+---------------------+
| INSTANCE_ID_1 | cpu | cumulative | 1.6844e+11 | ns | 2013-10-01T08:48:29 |
| INSTANCE_ID_1 | cpu | cumulative | 1.7039e+11 | ns | 2013-10-01T08:58:28 |
| INSTANCE_ID_1 | cpu | cumulative | 1.7234e+11 | ns | 2013-10-01T09:08:28 |
| INSTANCE_ID_1 | cpu | cumulative | 1.743e+11 | ns | 2013-10-01T09:18:28 |
| INSTANCE_ID_1 | cpu | cumulative | 1.7626e+11 | ns | 2013-10-01T09:28:28 |
| ... [snip] |
| INSTANCE_ID_2 | cpu | cumulative | 2.9833e+11 | ns | 2013-10-01T08:48:29 |
| INSTANCE_ID_2 | cpu | cumulative | 2.6028e+11 | ns | 2013-10-01T08:58:28 |
| INSTANCE_ID_2 | cpu | cumulative | 3.7156e+11 | ns | 2013-10-01T09:08:28 |
| INSTANCE_ID_2 | cpu | cumulative | 3.7987e+11 | ns | 2013-10-01T09:18:28 |
| INSTANCE_ID_2 | cpu | cumulative | 2.6555e+11 | ns | 2013-10-01T09:28:28 |
| ... [snip] |
+---------------+------+------------+---------------+------+---------------------+
#!bash
$ ceilometer sample-list --meter cpu -q 'resource_id=INSTANCE_ID_1;timestamp>2013-10-01T09:00:00;timestamp<=2013-10-01T09:30:00'
+---------------+------+------------+---------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+---------------+------+------------+---------------+------+---------------------+
| INSTANCE_ID_1 | cpu | cumulative | 1.7234e+11 | ns | 2013-10-01T09:08:28 |
| INSTANCE_ID_1 | cpu | cumulative | 1.743e+11 | ns | 2013-10-01T09:18:28 |
| INSTANCE_ID_1 | cpu | cumulative | 1.7626e+11 | ns | 2013-10-01T09:28:28 |
+---------------+------+------------+---------------+------+---------------------+
#!bash
$ ceilometer statistics --meter cpu_util
+--------+--------------+------------+-------+------+-----+-----+-----+----------+----------------+----
| Period | Period Start | Period End | Count | Min | Max | Sum | Avg | Duration | Duration Start | ...
+--------+--------------+------------+-------+------+-----+-----+-----+----------+----------------+----
| 0 | PERIOD_START | PERIOD_END | 2024 | 0.25 | 6.2 | 550 | 2.9 | 85196.0 | DURATION_START | ...
+--------+--------------+------------+-------+------+-----+-----+-----+----------+----------------+----
#!bash
$ ceilometer --debug statistics -m cpu_util -q 'timestamp>START;timestamp<=END' --period 60
+--------+--------------+------------+-------+-----+-----+-----+-----+----------+----------------+----
| Period | Period Start | Period End | Count | Min | Max | Sum | Avg | Duration | Duration Start | ...
+--------+--------------+------------+-------+-----+-----+-----+-----+----------+----------------+----
| 60 | START | START+60 | 2 | 1.5 | 2.5 | 4.0 | 2.0 | 0.0 | DURATION_START | ...
| 60 | START+60 | START+120 | 2 | 2.5 | 3.5 | 6.0 | 3.0 | 0.0 | DURATION_START | ...
