headroom_cpu

11/27/2024 Contributors

This table displays message service time variance and message inter-arrival time variance for WAFL, as well as headroom optimal point information for the CPU resource.

Classic Object: resource_headroom_cpu

Table Row IDs

ID Format	Aggregation Type	Comment
{instance_name}:{instance_uuid}	(not applicable)	This represents the construction of the row ID field, which is a single unique string that identifies a row.

ID Format

Aggregation Type

Comment

{instance_name}:{instance_uuid}

(not applicable)

This represents the construction of the row ID field, which is a single unique string that identifies a row.

Properties

This section describes the mapping between classic (ONTAPI) string counter names and REST property names.

Classic String Counter	REST Property	Description
node_name	node.name	System node name
instance_name	name	This is the name of the headroom_cpu row.
instance_uuid	uuid	UUID for the headroom row. This is the UUID of the node.

Classic String Counter

REST Property

Description

node_name

node.name

System node name

instance_name

name

This is the name of the headroom_cpu row.

instance_uuid

uuid

UUID for the headroom row. This is the UUID of the node.

Counters

This section describes the mapping between classic (ONTAPI) numeric counter names and REST counter names.

Classic Numeric Counter	REST Counter	Description
current_utilization	current_utilization	Average processor utilization across all processors in the system.
current_utilization_total	elapsed_time	Elapsed time since boot.
current_ops	current_ops	Total number of operations per second (also referred to as dblade ops).
current_intercluster_ops	current_intercluster_ops	Total number of operations per second going to the partner node.
current_latency	current_latency	Current operation latency of the resource.
service_time	service_time	Average service time for the CPU resource.
optimal_point_utilization	optimal_point.utilization	Utilization component of the optimal point of the latency/utilization curve. This counter can provide an average utilization over a range of time.
optimal_point_latency	optimal_point.latency	Latency component of the optimal point of the latency/utilization curve. This counter can provide an average latency over a range of time.
optimal_point_ops	optimal_point.ops	Ops component of the optimal point derived from the latency/utilization curve. This counter can provide an average ops over a range of time.
optimal_point_confidence_factor	optimal_point.confidence_factor	Confidence factor for the optimal point value based on the observed resource latency and utilization. The possible values are: 0 - unknown, 1 - low, 2 - medium, 3 - high. This counter can provide an average confidence factor over a range of time.
optimal_point_samples	optimal_point.samples	Base counter for optimal_point_utilization, optimal_point_latency, optimal_point_confidence_factor, and optimal_point_ops. This is the number of one-minute samples since bootup.
wafl_hipri_service_time	wafl_high_priority.service_time	WAFL high priority service time variance statistics.
wafl_lopri_service_time	wafl_low_priority.service_time	WAFL low priority service time variance statistics.
wafl_cppri_service_time	wafl_cp_priority.service_time	WAFL cp priority service time variance statistics.
wafl_cppro_service_time	wafl_cppro.service_time	WAFL cp promoted priority service time variance statistics.
wafl_hipri_interarrival_time	wafl_high_priority.interarrival_time	WAFL high priority inter-arrival time variance statistics.
wafl_lopri_interarrival_time	wafl_low_priority.interarrival_time	WAFL low priority inter-arrival time variance statistics.
wafl_cppri_interarrival_time	wafl_cp_priority.interarrival_time	WAFL cp priority inter-arrival time variance statistics.
wafl_cppro_interarrival_time	wafl_cppro.interarrival_time	WAFL cp promoted priority inter-arrival time variance statistics.
wafl_mpio_read_service_time	wafl_mpio.read_service_time	WAFL MP I/O successful read service time variance statistics.
ewma_hourly	ewma.hourly	Hourly exponential weighted moving average for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization, optimal_point_utilization and optimal_point_confidence_factor.
ewm_std_dev_hourly	ewm_std_dev.hourly	Hourly exponential weighted moving standard deviation based on one-minute average values, for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization and optimal_point_utilization.
ewma_daily	ewma.daily	Daily exponential weighted moving average for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization, optimal_point_utilization and optimal_point_confidence_factor.
ewm_std_dev_daily	ewm_std_dev.daily	Daily exponential weighted moving standard deviation based on one-minute average values, for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization and optimal_point_utilization.
ewma_weekly	ewma.weekly	Weekly exponential weighted moving average for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization, optimal_point_utilization and optimal_point_confidence_factor.
ewm_std_dev_weekly	ewm_std_dev.weekly	Weekly exponential weighted moving standard deviation based on one-minute average values, for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization and optimal_point_utilization.
ewma_monthly	ewma.monthly	Monthly exponential weighted moving average for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization, optimal_point_utilization and optimal_point_confidence_factor.
ewm_std_dev_monthly	ewm_std_dev.monthly	Monthly exponential weighted moving standard deviation based on one-minute average values, for current_ops, optimal_point_ops, current_latency, optimal_point_latency, current_utilization and optimal_point_utilization.
normalized_4k_current_ops	normalized_4k.current_ops	Total number of 4k current ops (normalized).
normalized_4k_optimal_point_ops	normalized_4k.optimal_point_ops	Total number of 4k optimal point ops (normalized).
observations_skipped	observations_skipped	Number of observations not processed.

