headroom_aggregate

08/30/2024 Contributors

PDFs

Display message service time variance and message inter-arrival time variance for aggregates in a node.

Classic Object: resource_headroom_aggr

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_aggregate row.
instance_uuid	uuid	This is the unique identifier for the headroom_aggregate row.

Classic String Counter

REST Property

Description

node_name

node.name

System node name

instance_name

name

This is the name of the headroom_aggregate row.

instance_uuid

uuid

This is the unique identifier for the headroom_aggregate row.

Counters

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

Classic Numeric Counter	REST Counter	Description
service_time	service_time	Disk aggregate service time variance statistics.
interarrival_time	inter_arrival_time	Disk aggregate inter-arrival time variance statistics.
current_utilization	current_utilization	This is the storage aggregate average utilization of all the data disks in the aggregate.
current_utilization_total	current_utilization_denominator	This is the denominator value used to compute current utilization.
current_ops	current_ops	Total number of I/Os processed by the aggregate per second.
current_latency	current_latency	This is the storage aggregate average latency per message at the disk level.
optimal_point_utilization	optimal_point.utilization	The utilization component of the optimal point of the latency/utilization curve.
optimal_point_latency	optimal_point.latency	The latency component of the optimal point of the latency/utilization curve.
optimal_point_ops	optimal_point.ops	The ops component of the optimal point derived from the latency/utilzation curve.
optimal_point_confidence_factor	optimal_point.confidence_factor	The confidence factor for the optimal point value based on the observed resource latency and utilization.
optimal_point_samples	optimal_point.samples	The 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.
ewma_hourly	ewma.hourly	Hourly exponential weighted moving average.
ewm_std_dev_hourly	ewm_std_dev.hourly	Hourly exponential weighted moving standard deviation based on one-minute average values.
ewma_daily	ewma.daily	Daily exponential weighted moving average.
ewm_std_dev_daily	ewm_std_dev.daily	Daily exponential weighted moving standard deviation based on one-minute average values.
ewma_weekly	ewma.weekly	Weekly exponential weighted moving average.
ewm_std_dev_weekly	ewm_std_dev.weekly	Weekly exponential weighted moving standard deviation based on one-minute average values.
ewma_monthly	ewma.monthly	Monthly exponential weighted moving average.
ewm_std_dev_monthly	ewm_std_dev.monthly	Monthly exponential weighted moving standard deviation based on one-minute average values.
current_driver_qtime	current_driver_queue_time	This is the disk driver average queue time for the storage aggregate.
observations_skipped	observations_skipped	The number of observations not processed.

Classic Numeric Counter

REST Counter

Description

service_time

Disk aggregate service time variance statistics.

interarrival_time

inter_arrival_time

Disk aggregate inter-arrival time variance statistics.

current_utilization

This is the storage aggregate average utilization of all the data disks in the
aggregate.

current_utilization_total

current_utilization_denominator

This is the denominator value used to compute current utilization.

current_ops

Total number of I/Os processed by the aggregate per second.

current_latency

This is the storage aggregate average latency per message at the disk level.

optimal_point_utilization

optimal_point.utilization

The utilization component of the optimal point of the latency/utilization curve.

optimal_point_latency

optimal_point.latency

The latency component of the optimal point of the latency/utilization curve.

optimal_point_ops

optimal_point.ops

The ops component of the optimal point derived from the latency/utilzation
curve.

optimal_point_confidence_factor

optimal_point.confidence_factor

The confidence factor for the optimal point value based on the observed resource
latency and utilization.

optimal_point_samples

optimal_point.samples

The 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.

ewma_hourly

ewma.hourly

Hourly exponential weighted moving average.

ewm_std_dev_hourly

ewm_std_dev.hourly

Hourly exponential weighted moving standard deviation based on one-minute
average values.

ewma_daily

ewma.daily

Daily exponential weighted moving average.

ewm_std_dev_daily

ewm_std_dev.daily

Daily exponential weighted moving standard deviation based on one-minute average
values.

ewma_weekly

ewma.weekly

Weekly exponential weighted moving average.

ewm_std_dev_weekly

ewm_std_dev.weekly

Weekly exponential weighted moving standard deviation based on one-minute
average values.

ewma_monthly

ewma.monthly

Monthly exponential weighted moving average.

ewm_std_dev_monthly

ewm_std_dev.monthly

Monthly exponential weighted moving standard deviation based on one-minute
average values.

current_driver_qtime

current_driver_queue_time

This is the disk driver average queue time for the storage aggregate.

observations_skipped

The 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.

REST Counter	Description
uuid	This counter now returns only the storage aggregate UUID instead of a combination of the aggregate name and aggregate UUID.

Table Aliases

This section describes aliases for aggregated tables.