| ...[snip]
+--------+--------------+------------+-------+-----+-----+-----+-----+----------+----------------+----
#!bash
$ ceilometer alarm-threshold-create --name cpu_high --description 'instance running hot' \
--meter-name cpu_util --threshold 70.0 --comparison-operator gt --statistic avg \
--period 600 --evaluation-periods 3 \
--alarm-action 'log://' \
--query resource_id=INSTANCE_ID
+---------------------------+-----------------------------------------------------+
| Property | Value |
+---------------------------+-----------------------------------------------------+
| meter_name | cpu_util |
| alarm_actions | [u'log://'] |
| user_id | USER_ID |
| name | cpu_high |
| evaluation_periods | 3 |
| statistic | avg |
| enabled | True |
| period | 600 |
| alarm_id | ALARM_ID |
| state | insufficient data |
| query | resource_id == INSTANCE_ID |
| insufficient_data_actions | [] |
| repeat_actions | False |
| threshold | 70.0 |
| ok_actions | [] |
| project_id | PROJECT_ID |
| type | threshold |
| comparison_operator | gt |
| description | instance running hot |
+---------------------------+-----------------------------------------------------+
#!bash
$ ceilometer alarm-list
+----------+----------+-------------------+---------+------------+---------------------------------+
| Alarm ID | Name | State | Enabled | Continuous | Alarm condition |
+----------+----------+-------------------+---------+------------+---------------------------------+
| ALARM_ID | cpu_high | insufficient data | True | False | cpu_util > 70.0 during 3 x 600s |
#!bash
$ ceilometer alarm-update --threshold 75 -a ALARM_ID
+---------------------------+-----------------------------------------------------+
| Property | Value |
+---------------------------+-----------------------------------------------------+
| meter_name | cpu_util |
| alarm_actions | [u'log://'] |
| user_id | USER_ID |
| name | cpu_high |
| evaluation_periods | 3 |
| statistic | avg |
| enabled | True |
| period | 600 |
| alarm_id | ALARM_ID |
| state | insufficient data |
| query | resource_id == INSTANCE_ID |
| insufficient_data_actions | [] |
| repeat_actions | False |
| threshold | 75.0 |
| ok_actions | [] |
| project_id | PROJECT_ID |
| type | threshold |
| comparison_operator | gt |
| description | instance running hot |
+---------------------------+-----------------------------------------------------+
#!bash
$ ceilometer alarm-history -a ALARM_ID
+------------------+----------------------------+---------------------------------------+
| Type | Timestamp | Detail |
+------------------+----------------------------+---------------------------------------+
| creation | 2013-10-01T16:20:29.238000 | name: cpu_high |
| | | description: instance running hot |
| | | type: threshold |
| | | rule: cpu_util > 70.0 during 3 x 600s |
| state transition | 2013-10-01T16:20:40.626000 | state: ok |
| rule change | 2013-10-01T16:22:40.718000 | rule: cpu_util > 75.0 during 3 x 600s |
+------------------+----------------------------+---------------------------------------+
#!bash
$ ceilometer meter-list -q 'resource_id=4b722697-808b-4e55-9322-6e98e607be88' > ceilometer_meters.txt
+--------------------------+------------+-----------+--------------------------------------+----------------------------------+----------------------------------+
| Name | Type | Unit | Resource ID | User ID | Project ID |
+--------------------------+------------+-----------+--------------------------------------+----------------------------------+----------------------------------+
| cpu | cumulative | ns | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| cpu_util | gauge | % | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.ephemeral.size | gauge | GB | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.read.bytes | cumulative | B | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.read.bytes.rate | gauge | B/s | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.read.requests | cumulative | request | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.read.requests.rate | gauge | request/s | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.root.size | gauge | GB | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.write.bytes | cumulative | B | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.write.bytes.rate | gauge | B/s | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.write.requests | cumulative | request | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| disk.write.requests.rate | gauge | request/s | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| instance | gauge | instance | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| instance:m1.large | gauge | instance | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| memory | gauge | MB | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
| vcpus | gauge | vcpu | 4b722697-808b-4e55-9322-6e98e607be88 | 86825aec5be445979fe19d02ec62d659 | 0c4234a80a9c47bdb7fa6f5b65cb7f70 |
+--------------------------+------------+-----------+--------------------------------------+----------------------------------+----------------------------------+
#!bash
$ ceilometer sample-list --meter cpu -q 'resource_id=4b722697-808b-4e55-9322-6e98e607be88' > cpu_samples.txt
+--------------------------------------+------+------------+---------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+--------------------------------------+------+------------+---------------+------+---------------------+
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.97211e+12 | ns | 2015-10-16T21:52:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.84559e+12 | ns | 2015-10-16T21:42:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.72074e+12 | ns | 2015-10-16T21:32:02 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.59776e+12 | ns | 2015-10-16T21:22:14 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.4693e+12 | ns | 2015-10-16T21:12:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.3445e+12 | ns | 2015-10-16T21:02:03 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.21954e+12 | ns | 2015-10-16T20:52:04 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.09113e+12 | ns | 2015-10-16T20:42:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.96612e+12 | ns | 2015-10-16T20:32:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.84019e+12 | ns | 2015-10-16T20:22:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.71275e+12 | ns | 2015-10-16T20:12:11 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.58688e+12 | ns | 2015-10-16T20:02:09 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.46054e+12 | ns | 2015-10-16T19:52:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.33072e+12 | ns | 2015-10-16T19:42:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.20578e+12 | ns | 2015-10-16T19:32:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 2.07999e+12 | ns | 2015-10-16T19:22:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.95095e+12 | ns | 2015-10-16T19:12:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.8256e+12 | ns | 2015-10-16T19:02:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.70027e+12 | ns | 