Classic Numeric Counter

REST Counter

Description

current_utilization

Average processor utilization across all processors in the system.

current_utilization_total

elapsed_time

Elapsed time since boot.

current_ops

Total number of operations per second (also referred to as dblade ops).

current_intercluster_ops

Total number of operations per second going to the partner node.

current_latency

Current operation latency of the resource.

service_time

Average service time for the CPU resource.

optimal_point_utilization

optimal_point.utilization

Utilization component of the optimal point of the latency/utilization curve.
This counter can provide an average utilization over a range of time.

optimal_point_latency

optimal_point.latency

Latency component of the optimal point of the latency/utilization curve. This
counter can provide an average latency over a range of time.

optimal_point_ops

optimal_point.ops

Ops component of the optimal point derived from the latency/utilization curve.
This counter can provide an average ops over a range of time.

optimal_point_confidence_factor

optimal_point.confidence_factor

Confidence factor for the optimal point value based on the observed resource
latency and utilization. The possible values are: 0 - unknown, 1 - low, 2 -
medium, 3 - high. This counter can provide an average confidence factor over a
range of time.

optimal_point_samples

optimal_point.samples

Base counter for optimal_point_utilization, optimal_point_latency,
optimal_point_confidence_factor, and optimal_point_ops. This is the number of
one-minute samples since bootup.

wafl_hipri_service_time

wafl_high_priority.service_time

WAFL high priority service time variance statistics.

wafl_lopri_service_time

wafl_low_priority.service_time

WAFL low priority service time variance statistics.

wafl_cppri_service_time

wafl_cp_priority.service_time

WAFL cp priority service time variance statistics.

wafl_cppro_service_time

wafl_cppro.service_time

WAFL cp promoted priority service time variance statistics.

wafl_hipri_interarrival_time

wafl_high_priority.interarrival_time

WAFL high priority inter-arrival time variance statistics.

wafl_lopri_interarrival_time

wafl_low_priority.interarrival_time

WAFL low priority inter-arrival time variance statistics.

wafl_cppri_interarrival_time

wafl_cp_priority.interarrival_time

WAFL cp priority inter-arrival time variance statistics.

wafl_cppro_interarrival_time

wafl_cppro.interarrival_time

WAFL cp promoted priority inter-arrival time variance statistics.

wafl_mpio_read_service_time

wafl_mpio.read_service_time

WAFL MP I/O successful read service time variance statistics.

ewma_hourly

ewma.hourly

Hourly exponential weighted moving average for current_ops, optimal_point_ops,
current_latency, optimal_point_latency, current_utilization,
optimal_point_utilization and optimal_point_confidence_factor.

ewm_std_dev_hourly

ewm_std_dev.hourly

Hourly exponential weighted moving standard deviation based on one-minute
average values, for current_ops, optimal_point_ops, current_latency,
optimal_point_latency, current_utilization and optimal_point_utilization.

ewma_daily

ewma.daily

Daily exponential weighted moving average for current_ops, optimal_point_ops,
current_latency, optimal_point_latency, current_utilization,
optimal_point_utilization and optimal_point_confidence_factor.

ewm_std_dev_daily

ewm_std_dev.daily

Daily exponential weighted moving standard deviation based on one-minute average
values, for current_ops, optimal_point_ops, current_latency,
optimal_point_latency, current_utilization and optimal_point_utilization.

ewma_weekly

ewma.weekly

Weekly exponential weighted moving average for current_ops, optimal_point_ops,
current_latency, optimal_point_latency, current_utilization,
optimal_point_utilization and optimal_point_confidence_factor.

ewm_std_dev_weekly

ewm_std_dev.weekly

Weekly exponential weighted moving standard deviation based on one-minute
average values, for current_ops, optimal_point_ops, current_latency,
optimal_point_latency, current_utilization and optimal_point_utilization.

ewma_monthly

ewma.monthly

Monthly exponential weighted moving average for current_ops, optimal_point_ops,
current_latency, optimal_point_latency, current_utilization,
optimal_point_utilization and optimal_point_confidence_factor.

ewm_std_dev_monthly

ewm_std_dev.monthly

Monthly exponential weighted moving standard deviation based on one-minute
average values, for current_ops, optimal_point_ops, current_latency,
optimal_point_latency, current_utilization and optimal_point_utilization.

normalized_4k_current_ops

normalized_4k.current_ops

Total number of 4k current ops (normalized).

normalized_4k_optimal_point_ops

normalized_4k.optimal_point_ops

Total number of 4k optimal point ops (normalized).

observations_skipped

Number of observations not processed.

Property/Counter Content Changes

This section describes any output value differences between the classic (ONTAPI) string counter and the respective REST property. It also describes array label name changes between classic array counters and respective REST array counters.

Table Aliases

This section describes aliases for aggregated tables.