2015-10-16T18:52:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.5721e+12 | ns | 2015-10-16T18:42:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.4477e+12 | ns | 2015-10-16T18:32:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.32281e+12 | ns | 2015-10-16T18:22:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.19525e+12 | ns | 2015-10-16T18:12:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.07123e+12 | ns | 2015-10-16T18:02:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 9.463e+11 | ns | 2015-10-16T17:52:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 8.193e+11 | ns | 2015-10-16T17:42:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 6.9467e+11 | ns | 2015-10-16T17:32:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 5.7084e+11 | ns | 2015-10-16T17:22:00 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 4.7494e+11 | ns | 2015-10-16T17:12:00 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 3.0834e+11 | ns | 2015-10-16T17:02:01 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 1.5395e+11 | ns | 2015-10-16T16:52:00 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu | cumulative | 36440000000.0 | ns | 2015-10-16T16:42:00 |
+--------------------------------------+------+------------+---------------+------+---------------------+
#!bash
$ ceilometer sample-list --meter cpu_util -q 'resource_id=4b722697-808b-4e55-9322-6e98e607be88' > cpu_util_samples.txt
+--------------------------------------+----------+-------+----------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+--------------------------------------+----------+-------+----------------+------+---------------------+
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T21:55:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.28333333333 | % | 2015-10-16T21:54:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T21:53:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22033898305 | % | 2015-10-16T21:52:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10655737705 | % | 2015-10-16T21:51:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22083333333 | % | 2015-10-16T21:50:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.8 | % | 2015-10-16T21:49:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.34210526316 | % | 2015-10-16T21:48:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.11507936508 | % | 2015-10-16T21:47:15 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15833333333 | % | 2015-10-16T21:46:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.275 | % | 2015-10-16T21:45:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1125 | % | 2015-10-16T21:44:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.3625 | % | 2015-10-16T21:43:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.13793103448 | % | 2015-10-16T21:42:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20564516129 | % | 2015-10-16T21:41:14 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.34166666667 | % | 2015-10-16T21:40:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T21:39:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T21:38:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.16666666667 | % | 2015-10-16T21:37:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1625 | % | 2015-10-16T21:36:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22083333333 | % | 2015-10-16T21:35:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.28389830508 | % | 2015-10-16T21:34:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18852459016 | % | 2015-10-16T21:33:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27916666667 | % | 2015-10-16T21:32:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2375 | % | 2015-10-16T21:31:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22916666667 | % | 2015-10-16T21:30:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T21:29:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22083333333 | % | 2015-10-16T21:28:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T21:27:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T21:26:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T21:25:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27916666667 | % | 2015-10-16T21:24:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21610169492 | % | 2015-10-16T21:23:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.06967213115 | % | 2015-10-16T21:22:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.125 | % | 2015-10-16T21:21:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23076923077 | % | 2015-10-16T21:20:18 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18981481481 | % | 2015-10-16T21:19:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.31818181818 | % | 2015-10-16T21:18:19 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.225 | % | 2015-10-16T21:17:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23275862069 | % | 2015-10-16T21:16:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20338983051 | % | 2015-10-16T21:15:15 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.09274193548 | % | 2015-10-16T21:14:16 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18636363636 | % | 2015-10-16T21:13:14 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.14285714286 | % | 2015-10-16T21:12:19 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 4.98015873016 | % | 2015-10-16T21:11:23 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21739130435 | % | 2015-10-16T21:10:20 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15656565657 | % | 2015-10-16T21:09:57 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18534482759 | % | 2015-10-16T21:08:18 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.0 | % | 2015-10-16T21:07:20 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23456790123 | % | 2015-10-16T21:07:11 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18548387097 | % | 2015-10-16T21:04:29 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1484375 | % | 2015-10-16T21:03:27 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25 | % | 2015-10-16T21:02:23 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24528301887 | % | 2015-10-16T21:01:22 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.34274193548 | % | 2015-10-16T21:00:29 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.29237288136 | % | 2015-10-16T20:59:27 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.05392156863 | % | 2015-10-16T20:58:28 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T20:57:37 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.28009259259 | % | 2015-10-16T20:57:21 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 4.84722222222 | % | 2015-10-16T20:55:33 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17914438503 | % | 2015-10-16T20:55:15 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27083333333 | % | 2015-10-16T20:52:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1179245283 | % | 2015-10-16T20:51:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.08455882353 | % | 2015-10-16T20:50:15 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.13596491228 | % | 2015-10-16T20:49:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T20:48:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.69444444444 | % | 2015-10-16T20:47:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1186440678 | % | 2015-10-16T20:46:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.08606557377 | % | 2015-10-16T20:45:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.14655172414 | % | 2015-10-16T20:44:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24193548387 | % | 2015-10-16T20:43:09 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2625 | % | 2015-10-16T20:42:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27678571429 | % | 2015-10-16T20:41:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23046875 | % | 2015-10-16T20:40:11 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.07916666667 | % | 2015-10-16T20:39:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.32203389831 | % | 2015-10-16T20:38:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.0737704918 | % | 2015-10-16T20:37:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17083333333 | % | 2015-10-16T20:36:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.275 | % | 2015-10-16T20:35:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.26271186441 | % | 2015-10-16T20:34:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15983606557 | % | 2015-10-16T20:33:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.37083333333 | % | 2015-10-16T20:32:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.31666666667 | % | 2015-10-16T20:31:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.26666666667 | % | 2015-10-16T20:30:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T20:29:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.30833333333 | % | 2015-10-16T20:28:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.3686440678 | % | 2015-10-16T20:27:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18032786885 | % | 2015-10-16T20:26:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20588235294 | % | 2015-10-16T20:25:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.16044776119 | % | 2015-10-16T20:24:16 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23770491803 | % | 2015-10-16T20:23:09 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T20:22:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24166666667 | % | 2015-10-16T20:21:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.11885245902 | % | 2015-10-16T20:20:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.26315789474 | % | 2015-10-16T20:19:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.13020833333 | % | 2015-10-16T20:18:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21428571429 | % | 2015-10-16T20:17:22 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10483870968 | % | 2015-10-16T20:16:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 7.58854166667 | % | 2015-10-16T20:15:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24626865672 | % | 2015-10-16T20:14:22 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12096774194 | % | 2015-10-16T20:13:15 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10185185185 | % | 2015-10-16T20:12:13 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27816901408 | % | 2015-10-16T20:11:19 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.31896551724 | % | 2015-10-16T20:10:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25 | % | 2015-10-16T20:09:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27380952381 | % | 2015-10-16T20:08:29 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22857142857 | % | 2015-10-16T20:07:47 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23795180723 | % | 2015-10-16T20:06:37 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20703125 | % | 2015-10-16T20:05:14 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2131147541 | % | 2015-10-16T20:04:10 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27941176471 | % | 2015-10-16T20:03:09 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2037037037 | % | 2015-10-16T20:02:18 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23113207547 | % | 2015-10-16T20:01:24 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12658227848 | % | 2015-10-16T20:00:31 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.13839285714 | % | 2015-10-16T19:59:12 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22426470588 | % | 2015-10-16T19:58:16 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20491803279 | % | 2015-10-16T19:57:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2875 | % | 2015-10-16T19:56:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15 | % | 2015-10-16T19:55:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12083333333 | % | 2015-10-16T19:54:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18333333333 | % | 2015-10-16T19:53:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27916666667 | % | 2015-10-16T19:52:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1125 | % | 2015-10-16T19:51:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2625 | % | 2015-10-16T19:50:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24583333333 | % | 2015-10-16T19:49:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.325 | % | 2015-10-16T19:48:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.36666666667 | % | 2015-10-16T19:47:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.79166666667 | % | 2015-10-16T19:46:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22916666667 | % | 2015-10-16T19:45:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.3125 | % | 2015-10-16T19:44:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T19:43:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T19:42:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.33333333333 | % | 2015-10-16T19:41:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27083333333 | % | 2015-10-16T19:40:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T19:39:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15 | % | 2015-10-16T19:38:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.125 | % | 2015-10-16T19:37:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24166666667 | % | 2015-10-16T19:36:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T19:35:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T19:34:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1625 | % | 2015-10-16T19:33:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T19:32:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.275 | % | 2015-10-16T19:31:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.375 | % | 2015-10-16T19:30:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.30833333333 | % | 2015-10-16T19:29:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1375 | % | 2015-10-16T19:28:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.16666666667 | % | 2015-10-16T19:27:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.32083333333 | % | 2015-10-16T19:26:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23333333333 | % | 2015-10-16T19:25:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.30416666667 | % | 2015-10-16T19:24:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15416666667 | % | 2015-10-16T19:23:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2 | % | 2015-10-16T19:22:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.26666666667 | % | 2015-10-16T19:21:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2625 | % | 2015-10-16T19:20:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12916666667 | % | 2015-10-16T19:19:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T19:18:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24166666667 | % | 2015-10-16T19:17:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.625 | % | 2015-10-16T19:16:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T19:15:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.34166666667 | % | 2015-10-16T19:14:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.32083333333 | % | 2015-10-16T19:13:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15416666667 | % | 2015-10-16T19:12:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27083333333 | % | 2015-10-16T19:11:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23333333333 | % | 2015-10-16T19:10:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T19:09:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1375 | % | 2015-10-16T19:08:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T19:07:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21666666667 | % | 2015-10-16T19:06:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25416666667 | % | 2015-10-16T19:05:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2375 | % | 2015-10-16T19:04:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.29583333333 | % | 2015-10-16T19:03:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.07083333333 | % | 2015-10-16T19:02:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T19:01:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.3375 | % | 2015-10-16T19:00:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T18:59:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24583333333 | % | 2015-10-16T18:58:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1375 | % | 2015-10-16T18:57:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27916666667 | % | 2015-10-16T18:56:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.33333333333 | % | 2015-10-16T18:55:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25 | % | 2015-10-16T18:54:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17083333333 | % | 2015-10-16T18:53:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17083333333 | % | 2015-10-16T18:52:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.225 | % | 2015-10-16T18:51:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.07916666667 | % | 2015-10-16T18:50:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25416666667 | % | 2015-10-16T18:49:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2375 | % | 2015-10-16T18:48:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T18:47:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.67916666667 | % | 2015-10-16T18:46:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2125 | % | 2015-10-16T18:45:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.31666666667 | % | 2015-10-16T18:44:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10833333333 | % | 2015-10-16T18:43:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.0875 | % | 2015-10-16T18:42:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2 | % | 2015-10-16T18:41:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21666666667 | % | 2015-10-16T18:40:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25833333333 | % | 2015-10-16T18:39:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T18:38:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25833333333 | % | 2015-10-16T18:37:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.05416666667 | % | 2015-10-16T18:36:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.16666666667 | % | 2015-10-16T18:35:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.125 | % | 2015-10-16T18:34:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T18:33:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27916666667 | % | 2015-10-16T18:32:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T18:31:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.32916666667 | % | 2015-10-16T18:30:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T18:29:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2 | % | 2015-10-16T18:28:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12916666667 | % | 2015-10-16T18:27:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T18:26:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T18:25:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15833333333 | % | 2015-10-16T18:24:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T18:23:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.225 | % | 2015-10-16T18:22:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.36666666667 | % | 2015-10-16T18:21:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15 | % | 2015-10-16T18:20:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.05833333333 | % | 2015-10-16T18:19:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20833333333 | % | 2015-10-16T18:18:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T18:17:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T18:16:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.3125 | % | 2015-10-16T18:15:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21666666667 | % | 2015-10-16T18:14:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2375 | % | 2015-10-16T18:13:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T18:12:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T18:11:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.12916666667 | % | 2015-10-16T18:10:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10416666667 | % | 2015-10-16T18:09:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T18:08:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24166666667 | % | 2015-10-16T18:07:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19166666667 | % | 2015-10-16T18:06:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19166666667 | % | 2015-10-16T18:05:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1125 | % | 2015-10-16T18:04:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1 | % | 2015-10-16T18:03:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.14583333333 | % | 2015-10-16T18:02:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23333333333 | % | 2015-10-16T18:01:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10833333333 | % | 2015-10-16T18:00:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2625 | % | 2015-10-16T17:59:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.32916666667 | % | 2015-10-16T17:58:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19166666667 | % | 2015-10-16T17:57:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:56:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.07916666667 | % | 2015-10-16T17:55:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.21666666667 | % | 2015-10-16T17:54:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.35416666667 | % | 2015-10-16T17:53:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.18333333333 | % | 2015-10-16T17:52:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T17:51:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:50:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T17:49:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:48:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2 | % | 2015-10-16T17:47:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1 | % | 2015-10-16T17:46:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.14583333333 | % | 2015-10-16T17:45:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.29583333333 | % | 2015-10-16T17:44:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:43:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.29583333333 | % | 2015-10-16T17:42:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23333333333 | % | 2015-10-16T17:41:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19166666667 | % | 2015-10-16T17:40:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.1875 | % | 2015-10-16T17:39:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.075 | % | 2015-10-16T17:38:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.075 | % | 2015-10-16T17:37:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.20416666667 | % | 2015-10-16T17:36:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.225 | % | 2015-10-16T17:35:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.23728813559 | % | 2015-10-16T17:34:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.25 | % | 2015-10-16T17:33:08 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.17916666667 | % | 2015-10-16T17:32:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.24166666667 | % | 2015-10-16T17:31:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 4.95833333333 | % | 2015-10-16T17:30:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:29:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.14166666667 | % | 2015-10-16T17:28:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.175 | % | 2015-10-16T17:27:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.22083333333 | % | 2015-10-16T17:26:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.15833333333 | % | 2015-10-16T17:25:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.05 | % | 2015-10-16T17:24:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.28333333333 | % | 2015-10-16T17:23:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.19583333333 | % | 2015-10-16T17:22:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.0625 | % | 2015-10-16T17:21:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.025 | % | 2015-10-16T17:20:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.10416666667 | % | 2015-10-16T17:19:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.2375 | % | 2015-10-16T17:18:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.07916666667 | % | 2015-10-16T17:17:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 7.96666666667 | % | 2015-10-16T17:16:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.183333333333 | % | 2015-10-16T17:15:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.2 | % | 2015-10-16T17:14:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 1.39583333333 | % | 2015-10-16T17:13:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.179166666667 | % | 2015-10-16T17:12:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 1.11666666667 | % | 2015-10-16T17:11:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.5875 | % | 2015-10-16T17:10:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.191666666667 | % | 2015-10-16T17:09:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.84583333333 | % | 2015-10-16T17:08:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 13.1625 | % | 2015-10-16T17:07:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 16.85 | % | 2015-10-16T17:06:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 15.8083333333 | % | 2015-10-16T17:05:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 7.9 | % | 2015-10-16T17:04:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.175 | % | 2015-10-16T17:03:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.24166666667 | % | 2015-10-16T17:02:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.14166666667 | % | 2015-10-16T17:01:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.13333333333 | % | 2015-10-16T17:00:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.21666666667 | % | 2015-10-16T16:59:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.16666666667 | % | 2015-10-16T16:58:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.06666666667 | % | 2015-10-16T16:57:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.0625 | % | 2015-10-16T16:56:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 6.02916666667 | % | 2015-10-16T16:55:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 15.55 | % | 2015-10-16T16:54:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.325 | % | 2015-10-16T16:53:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.225 | % | 2015-10-16T16:52:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.45 | % | 2015-10-16T16:51:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.279166666667 | % | 2015-10-16T16:50:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.891666666667 | % | 2015-10-16T16:49:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 15.3791666667 | % | 2015-10-16T16:48:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.320833333333 | % | 2015-10-16T16:47:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.245833333333 | % | 2015-10-16T16:46:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.275 | % | 2015-10-16T16:45:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 0.825 | % | 2015-10-16T16:44:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 28.8 | % | 2015-10-16T16:43:07 |
| 4b722697-808b-4e55-9322-6e98e607be88 | cpu_util | gauge | 5.27083333333 | % | 2015-10-16T16:42:07 |
+--------------------------------------+----------+-------+----------------+------+---------------------+
#!bash
$ ceilometer statistics --meter cpu_util -q 'resource_id=4b722697-808b-4e55-9322-6e98e607be88' > ceilometer_statistics.txt
+--------+---------------------+---------------------+------+----------------+---------------+---------------+-------+----------+---------------------+---------------------+
| Period | Period Start | Period End | Max | Min | Avg | Sum | Count | Duration | Duration Start | Duration End |
+--------+---------------------+---------------------+------+----------------+---------------+---------------+-------+----------+---------------------+---------------------+
| 0 | 2015-10-16T16:42:07 | 2015-10-16T16:42:07 | 28.8 | 0.179166666667 | 5.28501576909 | 1712.34510919 | 324 | 19505.0 | 2015-10-16T16:42:07 | 2015-10-16T22:07:12 |
+--------+---------------------+---------------------+------+----------------+---------------+---------------+-------+----------+---------------------+---------------------+